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Paper Abstract and Keywords
Presentation 2014-03-06 11:40
An Estimation Method and Its Evaluation of Human Action using Multiple Sensors in Portable Devices and Knowledge Processing
Ayaka Suzuki, Toru Abe, Takuo Suganuma (Tohoku Univ.) IN2013-158
Abstract (in Japanese) (See Japanese page) 
(in English) Existing estimation techniques of human action have some problems such as high
installation costs of sensors and restriction of user's daily life. To solve
these problems, we propose an estimation method of human action by
using a portable device such as a smartphone. Our proposed method estimates
basic action based on various kinds of sensor data collected by multiple
sensors in the portable device. The proposed method utilizes knowledge base
including action time and location to enhance estimation accuracy by
combining the knowledge processing and sensor data. In this paper,
we explain the detailed design of our estimation method and its implementation.
We also carry out its experimentation to confirm effectiveness of our proposed estimation method.
Keyword (in Japanese) (See Japanese page) 
(in English) Portable device / Sensors / Estimation of human action / Machine learning / Knowledge processing / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 473, IN2013-158, pp. 89-94, March 2014.
Paper # IN2013-158 
Date of Issue 2014-02-27 (IN) 
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 IN2013-158

Conference Information
Committee NS IN  
Conference Date 2014-03-06 - 2014-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Miyazaki Seagia 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To IN 
Conference Code 2014-03-NS-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Estimation Method and Its Evaluation of Human Action using Multiple Sensors in Portable Devices and Knowledge Processing 
Sub Title (in English)  
Keyword(1) Portable device  
Keyword(2) Sensors  
Keyword(3) Estimation of human action  
Keyword(4) Machine learning  
Keyword(5) Knowledge processing  
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1st Author's Name Ayaka Suzuki  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Toru Abe  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Takuo Suganuma  
3rd Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2014-03-06 11:40:00 
Presentation Time 20 minutes 
Registration for IN 
Paper # IN2013-158 
Volume (vol) vol.113 
Number (no) no.473 
Page pp.89-94 
#Pages
Date of Issue 2014-02-27 (IN) 


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