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| Presentation | 2014-03-18 11:35 An Extraction of Muscle Synergies in the Grasping Task by the Integration of Hand Shape Information and EMG Signal Katsunari Masuzaki, Naohiro Fukumura (Toyohashi Univ. of Tech.)  HIP2013-82 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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) |
| (in English) | Electromyogram / Grasping / Muscle synergy / Neural network model / Auto-encoder / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 113, no. 501, HIP2013-82, pp. 17-22, March 2014. | |
| Paper # | HIP2013-82 | |
| Date of Issue | 2014-03-10 (HIP) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | HIP2013-82 |
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| Conference Information | |
| Committee | HIP |
| Conference Date | 2014-03-17 - 2014-03-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokyo Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Haptics,Hand, etc. |
| Paper Information | |
| Registration To | HIP |
| Conference Code | 2014-03-HIP |
| Language | Japanese |
| 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 |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Katsunari Masuzaki |
| 1st Author's Affiliation | Toyohashi University of Technology (Toyohashi Univ. of Tech.) |
| 2nd Author's Name | Naohiro Fukumura |
| 2nd Author's Affiliation | Toyohashi University of Technology (Toyohashi Univ. of Tech.) |
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| Speaker | Author-1 |
| Date Time | 2014-03-18 11:35:00 |
| Presentation Time | 25 minutes |
| Registration for | HIP |
| Paper # | HIP2013-82 |
| Volume (vol) | vol.113 |
| Number (no) | no.501 |
| Page | pp.17-22 |
| #Pages | 6 |
| Date of Issue | 2014-03-10 (HIP) |
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