[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
research-article
Open access

Opportunities with Multi-Layer Weave Structures in Woven E-Textile Design

Published: 10 November 2024 Publication History

Abstract

Most textiles in day-to-day use are products of weaving. The versatility of this manufacturing technique, which readily supports a multi-layered structure, inclusion of several yarn types, malleability and other valuable characteristics, has attracted attention from HCI researchers intrigued by its potential to expand the interaction capabilities of e-textiles. Research nonetheless has barely scratched the surface of the wealth of weaving techniques and woven structures available. Therefore, a design-research project anchored in practice investigated how touch-sensitive e-textiles’ capabilities might be enriched via advanced multi-layer weaving techniques. The research process, which drew inspiration from literature both on textile design and on woven e-textiles, produced 25 distinct e-textile samples. Results from evaluating the structural properties, electrical capabilities and overall utility of each point to numerous unexplored opportunities from woven multi-layer e-textiles. Even holding potential for entirely new forms of interaction, these represent promising starting points for in-depth investigation.

1 Introduction

Weaving is among the oldest textile-construction methods and remains prevalent in everyday fabric products. The fabric is constructed by interlacing two or more yarn sets orthogonally in a loom. This device separates the longitudinal yarns (the warp) into upper and lower sets to form a ‘shed’ through which the transverse yarns (the weft yarns), carried by a shuttle, are inserted before being accurately positioned with a reed, as Figure 1 shows. The pattern for the weave dictates the raising and lowering of the warp, along with the fabric's structural characteristics (such as its surface texture, density and three-dimensionality). Weave patterns vary in complexity from simple weaves to complex multi-layer structures. With this technique, the fabric can be composed of multiple materials, each with its own characteristics. A woven textile, by applying a specific weave structure to specific materials, permits numerous variations in the resulting construction.
Fig. 1.
Fig. 1. The two loom mechanisms most commonly used for forming the shed: (a) dobby, with which warp yarns get lifted in bundles and (b) the Jacquard mechanism, where each warp yarn is individually controlled. In the diagram, using images reproduced with permission [94, pp. 57, 67], ‘pick’ refers to an individual weft thread.
Over the last 30 years, advances in material science and flexible electronics have accelerated the development of electronic textiles, or e-textiles, which augment woven fabrics with interaction capabilities. For human-computer interaction (HCI), this has opened avenues for extending interaction design to wearable user interfaces—from interaction at skin level [42, 98] to clothes whose conductive yarns augment smartphone interactions [87], from e-textiles with sensors at their surface to fabrics that protect an embedded sensor from direct contact. Our interest centres on multi-layer fabrics, which permit all of these. They represent a powerful platform for versatile sensor structures [31] and circuit integration [19]. Even with just two layers, weaving can build durable yet high-precision solutions with pressure-sensitive touch-based interfaces [16]. Increasing the layer count to 3 offers even richer opportunities. The most prominent of these involve better (i.e., larger-volume) sensor structures for responding to pressure—a capability required of most touch-controlled e-textile interfaces today [4, 25]—and precise control of distinct layers’ connectivity [30, 81]. Furthermore, a dedicated layer can be reserved for certain purposes; e.g., the middle one might house electrical components and their signalling (a power supply, information-transmission and so forth) while the others provide visual and haptic properties [63].
Notwithstanding multi-layer structures’ obvious potential, only a few reports on applying such weaving in e-textile prototypes have been published [90]. In particular, the paucity of research into the interdependence of electrical and sensory properties in textile-based interfaces is hampering progress toward weaves that demand wherein attention to loom mechanisms. These promising properties are subject to constraints imposed by the ways of intertwining warp and weft yarns [82, p. 263]. This paper represents an attempt to expand understanding of the entwined limitations and possibilities of multi-layer weaving. On the basis of practical explorations demonstrating woven multi-layer structures’ value for e-textile prototyping in HCI research, we also offer practical guidance in how researchers can apply structures and techniques familiar from weaving-based textile design/production for groundbreaking e-textile research and design processes.

2 Background

For a backdrop to our explorations, this section situates them in relation to e-textiles generally, the ways in which e-textile research has considered woven structures and weaving techniques, and where that research shows gaps with regard to multi-layer weaves.

2.1 E-Textiles

Electronic textiles incorporate electronic functionality into textile materials at either fibre or structure level via textile-production methods [60]. Therefore, research into them builds on material- and construction-related knowledge accrued over millennia, drawing it together with work on new materials and electronics. The earliest musings on merging textile crafts with engineering date from the 1960s, when research into memory systems employed simple woven structures [13, 59], but a few more decades passed before scholars clearly identified textile-linked methods and materials as a promising domain for developing wearable computers. Georgia Tech and MIT laid the foundation for e-textile research by introducing concepts such as ‘intelligent clothing’ [32] and ‘smart fabrics’ [85] in the late 1990s. Since that initial burst of activity, material science has introduced fibres for specific functions (or ‘functional’ fibres) for energy-harvesting [12], self-powered sensors [118] and artificial muscles [35] atop and within fabrics. Another source of influence has been the development of flexible electronics that enable textile-based input [49], output [37], components and storage in memory [103], coupled with integration of RFID tags [102] and circuit filaments [50].
We can group marriages of electronics with textile materials into two main classes: those using additive methods, which apply electrically functional materials (i.e., conducting, semiconductive and insulating ones, plus electronics) on textile substrates [86] after the textile's creation and integrative methods, which instead embed them in the structures [32] during the construction process.
The additive process is simpler, since the fabric's creation can be a separate, earlier step. For example, embroidering [6, 36, 65, 86] and sewing [20, 66] may stitch functional yarns to the surface of a ready-made textile to produce signal traces for touch-sensitive interfaces [6, 36, 65], keypads [86] and attached components [20, 66]. When the circuitry and textile must support stretchability [105], an alternative additive technique may be required, lamination. Smart garments that track muscle activation [68] are one real-world application of this technique, in which adhesive elastic foils bind the layers together [96].
To incorporate functions into the very structure of the textile during its construction, the integrative methods available include knitting [70], felting [45] and weaving [16]. The resulting e-textiles often benefit from blending traits from different fabric types. Their specific electrical behaviour and the functions that can be embedded within the structure depend significantly on the production method. Knitted fabrics’ looped structures can offer elasticity that is suited well to stretch-sensing [70] and that is absolutely vital for wearable health-care solutions that rely on precision electrode technology [72]. Felting, in turn, consolidates loose fibres into a mesh through which layers of wool and conductive fibre can be merged, for fabrics of varying thicknesses [45]. As for weaving, the orthogonal yarn arrangement affords producing stable structures. This makes it ideal for touch-sensing matrices [87], antennas [30] and thermochromic heat elements [98].

2.2 Woven Structures in HCI

Several aspects of weaving render it suitable for e-textile fabrication: The orthogonal structure offers a stable base for electrically functional textiles, the possibility of combining materials allows for versatility with regard to conductive and traditional materials alike, and the vast repertoire of weaves expands the spectrum on both dimensions (structures and materials). A few HCI e-textile applications have already drawn on weaving techniques/structures, using simple weaves and more complex structures. The taxonomy of woven textile structures and examples of their application in e-textile research is shown in Figure 2. We introduce this starting point below.
Fig. 2.
Fig. 2. Woven-textile structures and their application thus far in e-textile research and development.

2.2.1 Simple Weaves.

Woven structures are categorised by the number of ‘yarn systems’ (sets of warp and weft yarns that move independently within the structure to construct the textile) and their arrangement. These two factors determine the woven structure's complexity and layer count. Simple weaves, using one warp and one weft system [21, pp. 74–90], commonly feature in clothing fabrics.
Simple weaves, the woven structure cited most frequently in e-textile literature [90], provide a stable one-layer base for integrating electrically functional materials. They can serve for sensing touch [22, 77, 115], displaying changing patterns [7, 40, 106] and carrying signals [58, 73, 84].
The simplest of all structures is the plain weave in which every thread passes alternately below and above the cross-wise direction's consecutive threads. However, several other yarn arrangements are possible, each with its own effects on the e-textile's electrical behaviour [15]. Basket [77] and twill [98] weaves, characterised by longer yarn ‘floats’ than a plain weave has, reduce compression and tension in weft and warp yarns, thereby extending the sensitivity range of sensing elements [77] and improving wearable sensors’ adaptation to body movements [98]. With even longer floats and less interlacing, a satin weave lets the fabric incorporate light-emitting-diode (LED) fibres [93]. Waffle weave is a simple weave where the yarns are at greater distances from each other. This makes it looser, giving the fabric more volume. Arranging conductive/resistive yarns in a waffle structure enables sensing pressure [28, 78] as compression changes the fabric's electrical response.

2.2.2 Compound Weaves.

More complex than simple weaves, compound weaves make use of multiple yarn sets. Weaves produced with an additional weft are called double-faced weaves, because they permit creating two-sided fabrics [3], gradients and mixtures and two-colour figurative patterns [47, 117]. If the yarns in the two weft systems are of different materials, distinct functions can be realised. For instance, if camouflage is required [79] or skin contact must be avoided [75], one side might embody embedded functionality while the other provides insulation. More colourful and intricate patterns can be created through Jacquard weaving, which typically brings two or more weft systems into play. It supports labelled LED displays [76], various visual cues needed in touch-based interfaces [89] and other electrically functional figurative patterns.
The warp direction too may have additional yarn systems: parallel but independently controlled longitudinal yarn sets. In double weaves, two layers are created simultaneously by means of two warp and two weft sets [21]. This is the complex woven structure seen most often in e-textile prototyping [90]. When the two layers have independent weft systems, the layers remain fully separated, whereas using a single weft system gives the outcome a tubular structure, which can benefit the fabrication of 3D woven e-textile garments [32] and deformable woven patches for on-skin haptic feedback [52]. Also, the two layers can cross, forming tubes and pockets. Two-layer weaves’ hollow structures have been used to envelope electrical components [14, 28, 50] and other materials [16, 78, 89, 98] inside a textile. This serves particularly well for pressure sensors. One technique interweaves conductive yarn with each layer of a double-weave pocket while piezoresistive velostat [16, 89, 98] or conductive yarn floats [78] act as a medium between the two. Double weaves also let designers create electric-switch structures. Conductive yarns used in the separate layers remain disconnected in their normal state but form a contact upon pressing [16, 91].
Alternatively, the two layers can be interconnected (bound together by a set of warp or weft yarns crossing between them [e.g., 1, 48]) to create a structure called double cloth. More robust than double weave, this structure is especially commonplace in upholstery. E-textile circuitry between the two layers can embed signalling [2, 74], component-specific yarns [37], or both signal traces and integrated components [62], with the sturdy structure protecting against exposure of the between-layer elements and insulating the conductive materials. Double cloth even enables crafting touch-sensitive interfaces, through an embedded capacitive grid structure composed of conductive weft and warp yarns [83].
The layer count need not be limited to 2. This freedom allows for multi-layer fabrics with variously linked or separated layers and for inclusion of spacer materials [44] or multiple levels of electrical conductivity [81]. The density and thickness too can vary. Therefore, one can construct pressure sensors by sandwiching a low-density insulating layer between layers of conductive yarns [78]. Upon compression, the conductive layers come in contact and a press gets detected, with the option of spacer layers enhancing the system by increasing the sensor's volume and springiness [4, 25]. Additionally, layer-specific elasticity levels afford stretchable signal paths [34]. As elastic outer layers bend, the non-elastic layers below them may compress and wrinkle while those layers’ embedded conductive strands remain unharmed; likewise, said strands can elongate when the textile is stretched.
Many-layer fabrics also let touch-sensitive areas span several layers. Using non-conductive outer layers to protect integrated components and electrical signalling woven into the middle layer represents an inversion of such structures [63]. Three-layer structures support various other sorts of signal flows also. Embedded antennas are one example [30]. Also, electrical signalling integrated into the inner layers can be brought to the textile's surface at selected locations for post-weaving connection of external components [99].
Finally, cutting certain layers in a certain manner after weaving transforms a planar woven textile into a 3D shape, thus affording entirely new forms of interaction [11]. Multi-layer textiles’ most extreme form relies on 3D woven fabrics with dozens of layers [44]. While woven shoes [39] and various other fully woven 3D objects could be crafted with 3D woven structures, their applicability in e-textile development has yet to be explored.

2.2.3 Supplementary Yarn Systems.

Compound weaves can be created or augmented by means of supplementary yarn systems. A supplementary warp or weft is an additional system that does not contribute to the textile's fundamental structure. Traditionally these function for decoration, reinforcement, or creation of float and pile structures at the surface [21]. Thanks to supplementary yarns of a material, density and/or colour different from the base fabric's, woven e-textiles can offer additional functional, visual and tactile properties [87, 89, 112], as in surfaces that sense gestures by means of capacitive grids [87]. Meanwhile, the complexity required of the base textile is not affected.
Techniques in this family are ideal for embedding functional elements in predefined locations. In the fil coupé technique, the supplementary weft intertwines with the base structure location-specifically while yarn floats are formed elsewhere [71]. At the former, the technique can create touch- and pressure-sensitive regions of various shapes [78, 87, 89], while the yarn floats can be either cut off after weaving, to disconnect the conductive areas from one another [78, 89], or used later to attach a capacitive grid to electronics [87]. Another approach is to weave in additional materials via the inlay technique, in which a continuous weft yarn is made part of the weave at a specific location in the textile along with the ground wefts [21, p. 141]. Researchers using this technique, which is more tightly bound to the base structure, have created a woven potentiometer [111] and thermochromic displays [17, 28] embedded in a broader stretch of woven textile.

