A Study on A Method for Detecting a Sense of Assist Mismatch Using EEG During Ankle Joint Movement

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

抄録

In recent years, research and development of human assist robots have been actively carried out in order to support the independent lives of persons with impaired motor function. Although assisting the user's activity according to the user's motion intention is important for the human assist robots, it is difficult to objectively determine in real time whether the assisted motion by the robot is exactly same as the intended motion by the user. In this paper, a method to objectively detect a user's sense of assist mismatch using EEG signals is investigated. Experiments were conducted to analyze the user's brain activities during the ankle joint movement with the assist of intended and unintended motion. The experimental results show that there are differences in the theta wave activities around the central area of the head and alpha wave activities around the central sulcus when assist mismatch occurs. These results suggest that a user's sense of mismatch can be detected with the proposed method.

本文言語英語
ホスト出版物のタイトル2023 IEEE/SICE International Symposium on System Integration, SII 2023
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9798350398687
DOI
出版ステータス出版済み - 2023
イベント2023 IEEE/SICE International Symposium on System Integration, SII 2023 - Atlanta, 米国
継続期間: 1月 17 20231月 20 2023

出版物シリーズ

名前2023 IEEE/SICE International Symposium on System Integration, SII 2023

会議

会議2023 IEEE/SICE International Symposium on System Integration, SII 2023
国/地域米国
CityAtlanta
Period1/17/231/20/23

!!!All Science Journal Classification (ASJC) codes

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • 計算力学
  • 制御と最適化
  • モデリングとシミュレーション
  • 外科
  • 器械工学

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