2P1-H13 義手の運動制御のための生体信号からの手指関節角度推定 : 表面筋電信号と針筋電信号を中心とした信号源の違いによる処理方法の検討(生体信号&ロボティクス・メカトロニクス)

概要

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This study aims to control a mioelectric hand motion using neural signal. Consequently, we consider to establish a method estimated finger joint angle from biosignal. We have previously proposed a finger joint angle estimation method based on surface Electromyography (EMG) signal and a linear model. This method is based on the histogram of signals, it may have applicability to not only surface EMG signals but also neural signals. Therefore, this paper carried out finger joint angle estimation experiment using both surface EMG signals and needle EMG signals that are similar to neural signals. Here, we report on the difference of estimation results using both signals.
一般社団法人日本機械学会の論文
2011-05-26