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Paper Abstract and Keywords
Presentation 2014-01-24 17:00
Sign language recognition of different hand shape in the same arm motion
Daisuke Imamura, Yoshihiro Furuya, Yasuo Horiuchi, Kazuhiko Kawamoto, Shingo Kuroiwa (Chiba Univ.) PRMU2013-117 MVE2013-58
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we will introduce a continuous sign language recognition method which can distinguish the words with the same arm motion and the different hand shape. We have proposed a sign language recognition method based on the Hidden Markov Model tracking the signer's arm motion. However, the method used only arm motion and it was unable to distinguish the words with the different hand shape and the same arm motion. In this study, the hand shape images were extracted when the arm motion stopped or the movement direction of arm changes significantly. The extracted images are classified by the Support Vector Machine and identified as the proper sign word. As the result of the recognition experiment, the recognition accuracy was about 80% for the words with the different hand shape.
Keyword (in Japanese) (See Japanese page) 
(in English) Sign Language / Histogram of Oriented Gradients / Support Vector Machine / Motion Sensor / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 402, PRMU2013-117, pp. 269-274, Jan. 2014.
Paper # PRMU2013-117 
Date of Issue 2014-01-16 (PRMU, MVE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 PRMU IPSJ-CVIM MVE  
Conference Date 2014-01-23 - 2014-01-24 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2014-01-PRMU-CVIM-MVE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Sign language recognition of different hand shape in the same arm motion 
Sub Title (in English)  
Keyword(1) Sign Language  
Keyword(2) Histogram of Oriented Gradients  
Keyword(3) Support Vector Machine  
Keyword(4) Motion Sensor  
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1st Author's Name Daisuke Imamura  
1st Author's Affiliation Chiba University (Chiba Univ.)
2nd Author's Name Yoshihiro Furuya  
2nd Author's Affiliation Chiba University (Chiba Univ.)
3rd Author's Name Yasuo Horiuchi  
3rd Author's Affiliation Chiba University (Chiba Univ.)
4th Author's Name Kazuhiko Kawamoto  
4th Author's Affiliation Chiba University (Chiba Univ.)
5th Author's Name Shingo Kuroiwa  
5th Author's Affiliation Chiba University (Chiba Univ.)
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Speaker Author-1 
Date Time 2014-01-24 17:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2013-117, MVE2013-58 
Volume (vol) vol.113 
Number (no) no.402(PRMU), no.403(MVE) 
Page pp.269-274 
#Pages
Date of Issue 2014-01-16 (PRMU, MVE) 


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