2.3 Gaps and Opportunities in the Field of Woven E-Textiles

The review above attests that weaving holds promise for many types of e-textiles. Yet e-textile scholarship is noteworthy for its lack of studies working with multi-layer structures, despite their versatility and affordable manufacturing process [90]. The few exceptions have limited themselves to applications that increase the volume of sensing elements, provide insulation between the top and bottom layer, and embed signal traces and electrical components in a way that provides insulation and protects against exposure.
There is a clear gap here, in that scholars have recognised multi-layer weaves’ potential [90], expressing visions for multi-layer circuitry [16] and versatile sensor structures [31]. Likewise, four-layer structures have been proposed as a platform for signal-path integration [34, 99], yet anything beyond three layers [10] has gone without investigation for textile-based interfaces.
We see opportunities for multi-layer weaves in three key respects.
(1)
Layer-structure-specific behaviours: The range of multi-layer structures and topologies available accommodates many distinct uses. Alongside layers and 2D patterns, they support both open structures (pockets and tubes) and various interconnected ones, each with corresponding electrical behaviour.
(2)
Versatile combinations of materials: Layers afford variations in function and sensory effect through combining yarn types as necessary for particular behaviours (e.g., sensing pressure [16, 67, 89]) or tactile/aesthetic effects, functions and so forth [17].
(3)
Weft-patterning to augment electrical properties: Applicable with any base textile, however simple or complex, weft patterns afford structure/material variations that are ideal for functions localised to specific regions of the textile.
These priorities guided the weaving explorations presented below.

3 Methods

Our project cohered around practice-based design research, wherein design practices and design artefacts are fundamental to the knowledge creation [27]. As we sought deeper understanding of multi-layer structures’ potential in e-textile development, we employed an accumulative method of experimentation [51], iteratively amassing knowledge via several design experiments, or explorations. Through seven explorations, we examined how layer-count factors, open/interconnected layer structures and supplementary yarn systems may affect the design space for circuits integrated into fabrics. We considered also how structure choices affect such sensory properties as the textile's feel to the touch and how it looks. In the course of the project, we developed and evaluated 25 woven samples, the number necessary for the explorations we undertook to study what multi-layer structures offer for e-textile design.
Our exploration process was firmly grounded in real-world woven-textile design practice and what Lean has called textile thinking, ‘the understandings developed through the practice of using textiles to explore new concepts and design challenges’ [53, p. 54]. That is, we drew on embodied knowledge of materials, instinctual analytical thinking and sensitivity to the materiality/structures of textiles, learned through accumulated experiences of making and synthesised with design practice [80]. In this endeavour, we benefitted especially from the first author's textile-design experience, fruit of a decade of specialising in weaving and in woven-textile and e-textile design.
The research process's design and construction explorations utilised reflective practice [95] that subjected the samples to sensory and basic technical evaluation both. Figure 3 outlines some aspects of the textile-design work and this evaluation. All artefacts from that process—the woven samples, weave files, pictures, and documentation—were produced by the first author, who also performed the subjective sensory assessments and initial technical evaluations.
Fig. 3.
Fig. 3. Some elements of the design, weaving and evaluation during our explorations.
Operating at proof-of-concept level, the explorations were oriented toward probing whether circuit integration using multi-layer structures is even possible. Aligned with that goal, our evaluation methods used simple materials that remained largely the same across all explorations, in pursuit of highly generalisable findings. In keeping with our proof-of-concept approach, we did not carry out controlled abrasion tests [9] and other experiments typical of industrial-grade commercialised fabrics’ evaluation with the final materials. Taking the results further, the second author conducted more thorough technical evaluations of the final woven e-textile samples. The third author's contribution helped contextualise the findings to HCI research and related advances.
Next, we present the weaving and evaluation methods in more depth, capturing the emergent nature of the process [29].

3.1 The Weaving Explorations

The seven iterative design explorations, summarised in Figure 4, investigated the three research opportunities we pinpointed for delving into the potential for multi-layer structures in e-textiles. Mindful that the literature on woven e-textiles recommends considering the materials’ functional, visual and tactile qualities in tandem, our study addressed all these facets. With explorations 1–4, we focused on multi-layer weaves with special regard to layer count and the differences between open and interconnected structures. Explorations 5–7, in turn, investigated varying the materials in the weave, and the last one narrowed the focus specifically to applying weft-patterning techniques.
Fig. 4.
Fig. 4. A schematic outline of the foci for our various explorations (X1–X7). The yarn densities, layer counts, etc. shown are illustrative only and do not reflect the actual multi-layer e-textile design.
Since the e-textile literature was silent on how multi-layer structures behave, we began by designing Exploration 1 to examine how increasing the layer count influences the structural stability of a non-linked multi-layer weave. Examining samples with 2–9 fabric layers revealed stability problems in highly layered fabrics: they suffered as the weft density grew especially high. Wondering whether increasing the outer layers’ warp density could offer a remedy, we undertook Exploration 2 to analyse how the warp's distribution between layers affects the structural stability of non-linked multi-layer weave structures. With five samples, varying in their warp distribution and containing conductive yarn in every other layer, we observed stability improvements. While these proved insufficient for the task at hand, they did meet the insulation and other electrical requirements for many e-textile uses. In Exploration 3, we sought to increase the textile's stability by other means, exploring how interconnecting the layers affects structural stability. We created four samples that, though similar in their conductive- and insulating-layer arrangements to the earlier explorations’, had their layers stitched together by intersecting selected weft and warp yarns from different layers. This structure made the conductive layers challenging to access and, hence, utilise. Therefore, Exploration 4 probed structural variations in linked multi-layer weaves further by attending to how an interconnected internal layer's conductive materials may be accessed from the surface. This exploration's samples differed from Exploration 3's in bringing the conductive yarns from the middle layer to the surface.
While explorations 1–4 shed light on structural variations within multi-layer weaves, they did not reveal what influence a wider range of weft materials might exert on woven e-textiles’ qualities. Exploration 5 proceeded from this consideration, asking how the look and feel of e-textiles’ surface can be varied through the use of double-faced weave. Testing three distinct sensor-matrix samples, we found a double-faced weave suitable for implementing desired surface properties in a manner that does not impinge on the electrical characteristics of the weaves’ functional inner structures. Next, we varied the weft materials also in the inner layers. Exploration 6 addressed how a multi-layer weave's electrical behaviour can be altered via variations to the materials in the interior structures. From fabricating a sample that adjusted the preceding exploration's grid structure by employing piezoresistive yarn as the middle layer's insulating weft material, we discovered that the sensor matrix can be changed from a capacitive into a piezoresistive one without any changes to the outer layers’ material or weave pattern.
We rounded out our explorations by addressing a final requirement for any woven e-textile interface designed for real-world use: it must be possible to limit the structural and material variations to specific regions of the textile. Exploration 7, building on the previous explorations’ insight, investigated how functional multi-layer weave structures can be embedded location-specifically in an otherwise single-layer textile. We increased the number of weft systems in specific regions by using weft-patterning techniques. This proved suitable for raising the layer count locally within a woven e-textile and, therefore, for fabricating separate functional elements in the interfaces.

3.1.1 The Samples’ Construction and Evaluation.

We constructed the samples manually, hand-weaving them at our university's weaving studio on two looms, with different mechanisms: a TC2 digital Jacquard loom and a Toika 16-shaft dobby loom. The Jacquard loom offered complete control of each individual yarn, thus enabling construction of more complex structures. It allowed us to fabricate samples with location-specific functional elements and yarn arrangements that require control over each warp yarn. However, some parameters were beyond our control: the warp was set to use 30 yarns/cm, and its material was always white mercerised cotton.
With the Toika dobby loom, in contrast, we could use a bespoke warp composed of cotton and conductive yarns. Because dobby looms lift the warp yarns mechanically in bundles only, we could weave samples in which the overall structure and material combinations were uniform across the textile and did not require detail-level modifications.
We designed the weave structures and the material selection exploration-specifically. In explorations 1–4, we used plain-weave-based multi-layer structures and limited the material to cotton (for Exploration 1) or to conductive and insulating yarn (in explorations 2–4). For explorations 5–7, we expanded the weave and material choices to cater for more versatile electrical behaviour and to emphasise tactile differences and visually distinct outcomes.
Although the looms were manually operated, they were computer-controlled, and the weave structures were specified in digital files. Therefore, our sample-construction cycle typically was made up of sequences of digital-construction-file preparation, material selection, observation during weaving and reflective evaluation of the outcome. After several iterations, we arrived at the desired outcome. The article's supplementary materials provide thorough description of the structures and materials.
Table 1 presents details of our two-pronged evaluation, covering the methods for the sensory tests and the basic electrical assessment both. Since haptic information is crucial for textile evaluation and design decision-making [92], we took care to choose subjective sensory-assessment methods that are commonplace for assessing the ‘fabric hand’1 in the woven-textile domain [8, 97, 100] to judge overall impressions of properties such as sample thickness, drapability and structural stability. In addition, the first author made electrical measurements with a digital multimeter, following a procedure similar to prior work's [104, pp. 119–123], both during weaving and after removal from the looms. The evaluation focused on quality control during sample creation and was aimed primarily at error-detection. In the event of errors, iteration of the structures ensued and weaving was performed again. The evaluations supported immediate reflection-in-action for iterative improvements to patterns and material selections as weaving progressed. They also aided in identifying further research questions, for later explorations.
Table 1.
During weavingSubjective sensory assessment based on the visual and tactile experience
rubbing between thumb and forefinger to check overall feel
running a thumbnail across the weft to gauge the structure's stability (imperceptible yarn movement suggests high structural stability while millimetre-scale movements imply the opposite)
 Visual observation of the weft-yarn density and surface texture
Basic electrical measurements with a multimeter, for error-detection
After removal from the loomSubjective sensory assessment based on visual and tactile factors
rubbing as described above, this time to assess structural stability
running a nail across the weft yarns (see above)
with thumb and index finger separating non-linked layers, rubbing a single one to assess the yarns’ looseness
 Calculation of yarn density from the number of weft yarns (‘picks’) and warp yarns (‘ends’) per centimetre
Visual inspection of crosscuts, from unravelling weft and warp yarns to reveal how the threads intertwine in the multi-layer structures
Multimeter measurements of the conductive structures’ connectivity and resistance, for detection of any errors in functional structures
After sample constructionMore advanced measurements, with high-precision instruments, to evaluate the samples’ electrical behaviour
Table 1. The Evaluation Methods Employed in the Design Project

3.1.2 The Final Measurements.

Comprehensive evaluation of the final samples’ electrical performance was carried out as the project neared its conclusion. For this, the second author used high-precision instruments to conduct controlled experiments on artefacts from explorations 2 to 7. In general, these focused on examining how the woven structures, the layer arrangements and the materials used in the structures influenced the electrical behaviour of the samples. The tests of samples from explorations 2 and 3 measured electrically related differences between linked and non-linked multi-layer samples. Those addressing Exploration 4 evaluated how electrical behaviour was affected by yarn systems’ locations within linked multi-layer structures. Finally, we measured the electrical behaviour of the samples from explorations 5, 6 and 7 in baseline conditions and upon interaction, to examine the effect of material choice on electrical interactivity. To present the electrical responses graphically, we used a frequency-based approach wherein Lissajous-pattern signals [101] assist in identifying impedance and semiconductive properties, such as those at the surface of steel-based yarns.
Appendix A provides the technical details of these measurements.

4 Weaving Explorations

This section describes each exploration in turn, presenting the evaluations (subjective and technical) and discussing the implications both for e-textiles’ circuit integration and, more broadly, for the design of visually and tactilely versatile woven interfaces. We use abbreviations to refer to specific samples; for example, ‘X1-A’ denotes sample A from Exploration 1.

4.1 Identifying the Maximum Practical Layer Count (Exploration 1)

The main seed for our project lay in observing that e-textile research has ignored the option of using fabrics with more than four layers. Therefore, prior findings pertain only to situations wherein (1) two outer layers protect an inner one's electrical components [e.g., 63]; (2) an insulating middle layer separates conductive materials in the outer layers [e.g., 4, 30, 81]; or (3) the structure functions to carry signals between layers within the textile [34, 99]. We explored whether more layers could serve designing with conductive properties.
Seeking generalisable results, we selected materials and weaving techniques common in textile manufacture: using one shuttle, the TC2 Jacquard loom and a compound weave structure comprising two or more clearly separated plain-weave layers, we fabricated samples (presented in Figure 5) with 2–9 layers and a density commonplace in textile-manufacturing: 30 yarns/cm. Since we were interested purely in structure-linked traits at this point, we did not embed electrically functional materials in the samples.
Fig. 5.
Fig. 5. The samples created and examined in Exploration 1, with the layer count increasing from 2 (top left) all the way to 9 (bottom right).
Firstly, we tested the maximum layer count, the upper limit for retaining a stable structure as the textile's warp-yarn density unavoidably decreases by dint of distribution across all the layers. Because this question had not been explored in an e-textile context before, we opted for the most straightforward approach possible, spreading the weft and warp yarns uniformly over all layers for the entire width of the textile. More advanced distributions were left for later explorations.

