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

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

12 引用 (Scopus)

抜粋

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.

元の言語英語
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
出版物ステータス出版済み - 10 9 2007
外部発表Yes
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 20 20076 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
米国
Jacksonville, FL
期間6/20/076/23/07

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • これを引用

    Kiguchi, K. (2007). A study on EMG-based human motion prediction for power assist exoskeletons. : Proceedings of the 2007 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2007 (pp. 190-195). [4269917] (Proceedings of the 2007 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2007). https://doi.org/10.1109/CIRA.2007.382917