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A Preliminary Study of Upper-Limb Motion Recognition with Noncontact Capacitive Sensing

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Intelligent Robotics and Applications (ICIRA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10462))

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Abstract

This study explores the noncontact capacitive sensing strategy on upper-limb motion recognition. The noncontact capacitive sensing system for upper limb comprises a sensing front-end, a sensing circuit and a graphic user interface. The sensing front-end is designed with the thermoplastic band which is surrounded on the forearm. Different from the capacitive sensing methods in previous works for lower limbs, the system in this study measure the muscle contractions without strong physical interaction to the environment. After development of the system, one healthy subjects participated in the experiment. Eight forearm motions, including six basic wrist joint motions and two gestures were investigated. With the selected feature set and the designed classification method, the capacitive sensing strategy produced over 99% recognition accuracy for the eight-motion recognition. The preliminary results demonstrate that the noncontact capacitive sensing approach is a promising solution to the upper-limb motion recognition.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (NO. 91648207).

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Authors and Affiliations

  1. The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China

    Enhao Zheng & Hong Qiao

  2. The Robotics Research Group, College of Engineering, Peking University, Beijing, 100871, China

    Qining Wang

  3. CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, 200031, China

    Hong Qiao

  4. University of Chinese Academy of Sciences, Beijing, 100049, China

    Hong Qiao

Authors
  1. Enhao Zheng
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  2. Qining Wang
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  3. Hong Qiao
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Corresponding author

Correspondence to Enhao Zheng .

Editor information

Editors and Affiliations

  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    YongAn Huang

  2. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Hao Wu

  3. Institute of Industrial Research, University of Portsmouth, Portsmouth, United Kingdom

    Honghai Liu

  4. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Zhouping Yin

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Zheng, E., Wang, Q., Qiao, H. (2017). A Preliminary Study of Upper-Limb Motion Recognition with Noncontact Capacitive Sensing. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds) Intelligent Robotics and Applications. ICIRA 2017. Lecture Notes in Computer Science(), vol 10462. Springer, Cham. https://doi.org/10.1007/978-3-319-65289-4_24

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  • DOI: https://doi.org/10.1007/978-3-319-65289-4_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65288-7

  • Online ISBN: 978-3-319-65289-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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