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Paper Abstract and Keywords
Presentation 2012-01-20 11:00
A Study on the Effectiveness of Cepstrum Analysis using Acceleration Sensor in Walking States Classification
Tomonori Ito, Satoyuki Uehara, Hiroki Kasahara (Waseda Univ), Masatsugu Ichino (UEC), Hideki Yoshii (SOFTBANK TELECOM), Kazuhiro Tsurumaru, Jiro Katto, Naohisa Komatsu (Waseda Univ) ICM2011-38 LOIS2011-63
Abstract (in Japanese) (See Japanese page) 
(in English) We will apply cepstrum analysis, which is often used as a voice recognition method, to classify walking states (gait) using three dimensional acceleration sensor and examine this validity. Then we will show that cepstrum gives us better recognition and is less susceptible data than basic statistics such as average and variance against the data acquisition condition. Also we will study characteristics of spectral envelope of walking states.
Keyword (in Japanese) (See Japanese page) 
(in English) acceleration sensor / pattern recognition / gait / cepstrum analysis / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 383, LOIS2011-63, pp. 39-44, Jan. 2012.
Paper # LOIS2011-63 
Date of Issue 2012-01-12 (ICM, 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 ICM2011-38 LOIS2011-63

Conference Information
Committee LOIS ICM  
Conference Date 2012-01-19 - 2012-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Sojo Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2012-01-LOIS-ICM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on the Effectiveness of Cepstrum Analysis using Acceleration Sensor in Walking States Classification 
Sub Title (in English)  
Keyword(1) acceleration sensor  
Keyword(2) pattern recognition  
Keyword(3) gait  
Keyword(4) cepstrum analysis  
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Keyword(6)  
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1st Author's Name Tomonori Ito  
1st Author's Affiliation Waseda University (Waseda Univ)
2nd Author's Name Satoyuki Uehara  
2nd Author's Affiliation Waseda University (Waseda Univ)
3rd Author's Name Hiroki Kasahara  
3rd Author's Affiliation Waseda University (Waseda Univ)
4th Author's Name Masatsugu Ichino  
4th Author's Affiliation University of Electro-Communications (UEC)
5th Author's Name Hideki Yoshii  
5th Author's Affiliation SOFTBANK TELECOM Corp (SOFTBANK TELECOM)
6th Author's Name Kazuhiro Tsurumaru  
6th Author's Affiliation Waseda University (Waseda Univ)
7th Author's Name Jiro Katto  
7th Author's Affiliation Waseda University (Waseda Univ)
8th Author's Name Naohisa Komatsu  
8th Author's Affiliation Waseda University (Waseda Univ)
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Speaker Author-1 
Date Time 2012-01-20 11:00:00 
Presentation Time 30 minutes 
Registration for LOIS 
Paper # ICM2011-38, LOIS2011-63 
Volume (vol) vol.111 
Number (no) no.382(ICM), no.383(LOIS) 
Page pp.39-44 
#Pages 6 
Date of Issue 2012-01-12 (ICM, LOIS) 

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