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| Presentation | 2022-03-03 10:20 Proposal of drowsiness detection from multimodal biosignals using t-SNE Takumi Nomura, Shin'ichiro Kanoh (SIT)  MBE2021-94 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The method to detect drowsiness from electroencephalogram (EEG), electrocardiogram (ECG), and electroretinogram (EOG) while subjects were driving in a drive simulator was proposed and evaluated. In this method, dimensionality of biosignals was reduced by using t-SNE. The data at collision or derailment accidents were treated as that with strong drowsiness. SVM was used to classify the data into two classes. Compared to the method without using t-SNE, the proposed method with t-SNE improved the overall correct response rate to about 90%. The results of SVM training on another day showed that the correct response rate ranged from about 50 to about 80%. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | drowsiness detection / multimodal biosignals / car driver / t-SNE / pattern classification / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 389, MBE2021-94, pp. 31-34, March 2022. | |
| Paper # | MBE2021-94 | |
| Date of Issue | 2022-02-23 (MBE) | |
| 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 | MBE2021-94 |
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| Conference Information | |
| Committee | MBE NC |
| Conference Date | 2022-03-02 - 2022-03-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MBE |
| Conference Code | 2022-03-MBE-NC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Proposal of drowsiness detection from multimodal biosignals using t-SNE |
| Sub Title (in English) | |
| Keyword(1) | drowsiness detection |
| Keyword(2) | multimodal biosignals |
| Keyword(3) | car driver |
| Keyword(4) | t-SNE |
| Keyword(5) | pattern classification |
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| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Takumi Nomura |
| 1st Author's Affiliation | Shibaura Institute of Technology (SIT) |
| 2nd Author's Name | Shin'ichiro Kanoh |
| 2nd Author's Affiliation | Shibaura Institute of Technology (SIT) |
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| Speaker | Author-1 |
| Date Time | 2022-03-03 10:20:00 |
| Presentation Time | 25 minutes |
| Registration for | MBE |
| Paper # | MBE2021-94 |
| Volume (vol) | vol.121 |
| Number (no) | no.389 |
| Page | pp.31-34 |
| #Pages | 4 |
| Date of Issue | 2022-02-23 (MBE) |
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