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| 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 |
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| 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 |
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| 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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