4.1.1 Results.

We observed that, overall, the layers can be kept mostly separable even in nine-layer samples, without any tools more advanced than a standard manually controlled Jacquard loom. Dividing the warp yarns across multiple layers affected the warp and the weft densities differently. Since every further layer reduced the number of warp yarns per layer, the weft floats became longer. Hence, the weft yarns could intertwine increasingly densely (as the pattern of vertical densities from X1-A/A1 to X1-H/H1 in Figure 5 attests). Unsurprisingly, using longer weft floats compromised weave stability, because this made the structure looser.

4.1.2 Discussion.

We did not find a strict upper limit for the layer count in woven textiles. However, higher ones necessitate considering structural stability. This has implications for the fabric's durability. As the weft density and yarn-float lengths increase for reason of the lower warp density, the structure's balance affects the stability of each layer. Longer floats can move relative to each other when external stress gets applied. This property is strongly related to the surface's durability and abrasion-resistance. In woven e-textiles, an unstable yarn arrangement could render functional structures less reliable, leading to unpredictable electrical behaviour. Finally, by increasing the woven textile's volume and, in turn, its elasticity, a higher layer count can protect the inner layers.

4.2 Strengthening the Outer Layer and Adding Conductive Intermediate Ones (Exploration 2)

Continuing our search for the highest practical layer count, we turned our attention to other conditions that e-textiles require: incorporating conductive materials into non-surface layers and ensuring a durable surface. We used the TC2 Jacquard loom to fabricate five non-linked multi-layer weave samples (shown in Figure 6) that (1) used alternating conductive and insulating layers and (2) adjusted the warp distribution to assign more of its yarns to the outer layer. To compensate for lower layers’ reduced yarn density, we used wool for the weft. Wool's amenability to felting [43] enhances stability, while its protruding fibres increase volume, thereby adding distance and insulation between layers. The insulating layers were woven solely with wool yarn, while the conductive ones employed a blend of wool and silver-polyamide yarn. Dividing the warp into smaller sections let us create six instances per sample, each 10 cm wide. We left the weft and warp yarns for the conductive layers floating between these parallel sections. This simplified connecting those layers to measurement instruments after weaving and cutting.
Fig. 6.
Fig. 6. The non-linked multi-layer samples in Exploration 2.
The first three samples, X2-A to X2-C in Figure 6, had three, five and seven layers, respectively, with the warp distributed evenly across them all. These samples provided a basis for comparison. With the final two samples (the five-layer X2-D and seven-layer X2-E), we implemented uneven warp distributions to explore the relationship between top-layer warp densities and the structure's surface characteristics. These samples’ denser-warp top layer had the same yarn count as each layer in the three-layer X2-A: 10 yarns/cm. Their remaining warp yarns were spread equally across the other layers.

4.2.1 Results.

Samples with an adjusted warp distribution (X2-D and X2-E) exhibited greater stability than X2-A to X2-C and those from Exploration 1. The top layer's denser warp helped make the weft floats shorter and less likely to move when exposed to rubbing. The shorter weft floats prevented the weft yarns from intertwining densely in the top layer. With the weft density for other layers following suit, that reduced the weft's yarn count and, subsequently, the textile samples’ stiffness and thickness. In addition, since the layers were less voluminous, we found the overall structure more balanced, as is evident from the cross-section images (b2–e2 in Figure 6).
The electrical measurements from this exploration supplied reference data for later explorations, particularly comparisons related to how layers’ conductivity changes upon application of external pressure to the fabric. Data from these are presented in connection with Exploration 3's results, below.

4.2.2 Discussion.

This exploration yielded promising results: multi-layer e-textiles including not just 1–2 but even three or four conductive layers are possible. Fabrics with a dense outer layer and sufficiently insulated conductive layers could be created with as many as seven layers. A denser warp for the outermost layers ensures shorter weft floats, thus increasing the surface's resistance to wear [46]. This should prove advantageous for textiles subject to external stress and abrasion (e.g., in smart work-wear and outdoor clothing). A denser warp also results in stronger intersection of the warp and weft (they cross at more points at the top). That affords greater variety in yarns’ interlacement points and, thereby, a wider array of weave options influencing e-textiles’ surface look and feel. We returned to this factor when conducting explorations 5–7.

4.3 Improving Structural Stability via Interconnected Layers (Exploration 3)

The previous exploration identified promising routes to follow for greater structural stability. We could now direct our attention to options for even better results. Accordingly, all the samples were five-layer ones featuring a dense outer layer. By fabricating structures whose layers were interconnected via non-conductive yarns, we pulled the layers closer together and prevented them from sliding with respect to each other.
Linking the layers together requires stitching. For this, we chose the ‘self-stitching’ technique, in which a weft yarn from one layer and a warp yarn from another are connected at intermediate points through yarns from one or the other layer [1]. In this exploration, whose material configuration is detailed in Figure 7, specific warp yarns in the outermost and middle layer were stitched together with the weft yarns of the second and fourth layer at roughly 5 mm intervals (as manifested in a3–d3). By using the same weave structure for all samples while adjusting the conductive layers’ weft-material compositions, our experiments helped us pinpoint how the balance between insulating and conductive material influences the weave's electrical properties.
Fig. 7.
Fig. 7. Exploration 3's linked multi-layer samples, varying the warp distribution and the weft-material configuration for stability purposes.

4.3.1 Results.

Linking the layers together had the intended effect: when we exposed the samples to abrasion and rubbing, the internal stitching decreased their movement relative to each other. This was expected, given that woven-textile design and construction frequently relies on interconnecting to give the product a better fabric hand [1]. We found also that the stitching reduced the movement of the weft yarns at the surface, strengthening the textile's wear-resistance. Multiple linked layers thus improved on Exploration 2's results, yielding a stabler, flatter and more drapable structure than the looser, more malleable non-linked weave created.
Inspecting crosscuts of the linked structure did reveal partial merging of layers due to self-stitching, a phenomenon that could compromise electrical insulation between conductive layers, potentially even leading to short-circuits. However, the instruments assured us that the wool layers conferred proper insulation. In comparison to the non-linked layering from Exploration 2, the samples with linked layers had better protection from external mechanical influence, and placing a weight on top did not affect the signal substantially. In the absence of external pressure, signal-conduction strength depended on the use of conductive yarn in each layer: with a 1:4 ratio of conductive to plain yarn, X3-A had the weakest signal-transmission (27.2% of the maximum voltage); X3-B and X3-C, both with a 1:2 ratio, proved better (at 30.7%) and X3-D with its 1:1 ratio reached the highest values (36.4%). All levels were higher than the corresponding ones from Exploration 2. Applying external pressure caused only minor drops in these figures, of one percentage point (1 pp) (X3-A: 27.0%, X3-B: 30.6%, X3-C: 31.7% and X3-D: 37.2%). In contrast, the non-linked layer structures from all samples in the previous exploration exhibited a noticeable reaction to the mass. Figure 8 offers a graphical summary of these differences between the linked and non-linked multi-layer samples.
Fig. 8.
Fig. 8. Lissajous graphs portraying the conductivity differences between our non-linked and linked multi-layer samples, based on oscilloscope output: (a) non-linked five-layer weaves from Exploration 2, (b) the linked multi-layer samples from Exploration 3 and (c) the two curve sets overlaid to crystallise the linked layer structure's systematically stronger signal coupling relative to the non-linked samples’ and their lower sensitivity to the external mass.
The measurements also revealed that all the samples could function as capacitors; that is, a signal fed to one layer ‘jumped’ to the next, mirroring how an alternating current signal behaves when passing through a plate capacitor. Capacitive performance improved as a function of the proportion of conductive yarn in the charged layers. Considering the values alongside those from the non-linked multi-layer samples showed us that Exploration 3, with its linked layers, led to better capacitive performance.

4.3.2 Discussion.

The findings point to possible stability gains from interconnection of woven textiles’ layers. This effect is especially evident in samples whose surface-layer warp density has been tweaked simultaneously. Therefore, we concluded that linked multi-layer weaves can be appropriate for interactive furniture and other durability-demanding e-textile applications. Since linking the fabric's layers entails stitching, (of which self-stitching that we used is a variant), designers must account for the effects on insulation between the inner layers, however. They must select the intersection points carefully on the basis of the conductive yarns’ arrangement. Future efforts to alleviate the problem could encompass other stitching techniques; in one option, centre stitching [1], an additional warp or weft set is reserved for stitching alone, though this presents the drawback of adding complexity to the weaving process.
The electrical results too showed promise. Importantly, signal strengths were practically unaffected by our external pressure. Our measurements also attest to linked multi-layer structures’ utility in creating new types of capacitive sensors. For example, they might hold value for measuring humidity and for detecting changes in textile materials’ dielectric properties (e.g., their response to ultraviolet radiation).

4.4 Accessing Inner Layers’ Signals from the Surface (Exploration 4)

In light of the linked structure's promising stability and insulation characteristics, Exploration 4 continued our work in this vein. Here, we tackled a challenge that emerged in Exploration 3: how to access the signals in the conductive inner layers from the fabric's surface.
We began with the linked five-layer structure used for X3-C but expanded this with a conductive warp designed to bring the conductive yarns from the middle layer to the surface. For this purpose, we made use of planting, a method that weavers most typically apply to augment the warp with colour variations [69]. Over a width of 14.5 cm in the TC2 Jacquard loom's warp, we replaced 57 out of the 435 cotton yarns with conductive ones. We used the same warp to connect separate conductive weft yarns to form, and connect between, unified conductive areas in specific areas on the fabric's surface.
To probe possible ways of accessing the middle layers, we took different approaches to linking conductive layers, with two samples, a and b in Figure 9. As the figure shows, we swapped the order of the middle and top layer by dividing the conductive warp yarns equally into three warp systems (top, middle and bottom) to form conductive areas with intersecting conductive weft yarns. In both samples, we brought the signal from the middle layer to the top one by repositioning the conductive warp systems between the layers (see the figure's pane c, marks 3 and 4) while the cotton warp yarns remained in place. Finally, we used the bottom layer as a unified earth; all of its conductive areas were connected via the conductive warp system that did not switch location between layers (marked ‘2’ in pane c).
Fig. 9.
Fig. 9. Exploration 4's two samples: X4-A (1–3) and X4-B (1–3). Pane c shows the first sample's layer-switching (the figure presents the order of interconnecting layers in the weft but does not fully capture the use of intersecting weft across the sample or the precise yarn arrangement and densities). The photos show the first sample on the loom (d) and its yarn floats being cut after weaving (e).
In the first sample (X4-A), the conductive portions of each layer overlapped completely, whilst some parts of the conductive layers in the second sample (X4-B) were woven with wool only, creating non-conductive regions on the surface (a2 and b2 in the figure). The purpose behind this was to identify whether the conductive warp yarns could be left floating when not needed for fabrication of conductive areas, along with any influence on the overall structure of the textile.
One of the main technical challenges we faced lay in how to isolate the conductive areas woven with any given warp set from one another. This was important for our exploration because we sought structures wherein electrical functions can vary between surface areas. The problem stemmed from using a conductive warp that spans the textile's entire length: the same warp yarns featured in multiple conductive regions. Ultimately, we resolved the issue via the fil coupé technique. As the yarns marked by ‘3’ and ‘4’ in pane c indicate, the conductive warp yarns brought from the middle layer created floats on the top one before interlacing with it. We cut the floats after weaving, thereby achieving isolation (see panes d and e). Although creation of loose ends may seem peculiar, yarn-cutting is a widely used finishing technique in woven-textile manufacturing [71].

4.4.1 Results.

This exploration homed in on a means by which a signal from an inner layer can be brought to the textile's surface and vice versa. It combines the use of an additional conductive warp system, swapping of conductive yarn systems, and fil coupé weaving. While the technique reduced the top layer's warp density (since it requires cutting the conductive warp yarns and leaving them floating), it did not appear to degrade the fabric's structural stability, as examined via visually inspecting the crosscut and testing by rubbing. Comparison between samples X4-A and X4-B showed that the conductive warp can safely be left floating when not needed for weaving conductive areas; structural stability did not decline noticeably.
Electrical measurements of both samples when external pressure was applied (see Figure 10) revealed that the galvanic connections within the mesh of conductive weft and warp yarns were solid enough to ensure electrical connection both within each conductive region and between conductive areas on separate layers. In other respects, the measurement results were similar to those from Exploration 3: Without a mass, the voltage responses of X4-A's two overlapping layers were within 0.3 pp of each other and X4-B's responses differed by less than 0.1 pp. When the mass was applied to the input layer, X4-A showed a slight increase in both cases (below 3 pp), and applying the mass to the measurement layer produced a slight decrease in both cases (again, ¡3 id=”671” pp). Sample B, on the other hand, exhibited a slight increase (¡1 id=”672” pp) when the weight was placed on the measurement layer and a more significant increase (5 pp) upon placement on the input layer. These differences may be explained by the additional conductive layers in the first sample, which add to the electrical loading of the signal. In sum, measurements attest that the changes to the double-cloth structure neither caused the signal to deteriorate nor compromised the signals’ tendency to couple between layers.
Fig. 10.
Fig. 10. The placement of the mass on the conductive areas of Exploration 4's samples.

