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Paper Abstract and Keywords
Presentation 2016-10-17 09:00
Gait Identification Using Arm Acceleration Data with SVM Classification
Kodai Kitagawa, Yu Taguchi, Nobuyuki Toya (NIT, Kushiro College) WIT2016-39
Abstract (in Japanese) (See Japanese page) 
(in English) Gait parameters like stride length and foot clearance are important for fall prevention. We have been developing a system to identify gait patterns based on stride length and foot clearance by acceleration sensors mounted in the Smartphone on an arm. In this paper, we experiment whether Support Vector Machine using three-axis accelerations as feature values can identify three gait patterns. (Three gait patterns are "Normal", "High step", "Long step".) The result showed that this method can identify three gait patterns of some subjects.
Keyword (in Japanese) (See Japanese page) 
(in English) Gait / Acceleration / Arm / Support Vector Machine / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 248, WIT2016-39, pp. 35-38, Oct. 2016.
Paper # WIT2016-39 
Date of Issue 2016-10-09 (WIT) 
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 WIT2016-39

Conference Information
Committee WIT  
Conference Date 2016-10-16 - 2016-10-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Karatsu Royal Hotel (Saga pref.) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Ergonomics and Well-being Information Technology, etc. 
Paper Information
Registration To WIT 
Conference Code 2016-10-WIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Gait Identification Using Arm Acceleration Data with SVM Classification 
Sub Title (in English)  
Keyword(1) Gait  
Keyword(2) Acceleration  
Keyword(3) Arm  
Keyword(4) Support Vector Machine  
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1st Author's Name Kodai Kitagawa  
1st Author's Affiliation National Institute of Technology, Kushiro College (NIT, Kushiro College)
2nd Author's Name Yu Taguchi  
2nd Author's Affiliation National Institute of Technology, Kushiro College (NIT, Kushiro College)
3rd Author's Name Nobuyuki Toya  
3rd Author's Affiliation National Institute of Technology, Kushiro College (NIT, Kushiro College)
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Speaker Author-1 
Date Time 2016-10-17 09:00:00 
Presentation Time 20 minutes 
Registration for WIT 
Paper # WIT2016-39 
Volume (vol) vol.116 
Number (no) no.248 
Page pp.35-38 
#Pages 4 
Date of Issue 2016-10-09 (WIT) 

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