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Paper Abstract and Keywords
Presentation 2015-03-06 13:15
A Study on Feature Extraction from Footstep Using Locally Stationary Autoregressive Model
Kazuki Mizuno, Shota Tanaka, Akitoshi Itai (Chubu Univ.) SIS2014-110
Abstract (in Japanese) (See Japanese page) 
(in English) It is known that a footstep is useful tool to estimate a human state. Recent years, the footstep analysis based on the AR model is adopted to achieve various surveillance systems. The suitable AR model for footstep analysis have not been discussed yet since the order of conventional AR model is fixed. In this paper, we apply the locally stationary autoregressive model and AIC to perform a appropriate footstep analysis.
Keyword (in Japanese) (See Japanese page) 
(in English) Footstep / Locally Stationary Autoregressive Model / Modeling / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 496, SIS2014-110, pp. 105-109, March 2015.
Paper # SIS2014-110 
Date of Issue 2015-02-26 (SIS) 
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 SIS  
Conference Date 2015-03-05 - 2015-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Meiji Univ. Nakano Campus (Tokyo) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Soft Computing, etc. 
Paper Information
Registration To SIS 
Conference Code 2015-03-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Feature Extraction from Footstep Using Locally Stationary Autoregressive Model 
Sub Title (in English)  
Keyword(1) Footstep  
Keyword(2) Locally Stationary Autoregressive Model  
Keyword(3) Modeling  
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1st Author's Name Kazuki Mizuno  
1st Author's Affiliation Chubu University (Chubu Univ.)
2nd Author's Name Shota Tanaka  
2nd Author's Affiliation Chubu University (Chubu Univ.)
3rd Author's Name Akitoshi Itai  
3rd Author's Affiliation Chubu University (Chubu Univ.)
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Speaker Author-1 
Date Time 2015-03-06 13:15:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2014-110 
Volume (vol) vol.114 
Number (no) no.496 
Page pp.105-109 
#Pages
Date of Issue 2015-02-26 (SIS) 


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