ウィルクスΛに基づいた判別分析による前腕部筋電位信号の最適測定位置推定

カテゴリ: 論文誌(論文単位)

グループ名: 【D】産業応用部門

発行日: 2012/03/01

タイトル(英語): Estimation of Optimal Measurement Position of Human Forearm EMG Signal by Discriminant Analysis Based on Wilks' lambda

著者名: 木曽　淳（千葉工業大学 工学部 電気電子情報工学科），谷口　悠（千葉工業大学 工学部 電気電子情報工学科），関　弘和（千葉工業大学 工学部 電気電子情報工学科）

著者名(英語): Atsushi Kiso (Department of Electrical, Electronics and Computer Engineering, Faculty of Engineering, Chiba Institute of Technology), Yu Taniguchi (Department of Electrical, Electronics and Computer Engineering, Faculty of Engineering, Chiba Institute of Technology), Hirokazu Seki (Department of Electrical, Electronics and Computer Engineering, Faculty of Engineering, Chiba Institute of Technology)

キーワード: 筋電位信号，最適測定位置，判別分析，ウィルクスΛ，前腕部動作識別　　myoelectric signal，optimal measurement position，discriminant analysis，wilks' lambda，human forearm motion discrimination

要約(英語): This paper describes the estimation of the optimal measurement position by discriminant analysis based on Wilks' lambda for myoelectric hand control. In previous studies, for motion discrimination, the myoelectric signals were measured at the same positions. However, the optimal measurement positions of the myoelectric signals for motion discrimination differ depending on the remaining muscles of amputees. Therefore, the purpose of this study is to estimate the optimal and fewer measurement positions for precise motion discrimination of a human forearm. This study proposes a method for estimating the optimal measurement positions by discriminant analysis based on Wilks' lambda, using the myoelectric signals measured at multiple positions. The results of some experiments on the myoelectric hand simulator show the effectiveness of the proposed optimal measurement position estimation method.

本誌: 電気学会論文誌D（産業応用部門誌） Vol.132 No.3 （2012） 特集：産業計測制御全般

本誌掲載ページ: 411-417 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejias/132/3/132_3_411/_article/-char/ja/