筋振動を用いた腕部動作判別のための計測数の検討

抄録

The number of upper limb amputees in today's society is on the rise due to the increased incidence of diseases caused by longer life expectancy and the increased survival rate from work-related injuries caused by improved medical technology. The number of prosthetic limb amputees is also increasing. Our research is aimed at improving motion estimation and simplifying the associated training to use a motorized prosthetic hand. In this study, we developed a system to identify hand motions using machine learning and verified the number of data required for calibration.