複数動作の識別における人の学習戦略（人・機械相互学習を用いた足制御型電動車いすの事例）

概要

論文の詳細を見る
Learning is essential for human being. In this article, we analyzed the human learning strategy in the multi-movement discrimination by learning machine. Especially, the leg movements' discrimination using Self Organizing Mapping was taken as an example. Firstly, based on the experiment by ten healthy subjects, learning strategies were divided into two strategies; Convergence strategy (improving the repeatability of each movement) and Independence strategy (conducting different movements). Secondly, a child with severe impairment conducted similar experiments. He selected Convergence strategy and his index values to evaluate the degree of convergence and independence of his leg's movements were quite similar with healthy subjects' value. The generality of Convergence and Independence strategies was suggested in multi-movement discrimination task.