Estimation of user's motion intention of hand based on both EMG and EEG signals

Kazuo Kiguchi, Yoshiaki Hayashi

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

抄録

A surface EMG signal is one of the most widely used signals as input signals for wearable robots. However, EMG signals are not always available to all users. On the other hand, an EEG signal has drawn attention as input signals for those robots in recent years. However, the EEG signal does not have straightforward relationships with the corresponding brain part. Therefore, it is more difficult to find the required signals for the control of the robot in accordance with the user's motion intention using the EEG signals compared with that using the EMG signals. In this paper, both the EMG and EEG signals are used to estimate the user's motion intention. The EMG signals are used as main input signals because the EMG signals have higher relative to the motion of a user. The EEG signals are used as sub signals in order to cover the estimation of the user's motion intention when all required EMG signals cannot be measured. The effectiveness of the proposed method has been evaluated by performing experiments.

本文言語英語
ホスト出版物のタイトルICINCO 2013 - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics
ページ447-452
ページ数6
出版ステータス出版済み - 12 3 2013
イベント10th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2013 - Reykjavik, アイスランド
継続期間: 7 29 20137 31 2013

出版物シリーズ

名前ICINCO 2013 - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics
2

その他

その他10th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2013
Countryアイスランド
CityReykjavik
Period7/29/137/31/13

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering

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