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Paper Abstract and Keywords
Presentation 2014-10-19 16:30
EMG motion classification based on Wavelet transformation
Takayuki Mukaeda, Nan Bu (National Institute of Technology, Kumamoto Col.) WIT2014-45
Abstract (in Japanese) (See Japanese page) 
(in English) Studies of motion classification using EMG signal are has been performed in many cases. Recently, study utilizing frequency features of EMG signals are performed. We extracted frequency features from EMG signals using short-time Fourier transform, and occurred forearm motion classification. However, classification becomes unstable by switching part of the operation for improving temporal resolution is difficult. Therefore, we focused on Wavelet transform (WT) which can be solve the problem of temporal resolution. In this study, the frequency features are extracted by WT, and these feature patterns are then inputted into a multi-layer perceptron (MLP) neural network in order to classify forearm motions. As a result, classification rates of the proposed method were used for compare with EMG motion classification method of our previous study using STFT. From this result, the validity of the proposed method was confirmed.
Keyword (in Japanese) (See Japanese page) 
(in English) EMG signal / frequency features / Wavelet transform / pattern classification / neural network / forearm motion / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 261, WIT2014-45, pp. 33-37, Oct. 2014.
Paper # WIT2014-45 
Date of Issue 2014-10-12 (WIT) 
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 WIT2014-45

Conference Information
Committee WIT  
Conference Date 2014-10-19 - 2014-10-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Ergonomics and Well-being Information Technology, etc. 
Paper Information
Registration To WIT 
Conference Code 2014-10-WIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) EMG motion classification based on Wavelet transformation 
Sub Title (in English)  
Keyword(1) EMG signal  
Keyword(2) frequency features  
Keyword(3) Wavelet transform  
Keyword(4) pattern classification  
Keyword(5) neural network  
Keyword(6) forearm motion  
Keyword(7)  
Keyword(8)  
1st Author's Name Takayuki Mukaeda  
1st Author's Affiliation National Institute of Technology, Kumamoto College (National Institute of Technology, Kumamoto Col.)
2nd Author's Name Nan Bu  
2nd Author's Affiliation National Institute of Technology, Kumamoto College (National Institute of Technology, Kumamoto Col.)
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Speaker Author-1 
Date Time 2014-10-19 16:30:00 
Presentation Time 20 minutes 
Registration for WIT 
Paper # WIT2014-45 
Volume (vol) vol.114 
Number (no) no.261 
Page pp.33-37 
#Pages 5 
Date of Issue 2014-10-12 (WIT) 

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