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Paper Abstract and Keywords
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
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
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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)
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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  
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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
Date Time 2014-03-18 11:35:00 
Presentation Time 25 
Registration for HIP 
Paper # IEICE-HIP2013-82 
Volume (vol) IEICE-113 
Number (no) no.501 
Page pp.17-22 
#Pages IEICE-6 
Date of Issue IEICE-HIP-2014-03-10 


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