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 |
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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PRMU2009-293 HIP2009-178 |
Conference Information |
Committee |
PRMU HIP |
Conference Date |
2010-03-15 - 2010-03-16 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kagoshima Univ. |
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(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2010-03-PRMU-HIP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
Exercise Stress Estimation in Unconstrained Measurement Environment |
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activity recognition |
Keyword(2) |
exercise stress estimation |
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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 |
6 |
Date of Issue |
2010-03-08 (PRMU, HIP) |
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