4.4.2 Discussion.

Directly accessing multi-layer weaves’ inner structure can be difficult in interconnected textile structures; however, the exploration uncovered a mechanism to bring those signals to the surface. Our findings suggest that the fil coupé technique permits weaving multiple distinct functional structures with conductive yarns planted within the warp. Since there is no limit to the length of floats, they can isolate conductive areas within close proximity and, just as well, form functional elements across a wider surface expanse. Fil coupé does need careful planning, however. As the yarn cuts reduce the top layer's warp count, it also influences its structure and durability. Cutting too many warp yarns, especially when a wide surface area is involved, can decrease resistance to wear. At the same time, sparsely spaced conductive warp yarns form weaker connections to the surface electrode. Therefore, successful use of the technique requires finding a balance that keeps the weave structure sufficiently stable while using a dense enough conductive warp to form an electrically well-unified mesh of conductive weft yarns. A further option to explore involves using not a conductive warp to swap the locations between layers but conductive weft yarns, carrying the signal to the surface in the weft direction. That might enable more sophisticated electrically functional structures and interface layouts in which physical dimensions can be scaled (up and down) in the warp and weft direction alike. This could afford dimensioning for garments: producing functional regions proportional to the e-textile's overall size.
Furthermore, an additional option worth exploring involves placing the conductive warp on another warp beam, distinct from the ground warp. This advanced approach, facilitated by appropriate machinery commonly utilised in full-scale production, permits an increase in the yarn count of the conductive warp. Consequently, the conductive warp can be subdivided into smaller sets of separate yarn systems capable of moving independently from one another without compromising the density of the base textile. This approach could enhance control and flexibility in the weaving process while preserving the integrity of the base textile.

4.5 Varying the Surface's Material and Weave Patterns (Exploration 5)

Our explorations thus far had used the simplest weave pattern, plain weave, for every layers, varying only the layers’ materials and yarn densities. The final three explorations focused on opportunities that other weaves might offer for patterning, sensory aspects such as the fabric's feel to the touch and related aesthetics. The overall target was a method by which the electrical properties of a multi-layer structure may be designed concurrently with the fabric's tactile and visual patterns. Visual and tactile patterns offer the user important cues related to the areas that possess interactive capabilities. Also crucially, a solution would support designing aesthetically pleasing e-textiles.
In the first of the remaining explorations, we pursued an approach of using two weft systems to weave the topmost layer such that the upper one would be visible to the user and enable independent weave patterns and material variations while a lower layer supplies the desired electrical properties. The associated challenges prompted us to consider a double-faced weave. Its distinguishing characteristic—the two weft systems facing opposite sides of the layer of fabric—enables designing the inward- and the outward-facing side independently from each other.
We fabricated three samples based on an ‘orthogonal sensing matrix structure’ that has played both capacitive and resistive roles in e-textile prototyping [116]. For these samples, shown in Figure 11, we deployed capacitive matrices in a weave structure with three linked layers, the topmost one of which featured a double-faced weave. Hence, the two sides of the top layer could be mutually distinct in their design: the weft materials with multiple sensory elements faced outward and the conductive weft system faced inward.
Fig. 11.
Fig. 11. The samples from exploring diverse surface materials: thick cotton yarn (a); strips of leather plus loosely spun silk yarn (b); and cotton string, fishing line, a mohair–silk blend, silk thread and strips of plastic (c).
Our emphasis on the sensing matrix's structure led us to a bespoke warp composed of cotton and conductive yarns. The latter formed strips 1 cm wide in a warp of 38/2 mercerised cotton yarn, with an overall density of 24 yarns/cm. All work was done on a 16-shaft computer-assisted Toika dobby loom. We formed the capacitive grid by embedding conductive weft lines in the top layer, while the conductive warp lines were in the bottom one. An insulating middle layer separated the two. The structure is presented in Figure 12, pane a, which articulates the contrast between this exploration's grid structures and those used for Exploration 6 (in pane b).
Fig. 12.
Fig. 12. The capacitive and piezoresistive sensing-matrix structures used in explorations 5 and 6.
In all of the samples, the bottom and the middle layer had a plain weave structure woven with a cotton weft. Proceeding from our earlier explorations’ findings, we reduced the warp density for the middle layer to 4 yarns/cm while using 10/cm for the outermost layers. Each sample featured a unique set of materials for the outward-facing side of the top layer's double-faced weave. Among the materials were thick cotton yarn (a1 in the figure); loosely spun silk yarn and strips of leather (b1); and cotton string, fishing line, a mohair–silk blend, silk thread and strips of plastic (c1). These materials encompassed a wide array of visual and tactile patterning options. For all of them, we used a satin weave, pebble weave and plain weave, while we wove the inward-facing side (which employed a conductive weft) with a satin-weave technique.

4.5.1 Results.

This exploration proved successful: the double-faced weave allowed a whole host of materials with distinct properties to merge in the top layer's two sides. Adjusting the densities of individual weft systems supported improving the combined effect. More specifically, the adjustability of individual weft systems’ and warp systems’ densities let us readily incorporate weft materials of varying thicknesses: we could design distinct layers that were fairly independent from one another. The higher warp density of the outermost layers permitted structurally more versatile weaves and afforded us greater freedom to experiment with varying textures and materials—confirming our conclusions (in Section 4.2.2) about a denser warp's implications for textile design expression on the top surface.
Having an inward-facing conductive weft rendered the functional structure more robust and the conductive yarns less susceptible to effects of rubbing. Mutual sensory comparison of the samples’ crosscuts indicated that, irrespective of the uppermost layer's tactile and visual properties, there was no significant influence on the inner functional structure.
Our electrical measurements verified this impression. The samples behaved consistently, with the surface layer's weave pattern and yarn material having little effect on the results. The signals leaving the samples were 2.5% of the input signal's level, rising to 2.8% when the external mass was placed at the measurement junction (see Figure 12, pane c). When all influences, including differences in materials and in the positioning of the external mass, are taken into account, the signal values for each respective sample lie less than 1 pp from the uninfluenced signal.

4.5.2 Discussion.

For woven e-textiles’ versatile functionality but also for rich aesthetic opportunities, the ability to design the two sides of a double-faced weave independently is highly desirable: each side could have its own electrical and/or sensory characteristics. We were successful in this regard and could free the fabric's top and bottom surfaces to express weave-pattern and weft-material variations. Our solution contributes to user comfort, aesthetics and durability in applications for interactive clothing, for example. Furthermore, we observed that our broad spectrum of surface-layer materials and weaves displayed only a minor influence on the functional structures deeper in the structure. That implies untapped potential for textile-based interaction. When constructed in the manner described above, the fabric can keep the sensing elements for its touch-based interfaces internal to the woven structure while aesthetic properties are designed autonomously.

4.6 Varying the Intermediate-Layer Materials (Exploration 6)

The previous exploration shed light on potential for altering woven e-textiles’ surface characteristics by varying the weft-yarn materials. Exploration 6 built on that insight by investigating material variations in relation to the embedded functional structures instead. We directed our attention to the electrical behaviour of the orthogonal sensing matrix, with special regard to how the choice of weft materials in the middle layer can alter it.
We fabricated a sample using a grid structure identical to that in Exploration 5 (depicted in Figure 12) and the same loom setup but replaced the middle layer's cotton weft with piezoresistive yarn. We wove the inner layer in strips of piezoresistive EeonTex conductive fabric and non-conductive fill yarn, both approx. 2 mm wide. The piezoresistive materials were aligned vertically to match the arrangement of the conductive weft lines in the top layer. Because the EeonTex strips were considerably thicker than the weft yarns used in the top and bottom layers, we had to adjust the warp and weft densities of all three layers, reducing both in the middle layer (without influencing its overall tightness). The EeonTex weft ended up with half the density of the other layers’ weft systems. Correspondingly, the sample's warp density was reduced also, to four yarns per centimetre in the middle layer, while the outermost layers had 10/cm (A4 in Figure 13 provides details).
Fig. 13.
Fig. 13. The sample woven for Exploration 6.

4.6.1 Results.

As the previous exploration's success with a sensing-matrix structure of this general sort might suggest, we expected that a similar solution might be possible for the middle layer. Exploration 6 confirmed its buildability. The inner functional structure could be modified without the material selection or weave-pattern design for the outer layers being affected. When we adjusted the weft densities to factor in the differing weft-yarn thicknesses, the layers could be designed reasonably independently from one another.
As the nature of the material's pressure-sensitive conduction suggests, the measurements with the external mass were very different from those without it when we used piezoresistive material in the middle layer. The signal value obtained at the measurement junction was 11% of the input level (pane c in Figure 12 depicts the measurement setup) when no mass influenced the textile. When the mass was placed directly at the measurement junction, the signal value rose sharply to 91%. This change was significantly greater than the mass-free condition's and around 260 times larger than the change when cotton was used. With the mass placed at neighbouring junctions, away from the measurement junction, the value was 9%–12%, depending on the mass's exact position.

4.6.2 Discussion.

The possibility of combining layers of different materials implies that one can change the functional structure and its electrical behaviour without influencing the look and feel of the outermost layers, and vice versa. This implies that varying the material and/or the weave structure need not affect the weaving setup. Another advantage for woven e-textiles’ production is that these variations can optimise the sensing range of touch- and pressure-sensitive functional weaves for specific use cases. For example, the capacitive and piezoresistive sensors used in explorations 5 and 6 differ immensely in their measurement ranges, indicating that the middle material can be selected in line with the electrical responses required.

4.7 Weaving for Location-Specific Functionality (Exploration 7)

Spurred on by our success in creating a double-faced surface layer, we explored adding electrically receptive patterned areas of various shapes to a woven textile via Jacquard weaving. This introduced a challenge associated with varying the number of warp and weft systems in order to weave specific portions of the textile. While weft-patterning techniques permit using multiple weft systems in limited locations easily, their use is typically confined to the fabric's surface. Even e-textile literature devoted to functional inner structures offers no guidance as to their applicability below the surface. We set out to understand how weft-patterning for limited portions of a textile's internal layers might contribute to multi-layer structures.
Our efforts focused on embedding a piezoresistive pressure sensor—one of the location-specific sensing elements most typical of woven e-textiles [e.g., 67, 16, 89]—within a linked multi-layer weave structure. To reach our goal, we wove a linked three-layer structure within an otherwise single-layered double-faced satin-weave base fabric. This marks a divergence from the double-weave method proposed in prior work [16, 89]: rather than use a piezoresistive sheet simply inserted in a pocket, we created a middle layer woven with the same piezoresistive EeonTex stripes used in the previous exploration.
The central portion of Figure 14 (panes c and d) presents a schematic diagram of this sensing element.
Fig. 14.
Fig. 14. Exploration 7's samples for functional elements.
We wove the double-faced base fabric with a dark grey wool–viscose blend facing the top surface and a light grey linen–polyamide blend facing the bottom surface. The double-faced weave functioned to increase the base textile's number of weft systems to 2, with the yarns to be divided into separate layers for the locations of the sensing elements. Employing two complementary weft sets gave us a solid foundation for constructing two of the layers (the base structure had to be expanded to three layers, woven with seven weft systems and three warp systems in all). The yarn arrangement is presented in Figure 15.
Fig. 15.
Fig. 15. The weft and warp systems used in sample X7-A.
In our samples, the weft systems of the base fabric were divided into top and bottom layers, facing the outermost surfaces (see Figure 15's items 1 and 2 plus portions C and E of Figure 14). These systems served to create visual and tactile characteristics suitable for pressure sensors in the fabric. The two weft systems differed in material and in colour. In the first sample (a1 in Figure 14) they faced the same surface throughout the weave, thereby producing a visually subtle outcome, while the weft systems in the second sample (b1) swapped sides, enabling use of a visually distinct functional element.
We built in additional weft systems by employing two further weaving techniques: fil coupé and inlay. With the inlay method, for the first sample we wove five additional weft systems into a single, unified sensing element within the textile (see Figure 14, a1–a3). One weft system was reserved for the piezoresistive layer (3 in Figure 15), while we used two others to construct the conductive areas for the inward-facing surfaces of the outermost layers (see Figure 15, 4 and 5). Finally, two sets of woollen weft yarns (6 and 7) were woven along the conductive weft to intersect with the middle layer, thus connecting the layers and supplying a supporting structure for the inner surfaces. With the second sample, we fabricated two similarly constructed sensor elements, situated in parallel on the base fabric and used fil coupé rather than inlay; therefore, all the additional weft sets floated on top of the base fabric, separating the two sensor areas, to be cut after weaving (see Figure 14, g and h).
In sum, with this arrangement we sought to create a fabric appropriate for e-textiles that react to touch in only specific regions, where relevant shapes could communicate these regions’ affordances to the user in visual and tactile terms.

