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Paper Abstract and Keywords
Presentation 2015-05-14 14:00
Evaluation of a physical condition from gait motions using a depth sensor
Toma Shimoyama, Tsuyoshi Higashiguchi, Norimichi Ukita, Masayuki Kanbara (NAIST), Norihiro Hagita (NAIST/ATR) SIP2015-6 IE2015-6 PRMU2015-6 MI2015-6
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a physical motion evaluation system based on human pose sequences estimated by a depth sensor. While most similar systems measure and evaluate the motion only of a part of interest (i.e. knee), the proposed system comprehensively evaluates the motion of the entire body. With this system, we realize a system that observes a human motion in daily life for finding the sign of aging and physical disability. For daily use, we focus on walking motions.Walking motions with a variety of physical disabilities are recorded and modeled for classification purpose. This classification is achieved with a set of pose features extracted from walking motion sequences. In classification experiments, in which subjects motions were limited so that these motions were regarded as disable motions, the proposed features allow us to specify where a subject was injured with 81 % accuracy. Furthermore, given the injured body part, we also demonstrated that the proposed features can estimate the degree of injury.
Keyword (in Japanese) (See Japanese page) 
(in English) Walking / Disorder identification / Human body pose / Depth sensor / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 24, PRMU2015-6, pp. 29-34, May 2015.
Paper # PRMU2015-6 
Date of Issue 2015-05-07 (SIP, IE, PRMU, MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 SIP2015-6 IE2015-6 PRMU2015-6 MI2015-6

Conference Information
Committee PRMU MI IE SIP  
Conference Date 2015-05-14 - 2015-05-15 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To PRMU 
Conference Code 2015-05-PRMU-MI-IE-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of a physical condition from gait motions using a depth sensor 
Sub Title (in English)  
Keyword(1) Walking  
Keyword(2) Disorder identification  
Keyword(3) Human body pose  
Keyword(4) Depth sensor  
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1st Author's Name Toma Shimoyama  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Tsuyoshi Higashiguchi  
2nd Author's Affiliation Nara Institute of Science and Technology (NAIST)
3rd Author's Name Norimichi Ukita  
3rd Author's Affiliation Nara Institute of Science and Technology (NAIST)
4th Author's Name Masayuki Kanbara  
4th Author's Affiliation Nara Institute of Science and Technology (NAIST)
5th Author's Name Norihiro Hagita  
5th Author's Affiliation Nara Institute of Science and Technology/Advanced Telecommunications Research Institute International (NAIST/ATR)
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Speaker Author-2 
Date Time 2015-05-14 14:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # SIP2015-6, IE2015-6, PRMU2015-6, MI2015-6 
Volume (vol) vol.115 
Number (no) no.22(SIP), no.23(IE), no.24(PRMU), no.25(MI) 
Page pp.29-34 
#Pages
Date of Issue 2015-05-07 (SIP, IE, PRMU, MI) 


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