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Paper Abstract and Keywords
Presentation 2013-03-12 12:00
Word Recognition Method of Sign Language Movement from Multiple Speakers Using Via-points Based on the Minimum Jerk Model.
Shinpei Igari, Naohiro Fukumura (Toyohashi Univ. of Tech.) IMQ2012-80 IE2012-184 MVE2012-141 WIT2012-90
Abstract (in Japanese) (See Japanese page) 
(in English) Feature extraction from movements and a pattern matching methods are major challenges in the word recognition of sign language represented by human arm movements. We have proposed the method that via-points, which is extracted based on the minimum jerk model is used as the feature of the arm movements. In this study, we apply DP matching to pattern matching method for extracted discrete via-points in order to compare the dictionary data from other subjects’ movements since the number of the via-points in the same word may be different. The proposed method adding the weight depending on the time information to the recurrence formula of DP matching scored high accuracy in the recognition experiment using the multiple speakers’ sign word movements.
Keyword (in Japanese) (See Japanese page) 
(in English) Sign Language Recognition / Multi-speaker / Minimum Jerk Model / Via-Points / DP Matching / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 475, WIT2012-90, pp. 257-262, March 2013.
Paper # WIT2012-90 
Date of Issue 2013-03-04 (IMQ, IE, MVE, 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 IMQ2012-80 IE2012-184 MVE2012-141 WIT2012-90

Conference Information
Committee MVE IE WIT IMQ CQ  
Conference Date 2013-03-11 - 2013-03-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Fukuoka Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Quality of media communication, welfare, and general topics 
Paper Information
Registration To WIT 
Conference Code 2013-03-MVE-IE-WIT-IMQ-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Word Recognition Method of Sign Language Movement from Multiple Speakers Using Via-points Based on the Minimum Jerk Model. 
Sub Title (in English)  
Keyword(1) Sign Language Recognition  
Keyword(2) Multi-speaker  
Keyword(3) Minimum Jerk Model  
Keyword(4) Via-Points  
Keyword(5) DP Matching  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Shinpei Igari  
1st Author's Affiliation Toyohashi University of Technology (Toyohashi Univ. of Tech.)
2nd Author's Name Naohiro Fukumura  
2nd Author's Affiliation Toyohashi University of Technology (Toyohashi Univ. of Tech.)
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Speaker Author-1 
Date Time 2013-03-12 12:00:00 
Presentation Time 25 minutes 
Registration for WIT 
Paper # IMQ2012-80, IE2012-184, MVE2012-141, WIT2012-90 
Volume (vol) vol.112 
Number (no) no.472(IMQ), no.473(IE), no.474(MVE), no.475(WIT) 
Page pp.257-262 
#Pages 6 
Date of Issue 2013-03-04 (IMQ, IE, MVE, WIT) 

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