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BLEselect: Gestural IoT Device Selection via Bluetooth Angle of Arrival Estimation from Smart Glasses

Authors:

Tengxiang Zhang,

Yiqiang ChenAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 6, Issue 4

Article No.: 198, Pages 1 - 28

https://doi.org/10.1145/3569482

Published: 11 January 2023 Publication History

Abstract

Spontaneous selection of IoT devices from the head-mounted device is key for user-centered pervasive interaction. BLEselect enables users to select an unmodified Bluetooth 5.1 compatible IoT device by nodding at, pointing at, or drawing a circle in the air around it. We designed a compact antenna array that fits on a pair of smart glasses to estimate the Angle of Arrival (AoA) of IoT and wrist-worn devices' advertising signals. We then developed a sensing pipeline that supports all three selection gestures with lightweight machine learning models, which are trained in real-time for both hand gestures. Extensive characterizations and evaluations show that our system is accurate, natural, low-power, and privacy-preserving. Despite the small effective size of the antenna array, our system achieves a higher than 90% selection accuracy within a 3 meters distance in front of the user. In a user study that mimics real-life usage cases, the overall selection accuracy is 96.7% for a diverse set of 22 participants in terms of age, technology savviness, and body structures.

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Cited By

Miyoshi TKoshino MNambo H(2025)Applying MLP-Mixer and gMLP to Human Activity RecognitionSensors10.3390/s2502031125:2(311)Online publication date: 7-Jan-2025
https://doi.org/10.3390/s25020311
Ferrara E(2024)Large Language Models for Wearable Sensor-Based Human Activity Recognition, Health Monitoring, and Behavioral Modeling: A Survey of Early Trends, Datasets, and ChallengesSensors10.3390/s2415504524:15(5045)Online publication date: 4-Aug-2024
https://doi.org/10.3390/s24155045
Syversen ADosis AJayne DZhang Z(2024)Wearable Sensors as a Preoperative Assessment Tool: A ReviewSensors10.3390/s2402048224:2(482)Online publication date: 12-Jan-2024
https://doi.org/10.3390/s24020482
Show More Cited By

Index Terms

BLEselect: Gestural IoT Device Selection via Bluetooth Angle of Arrival Estimation from Smart Glasses
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
  2. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 6, Issue 4

December 2022

1534 pages

EISSN:2474-9567

DOI:10.1145/3580286

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Copyright © 2023 Owner/Author.

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Published: 11 January 2023

Published in IMWUT Volume 6, Issue 4

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Cited By

Miyoshi TKoshino MNambo H(2025)Applying MLP-Mixer and gMLP to Human Activity RecognitionSensors10.3390/s2502031125:2(311)Online publication date: 7-Jan-2025
https://doi.org/10.3390/s25020311
Ferrara E(2024)Large Language Models for Wearable Sensor-Based Human Activity Recognition, Health Monitoring, and Behavioral Modeling: A Survey of Early Trends, Datasets, and ChallengesSensors10.3390/s2415504524:15(5045)Online publication date: 4-Aug-2024
https://doi.org/10.3390/s24155045
Syversen ADosis AJayne DZhang Z(2024)Wearable Sensors as a Preoperative Assessment Tool: A ReviewSensors10.3390/s2402048224:2(482)Online publication date: 12-Jan-2024
https://doi.org/10.3390/s24020482
Akter ALee M(2024)Unified Domain Adaptation for Specialized Indoor Scene Inpainting Using a Pre-Trained ModelElectronics10.3390/electronics1324497013:24(4970)Online publication date: 17-Dec-2024
https://doi.org/10.3390/electronics13244970
Chen YHu CKimura TLi QLiu SWu FChen G(2024)SemiCMT: Contrastive Cross-Modal Knowledge Transfer for IoT Sensing with Semi-Paired Multi-Modal SignalsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997798:4(1-30)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699779
Dai GXu HYoon HLi MTan RLee S(2024)ContrastSense: Domain-invariant Contrastive Learning for In-the-Wild Wearable SensingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997448:4(1-32)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699744
Miao SChen L(2024)GOAT: A Generalized Cross-Dataset Activity Recognition Framework with Natural Language SupervisionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997368:4(1-28)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699736
Abdelnasser HHeggo MPang OKovac MMcCann J(2024)RaDro: Indoor Drone Tracking Using Millimeter Wave RadarProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785498:3(1-23)Online publication date: 9-Sep-2024
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Zhou YKing TZhao HHuang YRiedel TBeigl MKostakos VKay JHoang T(2024)MLP-HAR: Boosting Performance and Efficiency of HAR Models on Edge Devices with Purely Fully Connected LayersProceedings of the 2024 ACM International Symposium on Wearable Computers10.1145/3675095.3676624(133-139)Online publication date: 5-Oct-2024
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Xu ZZhang JGreenberg JFrumkin MJaveed SZhang JBenedict BBotterbush KRodebaugh TRay WLu C(2024)Predicting Multi-dimensional Surgical Outcomes with Multi-modal Mobile SensingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596288:2(1-30)Online publication date: 15-May-2024
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