4.7.1 Results.

In the final exploration, our structurally advanced experimentation demonstrated the suitability of both weft-patterning techniques (fil coupé and inlay) for increasing the layering locally within a woven e-textile. These techniques increased the number of individual weft systems available, and adding conductive and piezoresistive weft yarns enabled us to limit electrical functionality to specific areas of a textile. Importantly, the incorporation of the further weft systems notwithstanding, the one-layer base fabric's weft density – and, consequently, its appearance and texture—remained consistent throughout the textile. Whereas the overall weft density in earlier explorations was influenced primarily by the natural settling of the yarns during weaving, Exploration 7 spotlighted the ability to control additional layers’ and weft systems’ density at base-fabric level. This opportunity is elaborated upon in Section 5.2.1.
When comparing the samples’ crosscuts and unravelling their warp and weft yarns, we found that the main differences between the two techniques lay in how they influenced the resulting structure's stability. In inlay, using an additional weft to form a single conductive inner surface for one multi-layer element culminated in a tight structure. With fil coupé, in contrast, the cutting divided the continuous conductive weft into shorter segments. This made it more prone to movement effects and less resistant to abrasion; however, we observed that the base textile's double-faced weave and its two weft systems’ division (to face both outer surfaces of the multi-layer areas) allowed for the construction of fully sealed functional weaves. Since the conductive yarns were facing inward, as the yarn arrangement presented in Figure 14 (b4 and g–h) attests, they became enveloped within the textile. The conductive yarn segments were not directly exposed to stress from outside and remained secure within the structure.
Visual inspection of the crosscuts revealed that, while cutting the fil coupé floats left the conductive weft-yarn fragments unconnected, the conductive warp aided in forming a mesh of connected conductive weft and warp yarns. We recommend, then, that any use of fil coupé for forming conductive areas should be accompanied by conductive warp yarns intertwining with the weft.
Electrical measurements showed responses that were similar to those produced by the previous exploration's sample X6-A but stronger. When measured with the multimeter and a 100 kHz signal, the samples resembled normal piezoresistive sensors, and the textile reacted strongly to external forces. For example, the resting-state value from X7-A was 48% of the input signal and adding the mass brought the level to 87% of the input signal. Two factors affected the samples’ electrical response—the surface area of the piezoresistive material and the compression caused by the woven structure itself: Mutual comparison of all piezoresistive samples from the explorations indicated that the size of the pressure-sensitive area (and hence the amount of piezoresistive material) influences the reactive behaviour's strength. Secondly, multimeter measurements (from the final samples and some earlier-iteration versions, with denser weave patterns) showed that shorter weft floats caused the piezoresistive weft material to compress somewhat, thus reducing the sensing structure's sensitivity (cf. Parzer et al. [77]). In addition, interconnecting the layers transmits compressive force to the middle layer.

4.7.2 Discussion.

Jacquard weaving and weft-patterning proved suitable for localising complex functional structures to specific regions within wider textile areas while sealing the functional materials inside the textile. Jacquard weaving possesses particular potential for creating figurative elements: because Jacquard looms are widely used in the textile industry, the ability to support functional weaves of any size and shape within the limits of the loom setup is especially advantageous. This exploration's findings should be readily extendable to commercial textile manufacture.
The final exploration suggests that functional elements buried in the textile can be designed either to blend into the base fabric or be visually and texturally distinguishable from the surrounding area. Another critical finding is that the size of the piezoresistive sensor influences its measurement range. The shapes and motifs of any figurative sensor elements that have to operate within a specific measurement range must be designed to take this into consideration. There are ample opportunities for research into preferable sizes, shapes and motifs, whereby practitioners could refer to a library of figurative pressure-sensitive structures with a predefined value range, for easy application in interactive Jacquard graphics design. Design of the figurative motifs could benefit also from usability heuristics addressing how given visual cues might inform interaction with touch-sensitive interfaces. Section 5.2.2. expands on the implications of these findings for the tactile domain.
Finally, we acknowledge that Exploration 7 considered three-layer sensor structures only. While aware that this is not the highest layer count feasible for localised sensors, we should point out the challenge of managing additional weft systems as their number grows. To address such caveats and potential limitations, future studies should examine practical implementation of higher layer counts in woven e-textile sensor structures.

5 General Discussion

We began our exploratory investigation by musing on the uncharted applicability of multi-layer weave structures in e-textile research. That set the course for a project examining how multi-layer structures familiar from woven textiles’ design and production can serve e-textile prototyping for HCI purposes. Having chronicled this successful practice-based investigation, we can now discuss the key findings from our exploratory weaving, after which we reflect on their practical implications for e-textiles in the HCI field. Then, we examine where the journey can still take us, by pointing to directions for further research.

5.1 Composite Level: Interweaving Materials and Layers for the Desired Electrical Properties

Figure 16 captures the explorations’ two-pronged approach to e-textile design: considering the composite level (layered structure) and the layout level (localised positions) both. E-textile literature dealing with the former typically attends to structures/constructions that combine fabric materials, conductive fibres and electrical components [103]. When introducing weaving to the e-textile domain, one can understand the multi-layer composite level as an architecture of three or more layers, all of which contribute to the electrical behaviour of the textile's functional weave. On this level, yarn densities, material combinations and weave patterns (which may span or differ between layers) all merit attention. Importantly, so do their interdependencies when multiple layers come together.
Fig. 16.
Fig. 16. Higher to lower levels of analysis: the textile, location-oriented composition and layer-to-layer weave layout.
Throughout the exploration process, we experimented with three interlinked factors that are decisive for the electrical and sensory (tactile and visual) properties of a woven multi-layer e-textile composite—namely, the number of yarn systems constituting the textile, those systems’ arrangement within the weave structure with respect to each other, and the materials (or combinations thereof) chosen for each yarn system. Among the most fundamental aspects of those factors’ interplay is the yarn systems’ densities, particularly how they scale when new yarn systems and materials with different properties enter the mix. We observed in explorations 1 and 2 that, in the absence of adjustment, warp and weft systems’ densities scale differently with the number of layers: additional weft systems raise the total weft-yarn count, but splitting the warp's yarns across layers decreases the warp density in each separate system. Explorations 3, 5 and 6, in turn, showed that the yarn densities can be adjusted in a manner that supports aims such as arranging distinct layers’ yarn setup somewhat independently from the rest of the structure. Accordingly, weft systems can contain different materials/material combinations, even coping with yarns of quite different thicknesses.
These discoveries illuminated ways to optimise layer structures and material choices purpose-specifically. A higher weft and warp density, yarns of high twist density and possibly other mechanisms could be used to increase the textile surface's durability [38], protecting the layers that are more susceptible to wear. To compensate for inner layers’ less dense warp, inner layers can rely on thicker weft yarns for insulation. In addition, as the final exploration demonstrated, designers can express different characteristics for each surface of the same layer by exploiting a double-faced weave, wherein using two separate weft systems forms a two-sided fabric. This supports e-textiles with an aesthetically pleasing outer surface and an inner layer that houses the electrically active materials.
Although we based nearly all of our samples on a plain weave, e-textile construction does not require such simplification. The structures can vary layer by layer, affording, for example, more voluminous and porous weaves for the inner layers (in this application, waffle weaves, being inherently 3D for reason of their yarn-float alignment, could support pressure-sensitive structures very well [54]). A higher-volume insulating structure sandwiched in the middle could function to increase the distance between conductive layers, thereby influencing a capacitor structure's sensitivity. Corresponding weaves also permit a more elastic structure, which may offer benefits for passive haptic feedback in textile-based push-buttons [33]. The material choice can augment tactility, with materials that differ in their elastic properties (e.g., stiff fishing line and porous wool yarn) supporting the haptic properties desired for the textile. In one example, constructing the middle layer from electrically resistive yarns might offer an alternative to using piezoresistive materials to detect pressure. Additionally, to tailor the electrical behaviour for specific use cases, one can adjust the arrangement of conductive yarns within and across layers [57].
Another key reflection is that the general multi-layer structure is dictated largely by the warp resources available for distribution over the layers—a factor that is often set in stone by the loom setup. For our study, we used a Jacquard loom with a 30 yarn/cm warp density for constructing samples with five or more layers. With dobby looms, each layer requires two shafts at minimum; since these looms typically have no more than 24 shafts [107], using more layers limits the weave variations available for each layer considerably. Furthermore, having a sparse warp decreases layer-specific stability and requires thicker warp yarns. Less drapable outcomes are bound to follow. That said, many options remain for exploration. Firstly, our study used only one warp beam, whereas two would permit using a supplementary warp and possibly create opportunities for additional material variations. Instead of replacing warp yarns with conductive materials that are otherwise similar physically, one could utilise a supplementary warp to include materials with alternative physical properties, even varying the thicknesses and elasticities. This represents a path forward for woven stretch sensors (an approach already tentatively explored with elastic weft yarns and strain-sensing yarn [55]) and stretchable signal paths [34]. Another interesting direction involves multiple warp beams’ use to form pleated structures [25]. Combining such mechanisms with double-faced weaves and double-cloth structures or with structures on the textile's surface opens further possibilities for volume-rich sensor structures also.
The considerations above highlight that the designer is served well by regarding the separate layers as an architecture of yarns and the fibres they constitute. This calls for understanding woven e-textiles as hierarchical material systems [88].

5.2 Layout Level: Realising Volume-, Area- and Circuit-Specific Behaviour

At layout level, in turn, the architecture and circuitry of electrically functional composites are considered in terms of the volumes in, and regions on, the fabric. Building on Explorations 4–7 in particular, wherein we studied how different regions can be furnished with different electrical capabilities, we argue that the pivotal design consideration on the layout level is related to the individual composites’ locations and placement within given sections of the textile. We found that one of the main enablers for this task is the location-specific use of supplementary yarns (examined in Exploration 7) alongside the possibility of switching yarn systems’ locations between layers (considered in Exploration 4). On this level, the design space of woven-textile weave planning ties in with interaction and interface design. Here, several intriguing opportunities for circuit integration and tactile interaction present themselves.

5.2.1 Circuit-Layout Integration.

Exploration 7 showed that additional yarn systems can implement electrical or sensory features for individual areas or sides of a textile to construct location-specific functional elements. The inlay technique affords fully sealing away these inner elements and protecting them against abrasion. Meanwhile, the findings from Exploration 4 suggest that yarn systems can be designed also to interleave or switch order across layers and that, in additional shifting, specific yarns connected to functional areas can be led from inner layers to the surface and vice versa in the course of weaving.
These findings point to suitability for creating signalling structures and for connecting functional elements via conductive yarn systems. Demonstrating the practicality of integrating various woven-in components [90] opens exciting possibilities for real-world use of multi-layer structures, extending as far as fully woven circuits for fabric. We envision full-fledged woven e-textile systems as networks of woven sensors and enveloped components interconnected by means of conductive weft and warp lines that cross through the single-layered base fabric. That perspective facilitates holistic design of system-level circuitry [42, 63], force sensors [15] and integrated flexible filament circuits [50] all within the same woven e-textile. Attending to composite- and layout-level design in parallel can enable realising these structures in such forms as systems whose internal layer comprises non-linked pockets with the desired electrical connections for embedded hardware components, situated between the surrounding layers’ stable, durable linked structures. This is represented in portion 2 of Figure 17. Simultaneously, electrical signalling may be passed to designated locations at the textile's surface for interaction sensing purposes, as shown in portion 1 of the figure. In addition, surface signalling can serve to connect rigid printed circuit boards [58] or components and power sources [2] to the circuit. While some work on woven e-textiles has looked into mechanisms for interconnecting hard components and soft conductive textile materials [41, 56], their deployment within the inner layers requires further study.
Fig. 17.
Fig. 17. Synthesis of the levels—woven multi-layer textiles as a platform for embedding complex circuit topologies in the textile's structure.
In pointing to the value of our findings at composite and layout level, we wish to stress the importance of considering the two levels mutually in e-textile design. Firstly, designing them together facilitates a predictable woven structure as a solid environment for circuit integration in end applications. Since the density of a single-layer base fabric hinges on the weave structure and the weft-yarn thickness (as Exploration 7 clarified), practitioners must account for the density effects of their weave-pattern and material choices, which have knock-on effects on the electrical behaviour of the multi-layer composite. Likewise, designers adopting a broader perspective could take full advantage of the numerous options for the surrounding single-layer weave structure's construction to regulate the electrical performance of functional weaves. Further research in this area is clearly warranted.
Secondly, any interactive functional properties integrated into a textile substrate need to be created during the weaving. Since they cannot be embedded later on, production requires designing the circuit layout via weaving patterns. For example, the layout for wearable applications’ functional elements must be designed in conjunction with the sewing patterns for the final garment. This is entirely within the realm of possibility.

