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Demo: SolarSense: A Self-powered Ubiquitous Gesture Recognition System for Industrial Human-Computer Interaction

Published: 04 June 2024 Publication History

Abstract

SolarSense is a self-powered sensing system for gesture recognition using solar cell arrays, thereby offering a sustainable approach to human-computer interaction (HCI) within industrial settings. The system effectively employed the sensing and energy harvesting capabilities of solar cells, achieving over 97.0% accuracy in recognizing diverse gestures. The design incorporates a low-power wireless data acquisition chip, a signal processing framework, and a user interface to realize robotic control and text input applications. SolarSense enhances HCI with its eco-friendly and user-centric approach, which is suitable for Internet of things (IoT) scenarios. Demo: https://youtu.be/RmPolChw_c4.

References

[1]
Lingchen Chen, Feng Wang, Hui Deng, and Kaifan Ji. 2013. A survey on hand gesture recognition. In 2013 International conference on computer sciences and applications. IEEE, 313--316.
[2]
Jiarong Li, Changshuo Ge, Jun Tao, Jingyang Wang, Xiaomin Xu, Xinlei Chen, Weihua Gui, Xiaojun Liang, and Wenbo Ding. 2023. SolareSkin: Self-powered Visible Light Sensing Through a Solar Cell E-Skin. In Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing. 664--669.
[3]
Jiarong Li, Changsheng Wu, Ishara Dharmasena, Xiaoyue Ni, Zihan Wang, Haixu Shen, Shao-Lun Huang, and Wenbo Ding. 2020. Triboelectric nanogenerators enabled internet of things: A survey. Intelligent and Converged Networks 1, 2 (2020), 115--141.
[4]
Jiarong Li, Zixuan Xie, Zihan Wang, Zenan Lin, Chengyue Lu, Zihao Zhao, Yuchao Jin, Jihong Yin, Shilong Mu, and Chaobo Zhang. 2023. A triboelectric gait sensor system for human activity recognition and user identification. Nano Energy 112 (2023), 108473.
[5]
Mirco Moencks, Elisa Roth, Thomas Bohné, and Per Ola Kristensson. 2022. Humancomputer interaction in industry: a systematic review on the applicability and value-added of operator assistance systems. Foundations and Trends in Human-Computer Interaction 16, 2-3 (2022), 65--213.

Cited By

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  • (2024)Dynamic Hover Gesture Classification using Photovoltaic Sensor and Machine LearningProceedings of the 2024 8th International Conference on Advances in Artificial Intelligence10.1145/3704137.3704160(268-275)Online publication date: 17-Oct-2024
  • (2024)VLocSense: Integrated VLC System for Indoor Passive Localization and Human SensingProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3694729(2022-2027)Online publication date: 4-Dec-2024
  • (2024)PhD Forum Abstract: Ubiquitous Sensing System for Activity and Gesture Recognition via Optical and Energy-Harvesting Technologies2024 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)10.1109/IPSN61024.2024.00062(323-324)Online publication date: 13-May-2024

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  1. Demo: SolarSense: A Self-powered Ubiquitous Gesture Recognition System for Industrial Human-Computer Interaction

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    Published In

    cover image ACM Conferences
    MOBISYS '24: Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services
    June 2024
    778 pages
    ISBN:9798400705816
    DOI:10.1145/3643832
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

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    New York, NY, United States

    Publication History

    Published: 04 June 2024

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    Author Tags

    1. visible light sensing
    2. gesture recognition
    3. energy harvesting
    4. humancomputer interaction

    Qualifiers

    • Demonstration

    Funding Sources

    • Shenzhen Ubiquitous Data Enabling Key Lab
    • Guangdong Innovative and Entrepreneurial Research Team Program
    • Major Key Project of Peng Cheng Laboratory
    • National Natural Science Foundation of China
    • Shenzhen Science and Technology Program
    • Tsinghua Shenzhen International Graduate School-Shenzhen Pengrui Young Faculty Program of the Shenzhen Pengrui Foundation

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    MOBISYS '24
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    Overall Acceptance Rate 274 of 1,679 submissions, 16%

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    Cited By

    View all
    • (2024)Dynamic Hover Gesture Classification using Photovoltaic Sensor and Machine LearningProceedings of the 2024 8th International Conference on Advances in Artificial Intelligence10.1145/3704137.3704160(268-275)Online publication date: 17-Oct-2024
    • (2024)VLocSense: Integrated VLC System for Indoor Passive Localization and Human SensingProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3694729(2022-2027)Online publication date: 4-Dec-2024
    • (2024)PhD Forum Abstract: Ubiquitous Sensing System for Activity and Gesture Recognition via Optical and Energy-Harvesting Technologies2024 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)10.1109/IPSN61024.2024.00062(323-324)Online publication date: 13-May-2024

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