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A Current-Based Surface Electromyography (sEMG) System for Human Motion Recognition: Preliminary Study

  • CAS - Institute of Automation
  • School of Information Engineering
  • Peking University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

The myoelectric interface acts as an important role in the field of wearable robotics. This study explores the current-based sEMG technology for upper-limb motion recognition. Different from the voltage-based sEMG system, the current-based sampling approach can directly extract the current signals and be free from the cross talks. The technology facilitate the myoelectric sampling in a non-ideal environment such as underwater. We designed the sensing circuit with a feedback-loop current amplification module, and analyzed the stability. After development of the system, three healthy subjects participated in the experiment. Six basic wrist joint motions were investigated. With the selected feature set and the designed classification method, The average recognition accuracies across the subjects were 96.3%, 94.2%, and 95.8% respectively. The preliminary results demonstrate that the current-based sEMG technology is a promising solution to upper-limb motion recognition in a rigorous environment.

源语言英语
主期刊名Intelligent Robotics and Applications - 14th International Conference, ICIRA 2021, Proceedings
编辑Xin-Jun Liu, Zhenguo Nie, Jingjun Yu, Fugui Xie, Rui Song
出版商Springer Science and Business Media Deutschland GmbH
页737-747
页数11
ISBN(印刷版)9783030890940
DOI
出版状态已出版 - 2021
已对外发布是
活动14th International Conference on Intelligent Robotics and Applications, ICIRA 2021 - Yantai, 中国
期限: 22 10月 2021 → 25 10月 2021

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷13013 LNAI
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议14th International Conference on Intelligent Robotics and Applications, ICIRA 2021
国家/地区中国
市Yantai
时期22/10/21 → 25/10/21

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