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Paper Abstract and Keywords
Presentation 2016-08-18 16:40
Effect of Feature Selection for Gait Recognition on 5 Walking States Using Android Device
Yuji Watanabe, Sara San (Nagoya City Univ.) BioX2016-12
Abstract (in Japanese) (See Japanese page) 
(in English) In our previous study, we collected gait data using an Android application when 8 subjects walked in the following 5 walking states: 1) in the pocket, 2) holding the phone to the ear, and 3) looking on the screen, 4) going upstairs, and 5) going downstairs. We extracted 43 features from the acceleration data of all the recorded gait data, and then identified subject using some machine learning algorithms. However, we have not yet carefully examined the necessity of the 43 features. In this study, using the application, we first collect gait data for 15 subjects in the 5 walking states. From the 3-axes accelerometer data, we extract 52 features adding 9 features of maximum, minimum, and energy for each axis to the 43 features, and then select the subset of the 52 features with small number and high accuracy. The result shows that the accuracies of going upstairs and downstairs are improved by the feature selection.
Keyword (in Japanese) (See Japanese page) 
(in English) Gait Recognition / Android Device / Feature Selection / Behavior-based Feature / Biometrics / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 182, BioX2016-12, pp. 27-32, Aug. 2016.
Paper # BioX2016-12 
Date of Issue 2016-08-11 (BioX) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 BioX  
Conference Date 2016-08-18 - 2016-08-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Biometrics, etc. 
Paper Information
Registration To BioX 
Conference Code 2016-08-BioX 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Effect of Feature Selection for Gait Recognition on 5 Walking States Using Android Device 
Sub Title (in English)  
Keyword(1) Gait Recognition  
Keyword(2) Android Device  
Keyword(3) Feature Selection  
Keyword(4) Behavior-based Feature  
Keyword(5) Biometrics  
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1st Author's Name Yuji Watanabe  
1st Author's Affiliation Nagoya City University (Nagoya City Univ.)
2nd Author's Name Sara San  
2nd Author's Affiliation Nagoya City University (Nagoya City Univ.)
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Speaker Author-1 
Date Time 2016-08-18 16:40:00 
Presentation Time 25 minutes 
Registration for BioX 
Paper # BioX2016-12 
Volume (vol) vol.116 
Number (no) no.182 
Page pp.27-32 
#Pages
Date of Issue 2016-08-11 (BioX) 


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