5.2.2 Tactile Interaction.

Explorations 5–7 attest that the surface characteristics and the electrically functional structures can be designed relatively independently. Ways of conveying the garment's interactive areas to the user can exploit this advantage. For visual patterns (stripes, shapes, texture variations created by the yarn types and weave patterns and so forth) consistent with the pattern of the embedded sensor arrangement, designers can choose weave patterns and materials for the surface that communicate messages about possible interaction, such as pushing or sliding gestures (3 and 4 in Figure 17). Reciprocally, the sensor structure may be designed explicitly to detect the intended forms of interaction. For example, the pressure-sensor structure proposed in Exploration 7 can be made to protrude from the fabric's surface by merging with 3D woven relief patterns [109] to afford pressing. A hairy tuft texture or long mohair fibres extending from the surface can act as an affordance for sliding gestures [26], in conjunction with an inner structure containing a capacitive grid [87] or slider [112] capable of detecting users’ gestures. These scenarios exemplify how a solid understanding of material, weave and pattern choices’ combined influence (e.g., on gestural interaction) permits designing the surface and the internal structures together.
Design principles and conventions for woven-textile-based interfaces are still in their infancy. The first steps toward a coherent gesture language and visual cues for e-textile interaction have been made, though [64]. By presenting our findings related to the versatility of multi-layer structures and surface patterning, we are taking the initiative to increase designers’ awareness of the opportunities and constraints as they design those interactions.
Developing tactile interfaces also calls for considering the experiential qualities of textile materials. Interfaces and applications anchored in day-to-day life [87] become coupled with the wearer's personal style and expression of identity [23, 24]. Hence, they call for discreet integration and ‘textileness’ [17]. Also, tactile experiences with textiles naturally evoke affective and emotional responses, associations and preferences [113, 114]. Therefore, designing a textile's look and feel for positive emotional responses requires not only knowledge of materials’ physical properties but also keen awareness of the psychological dimension of tactile perception [5]. The multi-layer weaving patterns presented in this paper free the interactive fabric's surface for expressive design—letting practitioners focus on materials, textures, colour combinations and figurative patterns that elicit positive responses. This freedom is essential for designing meaningful ways of interacting with technology through e-textile interfaces.

5.3 Limitations and Paths for Future Research

The intention behind our study was to concretise the possibilities for research and development at the intersection of HCI e-textile work and woven-textile design through understanding from both domains. However, the body of woven-textile knowledge, gathered over thousands of years, is enormous. We readily acknowledge that our seven explorations offer only a tiny glimpse at what those traditions could bring the e-textile practitioners of the digital era. The outcomes from our exploratory weaving project could not encompass the rich tapestry of possibilities for complex woven structures’ application. For instance, we see multiple opportunities for enriching woven-circuit design through textile-form thinking [61], which could open paths to embedding interface layouts in fully woven 3D objects.
Secondly, the woven samples presented in this paper consist of early-phase prototypes constructed on handlooms. While using tangible samples let us evaluate the textiles’ physical properties and multiple parameters that affect them (such as how layer-count changes alter tactility), this approach requires advanced weaving skills, understanding of electric-circuit design and copious time. For more accessible development of woven e-textiles, computer-aided design software could assist in navigating the complexities of the process. Promising foundations exist, thanks to recent research into 3D woven-textile simulation [39, 110] and parametric-design tools [18]. Design techniques of that nature can readily dovetail with the approach we recommend for achieving relative independence between layout and composite level. For researchers and production designers alike, this may open the gates to developing even highly complex e-textile systems.
We are aware that implementing the proposed multi-layer structures in contexts of woven e-textile development demands finely honed skills in textiles’ design and construction. This is one reason that researchers (especially in material science and electrical engineering) who introduce novel materials and flexible electronics suitable for weaving tend to rely on simple weaves [see 35, 77, 103]. We approached this obstacle by regarding multi-layered woven structures as environments for embedding e-textile systems. Our insight demonstrates how the outcomes of such research projects can be incorporated into complex woven-material systems. The starting points from our work could aid in ascertaining when expertise in textile design/construction is a prerequisite.
Because our aim was to explore fabrication methods for woven e-textiles in general, the project did not probe specific use cases. Accordingly, the electrical measurements took place in a stationary setting and treated electrical properties as passive qualities of the material. Real-world electrical behaviour necessitates attention beyond controlled environments, in possible contexts of use. Alongside general electrical behaviour, our proof-of-concept approach steered the analysis toward the samples’ fabric hand. We excluded such qualities as washability and abrasion-resistance from the scope of examination. Development geared directly for industrial manufacture of woven multi-layer e-textiles demands attention to these factors, however. Likewise, the structures must account for the requirements of industrial looms and processes. Grappling with these issues entails articulating several steps to address the product's durability, physical scaling and sizing, the usage environment and so forth, all of which, by influencing electrical responses, affect the overall behaviour of the e-textile. Controlled assessment techniques such as Wyzenbeek or Martindale abrasion-testing [9] and washability tests [105] could contribute to standardising a best-practice process.
As is abundantly clear from the scale of our project's artefacts, multi-layer woven textiles for HCI are not yet mature enough for well-established pathways toward commercialisation. However, product development for simple woven circuits already offers a stepping-stone from traditional electronics, and our samples demonstrate the possibility of designing and managing smaller, more independently functional parts that contribute to full functional layers. These pave the way to decisive practical advances.

Acknowledgement

We also thank Ramyah Gowrishankar and the anonymous reviewers for their insightful comments, which have enriched our contribution.

