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Paper Abstract and Keywords
Presentation 2014-12-19 11:55
First-person view sign language recognition based on hand shape discrimination employing SIFT
Yusuke Tajima, Hideaki Kawano, Hiroshi Maeda (KIT) SIS2014-85
Abstract (in Japanese) (See Japanese page) 
(in English) Indeed a lot of studies have been reported on the sign language recognition system, but there are few studies suitable for daily use. In this paper, we propose a sign language recognition system available as daily use. The system is wearable but no restraints in gesturing because sign languages are sensed by a camera mounted on the user's chest. In discriminating the form of hand, a state-of-art feature descriptor, i.e. SIFT, is employed. It is considered that the SIFT is suitable for wearable systems because of the low computational costs. The effectiveness of the proposed method is verified by an experiment using 22 sign language words. As a result, we obtained good results for 19 words among the 22 words.
Keyword (in Japanese) (See Japanese page) 
(in English) sign language recognition / SIFT / HMM / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 370, SIS2014-85, pp. 103-108, Dec. 2014.
Paper # SIS2014-85 
Date of Issue 2014-12-11 (SIS) 
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)
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Conference Information
Committee SIS  
Conference Date 2014-12-18 - 2014-12-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto Research Park (Kyoto City) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) System on Silicon, Short Distance Wireless Communication Application Systems, etc. 
Paper Information
Registration To SIS 
Conference Code 2014-12-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) First-person view sign language recognition based on hand shape discrimination employing SIFT 
Sub Title (in English)  
Keyword(1) sign language recognition  
Keyword(2) SIFT  
Keyword(3) HMM  
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1st Author's Name Yusuke Tajima  
1st Author's Affiliation Kyushu Institute of Technology (KIT)
2nd Author's Name Hideaki Kawano  
2nd Author's Affiliation Kyushu Institute of Technology (KIT)
3rd Author's Name Hiroshi Maeda  
3rd Author's Affiliation Kyushu Institute of Technology (KIT)
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Speaker Author-1 
Date Time 2014-12-19 11:55:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2014-85 
Volume (vol) vol.114 
Number (no) no.370 
Page pp.103-108 
#Pages 6 
Date of Issue 2014-12-11 (SIS) 

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