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Paper Abstract and Keywords
Presentation 2010-03-16 11:30
Exercise Stress Estimation in Unconstrained Measurement Environment
Daisuke Okuya, Kurato Maeno (OKI Electric Industry Co., Ltd.) PRMU2009-293 HIP2009-178
Abstract (in Japanese) (See Japanese page) 
(in English) In activity recognition with acceleration sensors, it is also important to recognize the pace or exercise stress of the action in addition to recognizing the type of the action.
To measure a musclar stress, there are techniques measuring a electric potential and microvibration of muscle. They are unsuitable for the stress estimate in the activity recognition because the movement of an examinee are limited to the measurement environment.
In this paper, we acquired acceleration elements including microvibration of muscle using an acceleration sensor. It is used for general activety recognition usage and does not restrain the body to the measurement environment. Then we extracted the feature quantities that depend on the exercise stress. And we found that the recognition rates by machine learning that uses extracted feature amount for input is higher than that uses mean power frequency of acceleration.
Keyword (in Japanese) (See Japanese page) 
(in English) activity recognition / exercise stress estimation / accelerometer / / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 470, PRMU2009-293, pp. 353-358, March 2010.
Paper # PRMU2009-293 
Date of Issue 2010-03-08 (PRMU, HIP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 PRMU HIP  
Conference Date 2010-03-15 - 2010-03-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Kagoshima Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2010-03-PRMU-HIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Exercise Stress Estimation in Unconstrained Measurement Environment 
Sub Title (in English)  
Keyword(1) activity recognition  
Keyword(2) exercise stress estimation  
Keyword(3) accelerometer  
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1st Author's Name Daisuke Okuya  
1st Author's Affiliation OKI Electric Industry Co., Ltd. (OKI Electric Industry Co., Ltd.)
2nd Author's Name Kurato Maeno  
2nd Author's Affiliation OKI Electric Industry Co., Ltd. (OKI Electric Industry Co., Ltd.)
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Speaker Author-1 
Date Time 2010-03-16 11:30:00 
Presentation Time 25 minutes 
Registration for PRMU 
Paper # PRMU2009-293, HIP2009-178 
Volume (vol) vol.109 
Number (no) no.470(PRMU), no.471(HIP) 
Page pp.353-358 
#Pages
Date of Issue 2010-03-08 (PRMU, HIP) 


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