筋電位信号に基づく前腕部動作識別のためのトーラス型自己組織化マップの最適マッピング

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2011/08/01

タイトル(英語): Optimal Mapping of Torus Self-Organizing Map for Human Forearm Motions Discrimination on the Basis of Myoelectric Signals

著者名: 木曽　淳（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), 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，筋電義手，前腕部動作識別，トーラス型自己組織化マップ，最適化　　myoelectric signal，myoelectric hand，human forearm motion discrimination，Torus Self-Organizing Map，optimization

要約(英語): This paper describes an optimal mapping of the torus self-organizing map for a human forearm motion discrimination on the basis of the myoelectric signals. This study uses the torus self-organizing map (Torus-SOM) for the motion discrimination. The normal SOM identify input data into the same feature group by using the all units of map. Then there is a possibility of the misrecognition motion around the boundary lines of the motion groups. Therefore, this study proposes the mapping method of SOM that the learning units of the same motion concentrate on one local range and the learning unit groups of each motion separates enough. As a result, the variance in the same motion group becomes small and the variance between each motion groups becomes big. Some experiments on the myoelectric hand simulator show the effectiveness of the proposed motion discrimination method.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.131 No.8 （2011）

本誌掲載ページ: 1409-1415 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/ieejeiss/131/8/131_8_1409/_article/-char/ja/