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!FTL, an Articulation-Invariant Stroke Gesture Recognizer with Controllable Position, Scale, and Rotation Invariances

Authors:

Jean Vanderdonckt,

Jorge Luis Pérez-MedinaAuthors Info & Claims

ICMI '18: Proceedings of the 20th ACM International Conference on Multimodal Interaction

Pages 125 - 134

https://doi.org/10.1145/3242969.3243032

Published: 02 October 2018 Publication History

Abstract

Nearest neighbor classifiers recognize stroke gestures by computing a (dis)similarity between a candidate gesture and a training set based on points, which may require normalization, resampling, and rotation to a reference before processing. To eliminate this expensive preprocessing, this paper introduces a vector-between-vectors recognition where a gesture is defined by a vector based on geometric algebra and performs recognition by computing a novel Local Shape Distance (LSD) between vectors. We mathematically prove the LSD position, scale, and rotation invariance, thus eliminating the preprocessing. To demonstrate the viability of this approach, we instantiate LSD for n=2 to compare !FTL, a 2D stroke-gesture recognizer with respect to $1 and $P, two state-of-the-art gesture recognizers, on a gesture set typically used for benchmarking. !FTL benefits from a recognition rate similar to $P, but a significant smaller execution time and a lower algorithmic complexity.

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Cited By

Calado ARoselli PGruppioni EMarinelli ABellingegni ABoccardo NSaggio G(2024)A geometric algebra-based approach for myoelectric pattern recognition control and faster prosthesis recalibrationExpert Systems with Applications: An International Journal10.1016/j.eswa.2024.124373254:COnline publication date: 18-Oct-2024
https://dl.acm.org/doi/10.1016/j.eswa.2024.124373
Maslych MTaranta EAldilati MLaviola J(2023)Effective 2D Stroke-based Gesture Augmentation for RNNsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581358(1-13)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581358
Costagliola GDe Rosa MFuccella V(2023)Gesture‐Based ComputingHandbook of Human‐Machine Systems10.1002/9781119863663.ch32(397-408)Online publication date: 7-Jul-2023
https://doi.org/10.1002/9781119863663.ch32
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Index Terms

!FTL, an Articulation-Invariant Stroke Gesture Recognizer with Controllable Position, Scale, and Rotation Invariances
1. Human-centered computing
  1. Human computer interaction (HCI)
  2. Ubiquitous and mobile computing
    1. Ubiquitous and mobile devices
      1. Smartphones
      2. Tablet computers
2. Theory of computation
  1. Design and analysis of algorithms
    1. Data structures design and analysis
      1. Pattern matching
  2. Randomness, geometry and discrete structures
    1. Computational geometry

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cover image ACM Other conferences

ICMI '18: Proceedings of the 20th ACM International Conference on Multimodal Interaction

October 2018

687 pages

ISBN:9781450356923

DOI:10.1145/3242969

General Chairs:
Sidney K. D'Mello
University of Illinois, USA
,
Panayiotis (Panos) Georgiou
University of Southern California, USA
,
Stefan Scherer
University of Southern California, USA
,
Program Chairs:
Emily Mower Provost
University of Michigan, USA
,
Mohammad Soleymani
University of Southern California, USA
,
Marcelo Worsley
Northwestern University, USA

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Published: 02 October 2018

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ICMI '18: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION

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ICMI '18 Paper Acceptance Rate 63 of 149 submissions, 42%;

Overall Acceptance Rate 453 of 1,080 submissions, 42%

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https://dl.acm.org/doi/10.1016/j.eswa.2024.124373
Maslych MTaranta EAldilati MLaviola J(2023)Effective 2D Stroke-based Gesture Augmentation for RNNsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581358(1-13)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581358
Costagliola GDe Rosa MFuccella V(2023)Gesture‐Based ComputingHandbook of Human‐Machine Systems10.1002/9781119863663.ch32(397-408)Online publication date: 7-Jul-2023
https://doi.org/10.1002/9781119863663.ch32
Campos CSandak JKljun MČopič Pucihar K(2022)The Hybrid Stylus: A Multi-Surface Active Stylus for Interacting with and Handwriting on Paper, Tabletop Display or BothSensors10.3390/s2218705822:18(7058)Online publication date: 18-Sep-2022
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Magrofuoco NRoselli PVanderdonckt J(2022)µV: An Articulation, Rotation, Scaling, and Translation Invariant (ARST) Multi-stroke Gesture RecognizerProceedings of the ACM on Human-Computer Interaction10.1145/35322006:EICS(1-25)Online publication date: 17-Jun-2022
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Taranta EMaslych MGhamandi RLaViola J(2022)The Voight-Kampff Machine for Automatic Custom Gesture Rejection Threshold SelectionProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502000(1-15)Online publication date: 29-Apr-2022
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Calado ARoselli PErrico VMagrofuoco NVanderdonckt JSaggio G(2022)A Geometric Model-Based Approach to Hand Gesture RecognitionIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2021.313858952:10(6151-6161)Online publication date: Oct-2022
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Ousmer MSluÿters AMagrofuoco NRoselli PVanderdonckt J(2022)A Systematic Procedure for Comparing Template-Based Gesture RecognizersHCI International 2022 - Late Breaking Papers. Multimodality in Advanced Interaction Environments10.1007/978-3-031-17618-0_13(160-179)Online publication date: 2-Oct-2022
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Ljubic SHržić FSalkanovic AŠtajduhar I(2021)Augmenting Around-Device Interaction by Geomagnetic Field Built-in Sensor UtilizationSensors10.3390/s2109308721:9(3087)Online publication date: 28-Apr-2021
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