Footnote

1
The notion refers to textiles’ perceived quality when assessed through the sense of touch [108].

References

[1]
Shilpi Akter and Sutapa Chowdhury. 2018. The construction principle of double cloth and its properties. Trends in Textile Engineering & Fashion Technology 4, 4 (Nov. 2018), 10. DOI:
[2]
S. K. Bahadir, V. Koncar, and F. Kalaoglu. 2016. Smart shirt for obstacle avoidance for visually impaired persons. In Smart Textiles and Their Applications. Vladan Koncar (Ed.), Woodhead Publishing, Oxford, UK, 33–70. DOI:
[3]
Linlin Bai and Jiu Zhou. 2019. Double-faced shading effect based on two wefts full-backed structure for traditional weft-backed woven fabrics. International Journal of Clothing Science and Technology 32, 2 (Jan. 2019), 231–243. DOI:
[4]
Ilze Balgale and Ilze Baltina. 2020. Woven textile pressure switch. Key Engineering Materials 850 (Ju. 2020), 297–302. DOI:
[5]
Rashmita Bardalai and Jenny Underwood. 2022. SensAE – A tool to explore material–touch–emotions. Journal of Textile Design Research and Practice 10, 2 (May 2022), 141–163. DOI:
[6]
Joanna Berzowska, Alex Mommersteeg, Laura Isabel Rosero Grueso, Eric Ducray, Michael Patrick Rabo, and Geneviève Moisan. 2019. Baby Tango: Electronic textile toys for full-body interaction. In Proceedings of the 13th International Conference on Tangible, Embedded, and Embodied Interaction (TEI ’19). ACM, New York, NY, 437–442. DOI:
[7]
Elizabeth Esther Bigger and Luis Edgardo Fraguada. 2016. Programmable plaid: The search for seamless integration in fashion and technology. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct (UbiComp ’16). ACM, New York, NY, 464–469. DOI:
[8]
D. P. Bishop. 1996. Fabrics: Sensory and Mechanical Properties. Vol. 26. Taylor & Francis.
[9]
Kelly M. Bogan, Abdel-Fattah M. Seyam, and Jeremiah Slade. 2019. Evaluation of the electrical integrity of E-textiles subjected to abrasion. Journal of Textile and Apparel, Technology and Management 11, 1 (May 2019), 1–13.
[10]
F. Boussu, I. Cristian, and S. Nauman. 2015. General definition of 3D warp interlock fabric architecture. Composites Part B: Engineering 81 (2015), 171–188. DOI:
[11]
Alice Buso, Holly McQuillan, Milou Voorwinden, and Elvin Karana. 2023. Weaving textile-form interfaces: A material-driven design journey. In Proceedings of the ACM Designing Interactive Systems Conference (DIS ’23). ACM, New York, NY, 608–622. DOI:
[12]
Jie Chen, Hengyu Guo, Xianjie Pu, Xue Wang, Yi Xi, and Chenguo Hu. 2018. Traditional weaving craft for one-piece self-charging power textile for wearable electronics. Nano Energy 50 (Aug. 2018), 536–543. DOI:
[13]
J. S. Davis and P. E. Wells. 1963. Investigation of a woven screen memory system. In Proceedings of the November 12-14, 1963, Fall Joint Computer Conference (AFIPS ’63 (Fall)). ACM, New York, NY, 311–326. DOI:
[14]
Laura Devendorf, Katya Arquilla, Sandra Wirtanen, Allison Anderson, and Steven Frost. 2020. Craftspeople as technical collaborators: Lessons learned through an experimental weaving residency. In Proceedings of the Conference on Human Factors in Computing Systems (CHI ’20). ACM, New York, NY, 1–13. DOI:
[15]
Laura Devendorf, Sasha de Koninck, and Etta Sandry. 2022. An introduction to weave structure for HCI: A how-to and reflection on modes of exchange. In Proceedings of the ACM Designing Interactive Systems Conference (DIS ’22). ACM, New York, NY, 629–642. DOI:
[16]
Laura Devendorf and Chad Di Lauro. 2019. Adapting double weaving and yarn plying techniques for smart textiles applications. In Proceedings of the 13th International Conference on Tangible, Embedded, and Embodied Interaction (TEI ’19). ACM, New York, NY, 77–85. DOI:
[17]
Laura Devendorf, Joanne Lo, Noura Howell, Jung Lin Lee, Nan-Wei Gong, M. Emre Karagozler, Shiho Fukuhara, Ivan Poupyrev, Eric Paulos, and Kimiko Ryokai. 2016. “I don’t want to wear a screen”: Probing perceptions of and possibilities for dynamic displays on clothing. In Proceedings of the Conference on Human Factors in Computing Systems (CHI ’16). ACM, New York, NY, 6028–6039. DOI:
[18]
Laura Devendorf, Kathryn Walters, Marianne Fairbanks, Etta Sandry, and Emma R. Goodwill. 2023. AdaCAD: Parametric design as a new form of notation for complex weaving. In Proceedings of the Conference on Human Factors in Computing Systems (CHI ’23). ACM, New York, NY, Article 127, 18 pages. DOI:
[19]
V. A. Dhandhania. 2018. Multi-layer fabric using conductive yarn for connection of electronic devices. Colourage 65, 2 (2018), 41–45.
[20]
Lucy E. Dunne, Kaila Bibeau, Lucie Mulligan, Ashton Frith, and Cory Simon. 2012. Multi-layer E-textile circuits. In Proceedings of the ACM Conference on Ubiquitous Computing (UbiComp ’12). ACM, New York, NY, 649–650. DOI:
[21]
Irene Emery. 2009. The Primary Structures of Fabrics: An Illustrated Classification (2nd. ed.). Thames & Hudson.
[22]
Yu Enokibori, Akihisa Suzuki, Hirotaka Mizuno, Yuuki Shimakami, and Kenji Mase. 2013. E-textile pressure sensor based on conductive fiber and its structure. In Proceedings of the ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication (UbiComp ’13 Adjunct). ACM, New York, NY, 207–210. DOI:
[23]
Felix Anand Epp. 2023. Augmenting Appearance with Wearable Technology - Open-Ended Practices-Oriented Design for Adornment and Identity as Routes to Adoption. Ph.D. Dissertation. Aalto University. School of Science.
[24]
Felix Anand Epp, Anna Kantosalo, Nehal Jain, Andrés Lucero, and Elisa D. Mekler. 2022. Adorned in memes: Exploring the adoption of social wearables in nordic student culture. In Proceedings of the Conference on Human Factors in Computing Systems (CHI ’22). ACM, New York, NY, Article 364, 18 pages. DOI:
[25]
Siw Eriksson, Lena Berglin, Emanuel Gunnarsson, Li Guo, Hanna Lindholm, and Leif Sandsjö. 2011. Three-dimensional multilayer fabric structures for interactive textiles. In Proceedings of the 3rd Conference in 3D Textiles and Their Applications. Wohan, China.
[26]
Anna Flagg and Karon MacLean. 2013. Affective touch gesture recognition for a furry zoomorphic machine. In Proceedings of the 7th International Conference on Tangible, Embedded and Embodied Interaction (TEI ’13). ACM, New York, NY, 25–32. DOI:
[27]
Christopher Frayling. 1993. Research in art and design. Royal College of Art Research Papers 1 (1993), 1–5.
[28]
Mikhaila Friske, Shanel Wu, and Laura Devendorf. 2019. AdaCAD: Crafting software for smart textiles design. In Proceedings of the Conference on Human Factors in Computing Systems (CHI ’19). ACM, New York, NY, 1–13. DOI:
[29]
William Gaver, Peter Gall Krogh, Andy Boucher, and David Chatting. 2022. Emergence as a feature of practice-based design research. In Proceedings of the ACM Designing Interactive Systems Conference (DIS ’22). ACM, New York, NY, 517–526. DOI:
[30]
Sabine Gimpel, Uwe Mohring, Hardy Muller, Andreas Neudeck, and Wolfgang Scheibner. 2004. Textile-based electronic substrate technology. Journal of Industrial Textiles 33, 3 (Jan. 2004), 179–189. DOI:
[31]
Zidan Gong, Ziyang Xiang, Xia OuYang, Jun Zhang, Newman Lau, Jie Zhou, and Chi Chiu Chan. 2019. Wearable fiber optic technology based on smart textile: A review. Materials 12, 20 (2019), 3311. DOI:
[32]
C. Gopalsamy, S. Park, R. Rajamanickam, and S. Jayaraman. 1999. The wearable motherboard: The first generation of adaptive and responsive textile structures (ARTS) for medical applications. Virtual Reality 4, 3 (Sep. 1999), 152–168. DOI:
[33]
Maas Goudswaard, Abel Abraham, Bruna Goveia da Rocha, Kristina Andersen, and Rong-Hao Liang. 2020. FabriClick: Interweaving pushbuttons into fabrics using 3D printing and digital embroidery. In Proceedings of the ACM Designing Interactive Systems Conference (DIS ’20). ACM, New York, NY, 379–393. DOI:
[34]
Benjamin J. Grena, Didio V. Gomes, Joshua A. Hoover, Seul Bi Kim, David M. Kindlon, Kevin T. Pham, Daniel A. Podhajny, Robert J. Rose, Andrew L. Rosenberg, and Miikka O. Tikander. 2023. Stretchable signal path structures for electronic devices. US Patent No. US-11821115-B2, Filed Aug. 4th., 2020, Issued Nov. 21th., 2023, U.S. Patent and Trademark Office.
[35]
Carter S. Haines, Na Li, Geoffrey M. Spinks, Ali E. Aliev, Jiangtao Di, and Ray H. Baughman. 2016. New twist on artificial muscles. Proceedings of the National Academy of Sciences 113, 42 (Oct. 2016), 11709–11716. DOI:
[36]
Nur Al-huda Hamdan, Simon Voelker, and Jan Borchers. 2018. Sketch & stitch: Interactive embroidery for E-textiles. In Proceedings of the Conference on Human Factors in Computing Systems (CHI ’18). ACM, New York, NY, 1–13. DOI:
[37]
Dorothy Hardy, Katherine Townsend, Matholo Kgatuke, Eloise Salter, Tina Downes, Karen Harrigan, Susan Allcock, and Tilak Dias. 2019. Light my elbows: A cycling jacket incorporating electronic yarn. In Textile Intersections Conference Proceedings. Loughborough University, London, England, United Kingdom. DOI:
[38]
Pramod Kumar Hari. 2020. Types and properties of fibres and yarns used in weaving. In Woven Textiles (2nd. ed.). K. L. Gandhi (Ed.), Woodhead Publishing, 3–34. DOI:
[39]
Claire Harvey, Emily Holtzman, Joy Ko, Brooks Hagan, Rundong Wu, Steve Marschner, and David Kessler. 2019. Weaving objects: Spatial design and functionality of 3D-woven textiles. In Proceedings of the ACM SIGGRAPH 2019 Art Gallery (SIGGRAPH ’19). ACM, New York, NY, Article 5, 8 pages. DOI:
[40]
Sunao Hashimoto, Ryohei Suzuki, Youichi Kamiyama, Masahiko Inami, and Takeo Igarashi. 2013. LightCloth: Senseable illuminating optical fiber cloth for creating interactive surfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’13). ACM, New York, NY, 603–606. DOI:
[41]
Kunpeng Huang, Md. Tahmidul Islam Molla, Kat Roberts, Pin-Sung Ku, Aditi Galada, and Cindy Hsin-Liu Kao. 2021. Delocalizing strain in interconnected joints of on-skin interfaces. In Proceedings of the ACM International Symposium on Wearable Computers (ISWC ’21). ACM, New York, NY, 91–96. DOI:
[42]
Kunpeng Huang, Ruojia Sun, Ximeng Zhang, Md. Tahmidul Islam Molla, Margaret Dunne, Francois Guimbretiere, and Cindy Hsin-Liu Kao. 2021. WovenProbe: Probing possibilities for weaving fully-integrated on-skin systems deployable in the field. In Proceedings of the ACM Designing Interactive Systems Conference (DIS ’21). ACM, New York, NY, 1143–1158. DOI:
[43]
Michael G. Huson. 2018. Properties of wool. In Handbook of Properties of Textile and Technical Fibres (2nd. ed.). Anthony R. Bunsell (Ed.), Woodhead Publishing, 59–103. DOI:
[44]
M. Amirul ’Amir’ Islam. 2020. 3D woven fabrics, structures, and methods of manufacture. In Woven Textiles (2nd ed.). K.L. Gandhi (Ed.), Woodhead Publishing, 329–391. DOI:
[45]
Frances Joseph, Miranda Smitheram, Donna Cleveland, Caroline Stephen, and Hollee Fisher. 2017. Digital materiality, embodied practices and fashionable interactions in the design of soft wearable technologies. International Journal of Design 11, 3 (Dec. 2017), 7–15.
[46]
Hatice Kübra Kaynak and Mehmet Topalbekiroğlu. 2008. Influence of fabric pattern on the abrasion resistance property of woven fabrics. Fibres & Textiles in Eastern Europe 16, 1 (2008), 54–56.
[47]
Ken Ri Kim. 2014. A Study on Structural Optimisation and Colour Mixing Systems of Digital Jacquard Textile Based on Full-Colour Compound Structure. Ph.D. Dissertation. Hong Kong Polytechnic University.
[48]
Ken Ri Kim and Thomas Peter Triebs. 2020. Weave structure development to improve the current design capability for double cloth fabrication via digital jacquard weaving. Journal of Textile Design Research and Practice 10, 1 (Nov. 2020), 59–77. DOI:
[49]
Thomas Kinkeldei, Christoph Zysset, Kunigunde Cherenack, and Gerhard Troester. 2009. Development and evaluation of temperature sensors for textile integration. In SENSORS, 2009 IEEE, 1580–1583. DOI:
[50]
Abiodun Komolafe, Russel Torah, Yang Wei, Helga Nunes-Matos, Menglong Li, Dorothy Hardy, Tilak Dias, Michael Tudor, and Stephen Beeby. 2019. Integrating flexible filament circuits for E-textile applications. Advanced Materials Technologies 4, 7 (2019), 1900176. DOI:
[51]
Peter Gall Krogh and Ilpo Koskinen. 2020. Drifting by Intention: Four Epistemic Traditions from within Constructive Design Research. Springer International Publishing, Cham. DOI:
[52]
Pin-Sung Ku, Kunpeng Huang, and Cindy Hsin-Liu Kao. 2022. Patch-O: Deformable woven patches for on-body actuation. In Proceedings of the Conference on Human Factors in Computing Systems (CHI ’22). ACM, New York, NY, Article 615, 12 pages. DOI:
[53]
Marion Lean. 2020. Materialising Data Experience through Textile Thinking. Ph.D. Dissertation. Royal College of Art.
[54]
Siming Li, Ruiqing Li, Tianjiao Chen, and Xueliang Xiao. 2020. Highly sensitive and flexible capacitive pressure sensor enhanced by weaving of pyramidal concavities staggered in honeycomb matrix. IEEE Sensors Journal 20, 23 (Dec. 2020), 14436–14443. DOI:
[55]
Xiaoting Li, Haibo Hu, Tao Hua, Bingang Xu, and Shouxiang Jiang. 2018. Wearable strain sensing textile based on one-dimensional stretchable and weavable yarn sensors. Nano Research 11 (Mar. 2018), 795–801. DOI:
[56]
I. Locher and G. Troster. 2007. Fundamental building blocks for circuits on textiles. IEEE Transactions on Advanced Packaging 30, 3 (Aug. 2007), 541–550. DOI:
[57]
Jingting Ma, Emmi Pouta, Ramyah Gowrishankar, and Yu Xiao. 2023. Woven variables – Investigating the influence of conductive float arrangements on the performance of woven piezoresistive pressure sensors. In Proceedings of the Textile Intersections Conference. Tincuta Heinzel, Delia Dumitrescu, Oscar Tomico, and Sara Robertson (Eds.), London, United Kingdom, 1–16. DOI:
[58]
Kenneth Mackenzie, Eric Hudson, Drew Maule, Sundaresan Jayaraman, and Sungmee Park. 2001. A prototype network embedded in textile fabric. In Proceedings of the International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES ’01). ACM, New York, NY, 188–194. DOI:
[59]
H. Maeda and A. Matsushita. 1965. Woven thin-film wire memories. IEEE Transactions on Magnetics 1, 1 (Mar. 1965), 13–17. DOI:
[60]
D. Marculescu, R. Marculescu, N.H. Zamora, P. Stanley-Marbell, P. K. Khosla, S. Park, S. Jayaraman, S. Jung, C. Lauterbach, W. Weber, T. Kirstein, D. Cottet, J. Grzyb, G. Troster, M. Jones, T. Martin, and Z. Nakad. 2003. Electronic textiles: A platform for pervasive computing. Proceedings of the IEEE 91, 12 (Dec. 2003), 1995–2018. DOI:
[61]
Holly McQuillan 2020. Zero Waste Systems Thinking: Multimorphic Textile-Forms. Ph.D. Dissertation. Högskolan i Borås.
[62]
Jussi Mikkonen and Emmi Pouta. 2015. Weaving electronic circuit into two-layer fabric. In Adjunct Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers (UbiComp/ISWC ’15 Adjunct). ACM, New York, NY, 245–248. DOI:
[63]
Jussi Mikkonen and Emmi Pouta. 2016. Flexible wire-component for weaving electronic textiles. In Proceedings of the IEEE 66th Electronic Components and Technology Conference (ECTC ’16), 1656–1663. DOI:
[64]
Sara Mlakar, Mira Alida Haberfellner, Hans-Christian Jetter, and Michael Haller. 2021. Exploring affordances of surface gestures on textile user interfaces. In Proceedings of the ACM Designing Interactive Systems Conference (DIS ’21). ACM, New York, NY, 1159–1170. DOI:
[65]
Sara Mlakar and Michael Haller. 2020. Design investigation of embroidered interactive elements on non-wearable textile interfaces. In Proceedings of the Conference on Human Factors in Computing Systems (CHI ’20). ACM, New York, NY, 1–10. DOI:
[66]
Md. Tahmidul Islam Molla, Steven Goodman, Nicholas Schleif, Mary Ellen Berglund, Cade Zacharias, Crystal Compton, and Lucy E. Dunne. 2017. Surface-mount manufacturing for E-textile circuits. In Proceedings of the ACM International Symposium on Wearable Computers (ISWC ’17). ACM, New York, NY, 18–25. DOI:
[67]
Dena Molnar. 2011. Pressure Sensors. Retrieved from http://www.denamolnar.com/textiles/pressure-sensors/
[68]
Myontec. 2021. Wearable Technology. Retrieved from https://www.myontec.com
[69]
Harry Nisbet. 1919. Grammar of Textile Design (2nd. ed.). Scott, Greenwood & son. DOI:
[70]
Jifei Ou, Daniel Oran, Don Derek Haddad, Joseph Paradiso, and Hiroshi Ishii. 2019. SensorKnit: Architecting textile sensors with machine knitting. 3D Printing and Additive Manufacturing 6, 1 (Mar. 2019), 1–11. DOI:
[71]
Tiina Paavilainen. 2015. Floating and Clipping – Woven Textiles with Weft Floats and Finishings by Clipping. Master's thesis. Aalto University. Retrieved from https://aaltodoc.aalto.fi:443/handle/123456789/19878
[72]
R. Paradiso, G. Loriga, and N. Taccini. 2005. A wearable health care system based on knitted integrated sensors. IEEE Transactions on Information Technology in Biomedicine 9, 3 (Sep. 2005), 337–344. DOI:
[73]
Sungmee Park. 2019. Textiles as a Meta-Wearable: Studies on Textiles as an Information Infrastructure. Ph.D. Dissertation. Georgia Institute of Technology.
[74]
Inese Parkova. 2014. Woven light emitting display. Materials Science: Textile and Clothing Technology 8, 8 (Feb. 2014), 60–64. DOI:
[75]
Inese Parkova. 2014. Woven textile moisture sensor for enuresis alarm treatment. Key Engineering Materials 604 (2014), 146–149. DOI:
[76]
Inese Parkova, Ivars Parkovs, and Ausma Vilumsone. 2015. Light-emitting textile display with floats for electronics covering. International Journal of Clothing Science and Technology 27, 1 (Jan. 2015), 34–46. DOI:
[77]
Patrick Parzer, Florian Perteneder, Kathrin Probst, Christian Rendl, Joanne Leong, Sarah Schuetz, Anita Vogl, Reinhard Schwoediauer, Martin Kaltenbrunner, Siegfried Bauer, and Michael Haller. 2018. RESi: A highly flexible, pressure-sensitive, imperceptible textile interface based on resistive yarns. In Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology (UIST ’18). ACM, New York, NY, 745–756. DOI:
[78]
Hannah Perner-Wilson and Mika Satomi. 2012. Involving the Machines. Retrieved from https://www.kobakant.at/?p=432
[79]
Hannah Perner-Wilson and Mika Satomi. 2016. Heat Fabric. Retrieved from https://www.kobakant.at/DIY/?p=6011
[80]
Rachel Philpott and Faith Kane. 2017. ’Textile thinking’: A flexible, connective strategy for concept generation and problem solving in interdisciplinary contexts. In Craftwork as Problem Solving. Routledge, 235–256.
[81]
Liesbeth van Pieterson, Piet Bouten, Koen Kriege, and Rabin Bhattacharya. 2010. Robust fabric substrates for photonic textile applications. Research Journal of Textile and Apparel 14, 4 (Jan. 2010), 54–62. DOI:
[82]
A. Piper. 2019. Material Relationships: The Textile and the Garment, the Maker and the Machine. Developing a Composite Pattern Weaving System. Ph.D. Dissertation. Nottingham Trent University.
[83]
Daniel A. Podhajny, Kathryn P. Crews, and Daniel D. Sunshine. 2022. Fabric Sensing Device. US patent no. US-20220107695-A1, Filed Dec. 17th., 2021, Issued May 23th., 2023, U.S. Patent and Trademark Office.
[84]
Irene Posch. 2020. Burglar alarm: More than 100 years of smart textiles. In Companion Publication of the ACM Designing Interactive Systems Conference (DIS ’20 Companion). ACM, New York, NY, 473–476. DOI:
[85]
E. R. Post and M. Orth. 1997. Smart fabric, or “wearable clothing”. In Digest of Papers. First International Symposium on Wearable Computers, 167–168. DOI:
[86]
E. R. Post, M. Orth, P. R. Russo, and N. Gershenfeld. 2000. E-broidery: Design and fabrication of textile-based computing. IBM Systems Journal 39, 3–4 (2000), 840–860. DOI:
[87]
Ivan Poupyrev, Nan-Wei Gong, Shiho Fukuhara, Mustafa Emre Karagozler, Carsten Schwesig, and Karen E. Robinson. 2016. Project jacquard: Interactive digital textiles at scale. In Proceedings of the Conference on Human Factors in Computing Systems (CHI ’16). ACM, New York, NY, 4216–4227. DOI:
[88]
Emmi Pouta. 2023. Layered Approaches – Woven eTextile Explorations Through Applied Textile Thinking. Ph.D. Dissertation. Aalto University. School of Arts, Design and Architecture.
[89]
Emmi Pouta and Jussi Mikkonen. 2019. Hand puppet as means for etextile synthesis. In Proceedings of the 13th International Conference on Tangible, Embedded, and Embodied Interaction (TEI ’19). ACM, New York, NY, 415–421. DOI:
[90]
Emmi Pouta and Jussi Ville Mikkonen. 2022. Woven eTextiles in HCI — A literature review. In Designing Interactive Systems Conference (DIS ’22). ACM, New York, NY, 1099–1118. DOI:
[91]
M. M. Quirk, T. L. Martin, and M. T. Jones. 2009. Inclusion of fabric properties in the E-textile design process. In Proceedings of the International Symposium on Wearable Computers, 37–40. DOI:
[92]
K. V. Rakhin, P. S. Onkar, and J. Hayavadana. 2022. Understanding the role of perceptual haptic conditions on design decision. In Proceedings of the Design Society, Vol. 2. Cambridge University Press, 2193–2202. DOI:
[93]
Michael Rein, Valentine Dominique Favrod, Chong Hou, Tural Khudiyev, Alexander Stolyarov, Jason Cox, Chia-Chun Chung, Chhea Chhav, Marty Ellis, John Joannopoulos, and Yoel Fink. 2018. Diode fibres for fabric-based optical communications. Nature 560, 7717 (Aug. 2018), 214–218. DOI:
[94]
Maarit Salolainen. 2022. Interwoven: Exploring Materials and Structures. Aalto ARTS Books.
[95]
Donald A. Schön. 1983. The Reflective Practitioner: How Professionals Think in Action. Basic Books.
[96]
E. Shim. 2019. Coating and laminating processes and techniques for textiles. In Smart Textile Coatings and Laminates (2nd. Ed.). William C. Smith (Ed.), Woodhead Publishing, 11–45. DOI:
[97]
Vildan Sülar and Ayşe Okur. 2007. Sensory evaluation methods for tactile properties of fabrics. Journal of Sensory Studies 22, 1 (2007), 1–16. DOI:
[98]
Ruojia Sun, Ryosuke Onose, Margaret Dunne, Andrea Ling, Amanda Denham, and Hsin-Liu (Cindy) Kao. 2020. Weaving a second skin: Exploring opportunities for crafting on-skin interfaces through weaving. In Proceedings of the ACM Designing Interactive Systems Conference (DIS ’20). ACM, New York, NY, 365–377. DOI:
[99]
Daniel D. Sunshine, Paul S. Drzaic, Daniel A. Podhajny, David M. Kindlon, Hoon Sik Kim, Kathryn P. Crews, and Yung-Yu Hsu. 2021. Fabric-based items with electrical component arrays. US Patent No. US-11183459-B2, Filed July 7th., 2020, Issued Nov. 23rd., 2021, U.S. Patent and Trademark Office.
[100]
Melkie Getnet Tadesse, Carmen Loghin, Ionuț Dulgheriu, and Emil Loghin. 2021. Comfort evaluation of wearable functional textiles. Materials 14, 21 (Oct. 2021), 6466. DOI:
[101]
Riikka Townsend and Jussi Mikkonen. 2017. Signals as material: From knitting sensors to sensory knits. In Alive. Active. Adaptive: International Conference on Experiential Knowledge and Emerging Materials (EKSIG ’17). Elvin Karana, Elisa Giaccardi, Nithikul Nimkulrat, Kristina Niedderer, and Serena Camere (Eds.), TU Delft Open, Rotterdam, Netherlands, 338–358.
[102]
R. Ueoka, A. Masuda, T. Murakami, and M. Hirose. 2009. RFID textile and map making system for large area positioning. In Proceedings of the International Symposium on Wearable Computers, 41–44.
[103]
Matija Varga, Niko Munzenrieder, Christian Vogt, and Gerhard Troster. 2015. Programmable E-textile composite circuit. In Proceedings of the IEEE 65th Electronic Components and Technology Conference (ECTC ’15). IEEE, San Diego, CA, 678–684. DOI:
[104]
Priti Veja. 2014. An Investigation of Integrated Woven Electronic Textiles (E-textiles) Via Design Led Processes. Ph.D. Dissertation. Brunel University London, College of Engineering, Design and Physical Sciences. Retrieved from http://bura.brunel.ac.uk/handle/2438/10528
[105]
Paula Veske, Frederick Bossuyt, and Jan Vanfleteren. 2022. Testing for wearability and reliability of TPU lamination method in E-textiles. Sensors 22, 1 (Jan. 2022), 156. DOI:
[106]
Akira Wakita and Midori Shibutani. 2006. Mosaic textile: Wearable ambient display with non-emissive color-changing modules. In Proceedings of the ACM SIGCHI International Conference on Advances in Computer Entertainment Technology (ACE ’06). ACM, New York, NY, 48 - es. DOI:
[107]
J. Wilson. 2012. Woven structures and their characteristics. In Woven Textiles. K. L. Gandhi (Ed.), Woodhead Publishing, 163–204. DOI:
[108]
Geitel Winakor, Charles J. Kim, and Leroy Wolins. 1980. Fabric hand: Tactile sensory assessment. Textile Research Journal 50, 10 (Oct. 1980), 601–610. DOI:
[109]
Rundong Wu, Claire Harvey, Joy Xiaoji Zhang, Sean Kroszner, Brooks Hagan, and Steve Marschner. 2020. Automatic structure synthesis for 3D woven relief. ACM Transactions on Graphics 39, 4 (Aug. 2020), Article 102, 10 pages. DOI:
[110]
Rundong Wu, Joy Xiaoji Zhang, Jonathan Leaf, Xinru Hua, Ante Qu, Claire Harvey, Emily Holtzman, Joy Ko, Brooks Hagan, Doug James, François Guimbretière, and Steve Marschner. 2020c. Weavecraft: An interactive design and simulation tool for 3D weaving. ACM Transactions on Graphics 39, 6 (Nov. 2020), Article 210, 16 pages. DOI:
[111]
Shanel Wu and Laura Devendorf. 2020. Unfabricate: Designing smart textiles for disassembly. In Proceedings of the Conference on Human Factors in Computing Systems (CHI ’20). ACM, New York, NY, 1–14. DOI:
[112]
Tony Wu, Shiho Fukuhara, Nicholas Gillian, Kishore Sundara-Rajan, and Ivan Poupyrev. 2020. ZebraSense: A double-sided textile touch sensor for smart clothing. In Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology (UIST ’20). ACM, New York, NY, 662–674. DOI:
[113]
Jing Xue, Bruna Beatriz Petreca, Christopher Dawes, and Marianna Obrist. huhtikuu 19, 2023. FabTouch: A tool to enable communication and design of tactile and affective fabric experiences. In Proceedings of the Conference on Human Factors in Computing Systems (CHI ’23). ACM, New York, NY, 1–16. DOI:
[114]
Patrycja Zdziarska, Felix A. Epp, Walther Jensen, Mark D. Gross, and Ellen Yi-Luen Do. 2019. Hooze: A kinetic fashion accessory for touch and play. In Proceedings of the 13th International Conference on Tangible, Embedded, and Embodied Interaction (TEI ’19). ACM, New York, NY, 407–413. DOI:
[115]
Ru Quan Zhang, Jian Qiang Li, De Jun Li, and Jing Jing Xu. 2011. Study of the Structural Design and Capacitance Characteristics of Fabric Sensor. Advanced Materials Research 194–196 (2011), 1489–1495. https://doi.org/10.4028/www.scientific.net/AMR.194-196.1489
[116]
Bo Zhou and Paul Lukowicz. 2017. Textile pressure force mapping. In Smart Textiles. Stefan Schneegass and Oliver Amft (Eds.), Springer International Publishing, Cham, 31–47. DOI:
[117]
Jiu Zhou. 2008. Reinventing Jacquard Textile Design via the Deployment of Digitisation Technology towards Innovative Ends. Ph.D. Dissertation. Hong Kong Polytechnic University.
[118]
Yuman Zhou, Jianxin He, Hongbo Wang, Kun Qi, Nan Nan, Xiaolu You, Weili Shao, Lidan Wang, Bin Ding, and Shizhong Cui. 2017. Highly sensitive, self-powered and wearable electronic skin based on pressure-sensitive nanofiber woven fabric sensor. Scientific Reports 7 (Oct. 2017), 12949. DOI:

