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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WIT2024-1 |
Conference Information |
Committee |
WIT |
Conference Date |
2024-08-20 - 2024-08-20 |
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(See Japanese page) |
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(See Japanese page) |
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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 |
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Sign language recognition |
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Mouth movement recognition |
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Lip-reading |
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Annotation support |
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1st Author's Name |
Yuika Umeda |
1st Author's Affiliation |
Nagoya Institute of Tecnology (NIT) |
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Shinji Sako |
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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 |
6 |
Date of Issue |
2024-08-13 (WIT) |