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Paper Abstract and Keywords
Presentation 2021-06-29 14:20
Investigation of pretext task for a classification model of human interaction motion
Kenshiro Ata, Yusuke Nishimura (Osaka Univ.), Yuya Okadome, Yutaka Nakamura (RIKEN GRP), Hiroshi Ishiguro (Osaka Univ.) NC2021-14 IBISML2021-14
Abstract (in Japanese) (See Japanese page) 
(in English) The technology of recognizing human actions has been used not only for recognizing human activities but also for controlling interactive robots in various situations. In this research, we focus on the task of recognizing human actions during an interaction. Although it is easy to record human actions during interaction using video equipment, it is costly to annotate the video data for training a discriminator. In this research, we develop an efficient learning method using self-supervised learning, in which unlabeled data is also used for learning the discriminant task. In this paper, we prepared several pretext tasks focusing on the temporal difference between the action of the dialogue partner and the task itself, and evaluated the difference in discrimination performance.
Keyword (in Japanese) (See Japanese page) 
(in English) Interaction / Self-supervised learning / Pretext task / Motion recognition / Turn-taking / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 79, NC2021-14, pp. 97-102, June 2021.
Paper # NC2021-14 
Date of Issue 2021-06-21 (NC, IBISML) 
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)
Download PDF NC2021-14 IBISML2021-14

Conference Information
Committee NC IBISML IPSJ-BIO IPSJ-MPS  
Conference Date 2021-06-28 - 2021-06-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2021-06-NC-IBISML-BIO-MPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Investigation of pretext task for a classification model of human interaction motion 
Sub Title (in English)  
Keyword(1) Interaction  
Keyword(2) Self-supervised learning  
Keyword(3) Pretext task  
Keyword(4) Motion recognition  
Keyword(5) Turn-taking  
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Keyword(8)  
1st Author's Name Kenshiro Ata  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Yusuke Nishimura  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Yuya Okadome  
3rd Author's Affiliation Institute of Physical and Chemical Research, Information R&D and Strategy Headquarters, Guardian Robot Project (RIKEN GRP)
4th Author's Name Yutaka Nakamura  
4th Author's Affiliation Institute of Physical and Chemical Research, Information R&D and Strategy Headquarters, Guardian Robot Project (RIKEN GRP)
5th Author's Name Hiroshi Ishiguro  
5th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2021-06-29 14:20:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2021-14, IBISML2021-14 
Volume (vol) vol.121 
Number (no) no.79(NC), no.80(IBISML) 
Page pp.97-102 
#Pages 6 
Date of Issue 2021-06-21 (NC, IBISML) 

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