Presentation | 2014-03-18 An Extraction of Muscle Synergies in the Grasping Task by the Integration of Hand Shape Information and EMG Signal Katsunari MASUZAKI, Naohiro FUKUMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Since a human has a large number of muscles, it is thought that controlling the enormous degrees of freedom is difficult. However, the human achieves the movement skillfully and it is not known how the central nervous system controls and coordinates many degrees of freedom. One of the major hypothesis to solve this problem is the mechanism of muscle synergies. In this study, we focused on the extraction of the muscle synergies in a grasping task. At first, we confirmed the feature extraction from EMG using principal component analysis. After that, we examined a neural network model for extracting the correlated information between different kinds of information. As a result, we confiremed that the neural network model could extract the muscle synergies in the grasping task from the hand shape and EMG signal. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Electromyogram / Grasping / Muscle synergy / Neural network model / Auto-encoder |
Paper # | HIP2013-82 |
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Conference Information | |
Committee | HIP |
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Conference Date | 2014/3/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Human Information Processing (HIP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Extraction of Muscle Synergies in the Grasping Task by the Integration of Hand Shape Information and EMG Signal |
Sub Title (in English) | |
Keyword(1) | Electromyogram |
Keyword(2) | Grasping |
Keyword(3) | Muscle synergy |
Keyword(4) | Neural network model |
Keyword(5) | Auto-encoder |
1st Author's Name | Katsunari MASUZAKI |
1st Author's Affiliation | Toyohashi University of Technology() |
2nd Author's Name | Naohiro FUKUMURA |
2nd Author's Affiliation | Toyohashi University of Technology |
Date | 2014-03-18 |
Paper # | HIP2013-82 |
Volume (vol) | vol.113 |
Number (no) | 501 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |