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Paper Abstract and Keywords
Presentation 2024-08-20 10:05
A study of mousing detection in Japanese Sign Language video for annotation support
Yuika Umeda, Shinji Sako (NIT) WIT2024-1
Abstract (in Japanese) (See Japanese page) 
(in English) We studied the detection of mouthing, a type of mouth movement in Japanese Sign Language, to support sign language annotation. There is a need to develop a larger and more versatile corpus of Japanese Sign Language. However, annotation is difficult due to the complexity of sign language expressions. Therefore, we would like to automate the annotation of signs so that the corpus can be developed more efficiently. In the development of BOBSL, they used a technology that recognizes mouth shapes for automatic annotation. In this study, we use existing machine lip-reading technology to recognize mouth shapes in Japanese Sign Language. It then detects mouth movements, called mouthing, by matching the recognition results with mouthing words identified from the translated text. We also collected videos of Japanese Sign Language to create our dataset. At that time, we investigated the expression patterns of mousing and found variations. Finally, we considered improvement suggestions of the proposed method for future research.
Keyword (in Japanese) (See Japanese page) 
(in English) Sign language recognition / Mouth movement recognition / Lip-reading / Annotation support / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 154, WIT2024-1, pp. 1-6, Aug. 2024.
Paper # WIT2024-1 
Date of Issue 2024-08-13 (WIT) 
ISSN 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 WIT  
Conference Date 2024-08-20 - 2024-08-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To WIT 
Conference Code 2024-08-WIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study of mousing detection in Japanese Sign Language video for annotation support 
Sub Title (in English)  
Keyword(1) Sign language recognition  
Keyword(2) Mouth movement recognition  
Keyword(3) Lip-reading  
Keyword(4) Annotation support  
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1st Author's Name Yuika Umeda  
1st Author's Affiliation Nagoya Institute of Tecnology (NIT)
2nd Author's Name Shinji Sako  
2nd Author's Affiliation Nagoya Institute of Tecnology (NIT)
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Speaker Author-1 
Date Time 2024-08-20 10:05:00 
Presentation Time 25 minutes 
Registration for WIT 
Paper # WIT2024-1 
Volume (vol) vol.124 
Number (no) no.154 
Page pp.1-6 
#Pages
Date of Issue 2024-08-13 (WIT) 


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