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Paper Abstract and Keywords
Presentation 2019-12-19 17:30
Experimental Evaluation of Self-supervised Learning for Reading Activity Recognition
Shuji Sakamoto, Yoshihiro Yamada, Masakazu Iwamura, Motoi Iwata, Koichi Kise (Osaka Prefecture Univ.) HIP2019-71
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, reading activities have been analyzed by using eye and head movements. The average and variance value of electrooculogram (EOG), acceleration and angular velocity are often used as the features. However, statistical methods cannot express effective features, and the accuracy cannot be improved. On the other hand, a large amount of labeled data is required to obtain effective features using Deep Learning, but it is generally difficult to obtain such data. To solve these problems, we propose using Self-supervised Learning. High accuracy recognition is expected with a small amount of labeled data. In this paper, we get effective features by classifying the types of transformation applied to EOG, acceleration, and angular velocity. Applied on data from an experiment differentiating four types of reading activities, the proposed method achieves an average accuracy of 57.3%.
Keyword (in Japanese) (See Japanese page) 
(in English) Self-supervised Learning / CNN / Reading Activity / JINS MEME / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 348, HIP2019-71, pp. 35-40, Dec. 2019.
Paper # HIP2019-71 
Date of Issue 2019-12-12 (HIP) 
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)
Download PDF HIP2019-71

Conference Information
Committee HIP  
Conference Date 2019-12-19 - 2019-12-20 
Place (in Japanese) (See Japanese page) 
Place (in English) RIEC, Tohoku University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To HIP 
Conference Code 2019-12-HIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Experimental Evaluation of Self-supervised Learning for Reading Activity Recognition 
Sub Title (in English)  
Keyword(1) Self-supervised Learning  
Keyword(2) CNN  
Keyword(3) Reading Activity  
Keyword(4) JINS MEME  
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1st Author's Name Shuji Sakamoto  
1st Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
2nd Author's Name Yoshihiro Yamada  
2nd Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
3rd Author's Name Masakazu Iwamura  
3rd Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
4th Author's Name Motoi Iwata  
4th Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
5th Author's Name Koichi Kise  
5th Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
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Speaker Author-1 
Date Time 2019-12-19 17:30:00 
Presentation Time 30 minutes 
Registration for HIP 
Paper # HIP2019-71 
Volume (vol) vol.119 
Number (no) no.348 
Page pp.35-40 
#Pages 6 
Date of Issue 2019-12-12 (HIP) 

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