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Paper Abstract and Keywords
Presentation 2012-06-28 10:10
Multi-Class EMG Pattern Classfication using a Selective Desensitization Neural Network with a Half-vs-Half Method
Kazumasa Horie (Univ. of Tsukuba), Atsuo Suemitsu (JAIST), Masahiko Morita (Univ. of Tsukuba) NC2012-3
Abstract (in Japanese) (See Japanese page) 
(in English) The real-time classi cation of human movements by using surface electromyogram (EMG) signals is an important research issue in the development of a new input interface. However, the existing approaches detect irrelevant movements as the target movement, that is, false detection, if the number of the movements to be classi ed is large. In this research, we propose a new multi-class classi cation method (half-vs-half method) and apply it to an existing selective desensitization neural network. The result of the evaluation experiment under realistic conditions indicates that the proposed method is rather better than the conventional methods in terms of correct and false detections. The proposed method also does not require more computational time with an increase in the number of classes, complicated parameter setting, and kernel design, which provides a highly practical method for EMG pattern classi cation.
Keyword (in Japanese) (See Japanese page) 
(in English) Selective Desensitization / Neural Network / Electromyogram Signals / Multi-Class Classi cation / False Detection / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 108, NC2012-3, pp. 13-18, June 2012.
Paper # NC2012-3 
Date of Issue 2012-06-21 (NC) 
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)
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Conference Information
Committee NC IPSJ-BIO  
Conference Date 2012-06-28 - 2012-06-29 
Place (in Japanese) (See Japanese page) 
Place (in English) OIST, Okinawa 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning Approach to Biodata Mining, and General 
Paper Information
Registration To NC 
Conference Code 2012-06-NC-BIO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Multi-Class EMG Pattern Classfication using a Selective Desensitization Neural Network with a Half-vs-Half Method 
Sub Title (in English)  
Keyword(1) Selective Desensitization  
Keyword(2) Neural Network  
Keyword(3) Electromyogram Signals  
Keyword(4) Multi-Class Classi cation  
Keyword(5) False Detection  
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1st Author's Name Kazumasa Horie  
1st Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
2nd Author's Name Atsuo Suemitsu  
2nd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
3rd Author's Name Masahiko Morita  
3rd Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
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Speaker Author-1 
Date Time 2012-06-28 10:10:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2012-3 
Volume (vol) vol.112 
Number (no) no.108 
Page pp.13-18 
#Pages
Date of Issue 2012-06-21 (NC) 


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