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Paper Abstract and Keywords
Presentation 2011-03-04 10:55
A Study on the Walking States Classification Method using LPC cepstrum of Acceleration Data
Hayato Shirai, Hiroki Kasahara, Tomonori Ito (Waseda Univ.), Hideki Yoshii (SBTM), Naohisa Komatsu (Waseda Univ.) LOIS2010-85
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a method that classifies acceleration data into walking states by using LPC cepstrum.Walking states mean walking(plain), going up stairs, and going down.In order to get acceleration data, we use a three dimension acceleration sensor.We suggest the effectiveness of this method comparing to related works before.Also, we show that this method could work for personal identification.
Keyword (in Japanese) (See Japanese page) 
(in English) acceleration sensor / walking states / pattern recognition / LPC cepstrum / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 450, LOIS2010-85, pp. 119-124, March 2011.
Paper # LOIS2010-85 
Date of Issue 2011-02-24 (LOIS) 
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 LOIS2010-85

Conference Information
Committee LOIS  
Conference Date 2011-03-03 - 2011-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Ishigaki IT business support center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Practical Use of Lifelog, Office Information System, LifeInteligence, etc. 
Paper Information
Registration To LOIS 
Conference Code 2011-03-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on the Walking States Classification Method using LPC cepstrum of Acceleration Data 
Sub Title (in English)  
Keyword(1) acceleration sensor  
Keyword(2) walking states  
Keyword(3) pattern recognition  
Keyword(4) LPC cepstrum  
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1st Author's Name Hayato Shirai  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Hiroki Kasahara  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Tomonori Ito  
3rd Author's Affiliation Waseda University (Waseda Univ.)
4th Author's Name Hideki Yoshii  
4th Author's Affiliation SoftBank Telecom (SBTM)
5th Author's Name Naohisa Komatsu  
5th Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2011-03-04 10:55:00 
Presentation Time 25 minutes 
Registration for LOIS 
Paper # LOIS2010-85 
Volume (vol) vol.110 
Number (no) no.450 
Page pp.119-124 
#Pages 6 
Date of Issue 2011-02-24 (LOIS) 

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