Design of Myoelectric Hand Control System

本研究旨在实现一种实用的基于较少最优电极位置估计和鲁棒运动识别的肌电手控制系统。其中一个重要的问题是高精度的运动识别，并提高对肌肉疲劳的鲁棒性。另一个问题是用统计方法求解较少的最优电极位置估计。通过实验验证了所提方法的有效性。

This study aims at realizing a useful myoelectric hand controlsystem based on the fewer optimal electrode position estimation and robust motiondiscrimination. One of the important problems is a high precision motion discriminationwith improved robustness against the muscle fatigue. The other problem is a fewer optimalelectrode position estimation solved by statistical approach. The effectiveness of theproposed methods was verified by some experiments.