ロボティクス・メカトロニクス講演会講演概要集
Online ISSN : 2424-3124
セッションID: 1P1-G04
会議情報
1P1-G04 多チャネル電極とSVMを用いた手の動作認識システム(非接触センシング)
二股 大央永田 健太郎山田 雅史曲谷 一成
著者情報
会議録・要旨集 フリー

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抄録
I can distinguish hand motions by analyzing generated Electromyogram (EMG). A position deriving Surface EMG (SEMG) and identification rule to distinguish becomes important to distinguish hand motions using SEMG. About a position to derive, The good result is gotten by using 96 multi-channel electrodes developed from our precedence research. There is a report when I can cope with the problems of various pattern recognition by using a support vector machine (SVM) about the identification rule, too. These, we develop the recognition system of operation which used 96 multi-channel electrodes and SVM.
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© 2011 一般社団法人 日本機械学会
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