A Electrical Measurements

Each Lissajous figure is a loop representing sine waves passing through one textile sample. The loop indicates how the signal fed to the textile (on the x-axis) corresponds to the signal received from the textile (on the y-axis) at a given moment. Changes to the textile's electromechanical properties are reflected in the Lissajous figure, and a straight line represents a purely resistive textile. An oval shape captures the phase difference between the textile's input and output signal, representing capacitive or inductive properties accordingly. The attenuation of the signal is visible in the line or the loop tilting toward the horizontal axis. Any active characteristics deform the ellipsoid loop or straight line, as when the semiconductive properties result in an ‘s’ shape [101]. We investigated the amplitude and phase—Figure A1 depicts our measurement of these with a digital oscilloscope (Rigol DS1054Z) and a signal generator (Siglent SDG805)—along with the shape of the Lissajous figure.
Fig. A1.
Fig. A1. The measurement setup. Left: The textile measured over an earthed grid, where channel 1 of the oscilloscope is connected to the signal generator's sine-wave output and channel 2 measures the output between an earthed load resistor and the sample. Right: Weight setup in which a rubber-insulated manipulation grip holds a stainless-steel mass, which was manually placed at the centre of the sample's active area in each experiment.
For all samples, we conducted measurements both with and without an external mass, to understand corresponding textiles’ reaction to external forces (compression by the material of a garment worn over the top of the e-textile, folding of the fabric during use and so forth). The measurement without the mass served as a baseline. For the other measurement, we placed the mass at the centre of the sample's active region.
Using our standard signal and standard mass, we measured the samples’ response identically, one configuration at a time. To rule out thermal drift between successive measurements, we kept the oscilloscope and the signal generator turned on for at least one hour before measuring any values. All measurement was done on top of an earthed metal grid connected to an oscilloscope earth and isolated from the textiles by a thin plastic shield.

Index Terms

  1. Opportunities with Multi-Layer Weave Structures in Woven E-Textile Design

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Transactions on Computer-Human Interaction
    ACM Transactions on Computer-Human Interaction  Volume 31, Issue 5
    October 2024
    448 pages
    EISSN:1557-7325
    DOI:10.1145/3613690
    Issue’s Table of Contents
    This work is licensed under a Creative Commons Attribution International 4.0 License.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 10 November 2024
    Online AM: 20 August 2024
    Accepted: 05 July 2024
    Revised: 03 June 2024
    Received: 14 December 2022
    Published in TOCHI Volume 31, Issue 5

    Check for updates

    Author Tags

    1. e-textiles
    2. smart textiles
    3. weaving
    4. multi-layer structure

    Qualifiers

    • Research-article

    Funding Sources

    • Research Council of Finland
    • Finnish Cultural Foundation

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 500
      Total Downloads
    • Downloads (Last 12 months)500
    • Downloads (Last 6 weeks)358
    Reflects downloads up to 12 Dec 2024

    Other Metrics

    Citations

    View Options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Login options

    Full Access

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media