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2017 | OriginalPaper | Chapter

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

Authors : Enhao Zheng, Qining Wang, Hong Qiao

Published in: Intelligent Robotics and Applications

Publisher: Springer International Publishing

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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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Title: A Preliminary Study of Upper-Limb Motion Recognition with Noncontact Capacitive Sensing
Authors: Enhao Zheng
Qining Wang
Hong Qiao
Publisher: Springer International Publishing
Book: Intelligent Robotics and Applications
Print ISBN: 978-3-319-65288-7

Electronic ISBN: 978-3-319-65289-4

Copyright Year: 2017
DOI: https://doi.org/10.1007/978-3-319-65289-4_24

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