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A wearable capacitive sensing system with phase-dependent classifier for locomotion mode recognition

  • Enhao Zheng
  • , Baojun Chen
  • , Qining Wang
  • , Kunlin Wei
  • , Long Wang
  • Peking University

科研成果: 书/报告/会议事项章节会议稿件同行评审

6 引用 (Scopus)

摘要

Locomotion mode recognition is one of the most important aspects for the control of motion rehabilitation systems, e.g. lower-limb prostheses and exoskeletons. In this paper, we propose a capacitance based sensing system for recognizing human locomotion modes. The proposed system includes two rings as sensing front-ends of body capacitance, two sensing circuits for processing the signals and the gait event detection system. The deformation of muscles can be reflected by the changes of capacitance signals. To validate the developed prototype, nine locomotion modes are monitored and ten channels of capacitance signals are collected for locomotion mode recognition. With the combination of capacitive sensing approach and phase-dependent classification method, satisfactory recognition results are obtained.

源语言英语
主期刊名2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012
1747-1752
页数6
DOI
出版状态已出版 - 2012
已对外发布
活动2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012 - Rome, 意大利
期限: 24 6月 201227 6月 2012

出版系列

姓名Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics
ISSN(印刷版)2155-1774

会议

会议2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012
国家/地区意大利
Rome
时期24/06/1227/06/12

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