EMG-based neuro-fuzzy control of a 4DOF upper-limb power-assist exoskeleton.

Kazuo Kiguchi, Yasunobu Imada, Manoj Liyanage

研究成果: Contribution to journalArticle査読

抄録

We have been developing a 4DOF exoskeleton robot system in order to assist shoulder vertical motion, shoulder horizontal motion, elbow motion, and forearm motion of physically weak persons such as elderly, injured, or disabled persons. The robot is directly attached to a user's body and activated based on EMG (Electromyogram) signals of the user's muscles, since the EMG signals directly reflect the user's motion intention. A neuro-fuzzy controller has been applied to control the exoskeleton robot system. In this paper, controller adaptation method to user's EMG signals is proposed. A motion indicator is introduced to indicate the motion intention of the user for the controller adaptation. The experimental results show the effectiveness of the proposed method.

本文言語英語
ページ(範囲)3040-3043
ページ数4
ジャーナルAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
出版ステータス出版済み - 2007
外部発表はい

All Science Journal Classification (ASJC) codes

  • コンピュータ ビジョンおよびパターン認識
  • 信号処理
  • 生体医工学
  • 健康情報学

フィンガープリント

「EMG-based neuro-fuzzy control of a 4DOF upper-limb power-assist exoskeleton.」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル