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| Presentation | 2021-03-02 09:30 Construction and Evaluation of an Emotion Estimation Model Using EEG and Heart Rate Variability Indices Kei Suzuki, Ryota Matsubara, Midori Sugaya (Shibaura Inst. of Tech.)  BioX2020-40 CNR2020-13 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Urabe et al. have conducted research on human emotion estimation techniques. They constructed an emotion estimation model by machine learning using EEG and heart rate variability as features, and the accuracy was about 80% on average. However, the extraction and selection of features are not sufficiently done, and there is room for improving the accuracy. Therefore, in this study, we extracted and selected features to improve the accuracy. As a result, we succeeded in improving the accuracy to nearly 100% for the features used in this study. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | emotion estimation / machine learning / feature extraction / feature selection / EEG / heart rate variability / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 393, BioX2020-40, pp. 1-6, March 2021. | |
| Paper # | BioX2020-40 | |
| Date of Issue | 2021-02-23 (BioX, CNR) | |
| 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 | BioX2020-40 CNR2020-13 |
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| Conference Information | |
| Committee | BioX CNR |
| Conference Date | 2021-03-02 - 2021-03-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | BioX |
| Conference Code | 2021-03-BioX-CNR |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Construction and Evaluation of an Emotion Estimation Model Using EEG and Heart Rate Variability Indices |
| Sub Title (in English) | |
| Keyword(1) | emotion estimation |
| Keyword(2) | machine learning |
| Keyword(3) | feature extraction |
| Keyword(4) | feature selection |
| Keyword(5) | EEG |
| Keyword(6) | heart rate variability |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kei Suzuki |
| 1st Author's Affiliation | Shibaura Institute of Technology (Shibaura Inst. of Tech.) |
| 2nd Author's Name | Ryota Matsubara |
| 2nd Author's Affiliation | Shibaura Institute of Technology (Shibaura Inst. of Tech.) |
| 3rd Author's Name | Midori Sugaya |
| 3rd Author's Affiliation | Shibaura Institute of Technology (Shibaura Inst. of Tech.) |
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| Speaker | Author-1 |
| Date Time | 2021-03-02 09:30:00 |
| Presentation Time | 20 minutes |
| Registration for | BioX |
| Paper # | BioX2020-40, CNR2020-13 |
| Volume (vol) | vol.120 |
| Number (no) | no.393(BioX), no.394(CNR) |
| Page | pp.1-6 |
| #Pages | 6 |
| Date of Issue | 2021-02-23 (BioX, CNR) |
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