A study on EMG-based human motion prediction for power assist exoskeletons

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

12 被引用数 (Scopus)

抄録

A power-assist exoskeleton robot, which is directly attached to the user's body and assist the motion in accordance with the user's intension, is one of the most effective human assist robots for the physically weak persons. Many studies on power-assist robots have been carried out to help the motion of physically weak persons such as disabled, injured, and/or elderly persons. EMG-based control (i.e., control based on the skin surface electromyogram (EMG) signals of the user) is one of the most effective control methods for the power-assist robots, since EMG signals of user's muscles directly reflect the user's motion intension. However, the EMG-based control is not easy to be realized because of many reasons. The paper presents an effective human motion prediction method from the EMG signals using a neuro-fuzzy technique for the control of power-assist exoskeleton robots.

本文言語英語
ホスト出版物のタイトルProceedings of the 2007 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2007
ページ190-195
ページ数6
DOI
出版ステータス出版済み - 10月 9 2007
外部発表はい
イベント2007 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2007 - Jacksonville, FL, 米国
継続期間: 6月 20 20076月 23 2007

出版物シリーズ

名前Proceedings of the 2007 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2007

その他

その他2007 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2007
国/地域米国
CityJacksonville, FL
Period6/20/076/23/07

!!!All Science Journal Classification (ASJC) codes

  • 人工知能
  • ソフトウェア
  • 制御およびシステム工学
  • 電子工学および電気工学

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