Presentation | 2012-03-09 Human Interface Using EMG-Based Motion Recognition Method Masahiro YOSHIKAWA, Yoshio MATSUMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we report an EMG-based motion recognition method using support vector machines (SVMs). This method uses EMG signal patterns which consist of integrated EMG signals and cepstral coefficients to recognize hand motions. To verify the effectiveness of the method, experiments to recognize seven hand motions with eight subjects were performed. The experimental results showed that the average recognition rate across eight subjects was 95.8%. The method could adapt subject's EMG patterns in about 30 seconds. By using a myoelectric interface based on the method, a three-dimensional computer graphics robotic hand could be controlled as intended. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | EMG / Motion Recognition / Robotic hand / Support Vector Machine / prosthetic hand |
Paper # | WIT2011-80 |
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Committee | WIT |
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Conference Date | 2012/3/2(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Well-being Information Technology(WIT) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Human Interface Using EMG-Based Motion Recognition Method |
Sub Title (in English) | |
Keyword(1) | EMG |
Keyword(2) | Motion Recognition |
Keyword(3) | Robotic hand |
Keyword(4) | Support Vector Machine |
Keyword(5) | prosthetic hand |
1st Author's Name | Masahiro YOSHIKAWA |
1st Author's Affiliation | Intelligent Systems Research Institute, AIST() |
2nd Author's Name | Yoshio MATSUMOTO |
2nd Author's Affiliation | Intelligent Systems Research Institute, AIST |
Date | 2012-03-09 |
Paper # | WIT2011-80 |
Volume (vol) | vol.111 |
Number (no) | 472 |
Page | pp.pp.- |
#Pages | 4 |
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