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Paper Abstract and Keywords
Presentation 2021-10-19 09:10
Sign language generation tool using 3D motion data
Teppei Miura, Shinji Sako (NIT) SP2021-24 WIT2021-17
Abstract (in Japanese) (See Japanese page) 
(in English) Machine learnings play an important role in sign language recognition. However, sign language datasets are shortage the volume and variety to work well in the wild. To enlarge the datasets, we develop a synthetic sign language data generation tool from 3D motion data. The proposed tool generates realistic images of various body shape with 2D / 3D poses, depth maps, body-part segmentations, optical flows, and surface normals. The large-scale dataset generated by our tool is useful for sign language recognition and analysis.
Keyword (in Japanese) (See Japanese page) 
(in English) Sign language data / Synthetic data generation / 3D motion data / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 203, WIT2021-17, pp. 1-5, Oct. 2021.
Paper # WIT2021-17 
Date of Issue 2021-10-12 (SP, WIT) 
ISSN Online edition: ISSN 2432-6380
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
Conference Date 2021-10-19 - 2021-10-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To WIT 
Conference Code 2021-10-SP-WIT-SLP-H 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Sign language generation tool using 3D motion data 
Sub Title (in English)  
Keyword(1) Sign language data  
Keyword(2) Synthetic data generation  
Keyword(3) 3D motion data  
1st Author's Name Teppei Miura  
1st Author's Affiliation Nagoya Institute of Technology (NIT)
2nd Author's Name Shinji Sako  
2nd Author's Affiliation Nagoya Institute of Technology (NIT)
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Speaker Author-1 
Date Time 2021-10-19 09:10:00 
Presentation Time 25 minutes 
Registration for WIT 
Paper # SP2021-24, WIT2021-17 
Volume (vol) vol.121 
Number (no) no.202(SP), no.203(WIT) 
Page pp.1-5 
Date of Issue 2021-10-12 (SP, WIT) 

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