2C1-3 筋電信号による角速度生成法を用いた3Dハンドモデルの操作(OS2-1:筋電義手I,オーガナイズドセッション)

概要

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Myoelectric prosthetic hands, which are controlled by electromyogram (EMG) signals, have the good functionality and visual quality. In the past, we proved that motion discrimination method using conic models could discriminate three hand motions without the incorrect discriminations that the elbow motions cause. In this report, we propose an angular velocity generation method using multiple regression models. Because many prosthetic hands using motion discrimination have constant motion speed that can't be controlled. We verified these methods by controlling 3D hand model. In experiment, proposed method could discriminate five motions at a rate of above 90 percent without the incorrect discriminations that elbow motions cause. Moreover, wrist joint angle of 3D hand model could be controlled by standard variation of 3[deg] or less.
2009-09-23