Presentation 2011-10-13
筋疲労を考慮した表面筋電位からのロバスト指動作識別(一般,複合現実感,仮想都市,及び一般)
Keisuke ISHIKAWA, Masashi TODA, Shigeru SAKURAZAWA, Junichi AKITA, Kazuaki KONDO, Yuichi NAKAMURA,
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Abstract(in English) Now, finger motion classification using surface electromyogram signals(EMG) is applied to a myoelectric prosthetic hand is often used to pattern classification methods. It can classify the motion with great accuracy. However, it has the problem that classification precision falls to change the feature quantity of EMG with the muscle fatigure. In this study, we have addressd this problem, and aims to the robust finger motion classification to the change of EMG feature to the muscle fatige. In this paper, we tested the change of EMG feature before and after the muscle fatigue and the accuracy of the finger motion classification using SVM considering muscle fatigue.
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Keyword(in English) Surface electromyograms singnals(EMG) / motion classification / muscle fatigue / support vector machine(SVM)
Paper # MVE2011-32
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Committee MVE
Conference Date 2011/10/6(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English)
Sub Title (in English)
Keyword(1) Surface electromyograms singnals(EMG)
Keyword(2) motion classification
Keyword(3) muscle fatigue
Keyword(4) support vector machine(SVM)
1st Author's Name Keisuke ISHIKAWA
1st Author's Affiliation Graduate School of Systems Information Science, Future University Hakodate()
2nd Author's Name Masashi TODA
2nd Author's Affiliation School of Systems Information Science, Future University Hakodate
3rd Author's Name Shigeru SAKURAZAWA
3rd Author's Affiliation School of Systems Information Science, Future University Hakodate
4th Author's Name Junichi AKITA
4th Author's Affiliation Faculty of Engineering, Kanazawa University
5th Author's Name Kazuaki KONDO
5th Author's Affiliation Academic Center for Computing and Media Studies, Kyoto University
6th Author's Name Yuichi NAKAMURA
6th Author's Affiliation Academic Center for Computing and Media Studies, Kyoto University
Date 2011-10-13
Paper # MVE2011-32
Volume (vol) vol.111
Number (no) 235
Page pp.pp.-
#Pages 5
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