Paper Abstract and Keywords |
Presentation |
2019-07-20 11:20
Near future drowsiness prediction using support vector regression analysis of electroencephalogram parameters Izzat Akbar, Arthur Rumagit, Mitaku Utsunomiya, Takamasa Morie, Tomohiko Igasaki (Kumamoto Univ.) MBE2019-21 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Traffic accident becomes a global concern recently. One of the causes is drowsy driving. Previous studies tried to solve the problem. However, most of them only focused on estimating current drowsiness condition instead of predicting the near future drowsiness condition. This study aims to investigate whether the near future drowsiness can be predicted by using electroencephalogram (EEG) and support vector regression (SVR) as a predictor. Karolinska sleepiness scale (KSS) used as subjective drowsiness parameter in this study. The result of this study showed the SVR was able to predict the next 30-second drowsiness condition by using 5.5-minute previous EEG data with a root mean squared error (RMSE) up to 0.52. Taken together, we suggest EEG and SVR can be used for drowsiness assessment especially for predicting drowsiness condition. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
drowsiness prediction / electroencephalogram parameters / support vector regression / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 137, MBE2019-21, pp. 13-18, July 2019. |
Paper # |
MBE2019-21 |
Date of Issue |
2019-07-13 (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) |
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MBE2019-21 |
Conference Information |
Committee |
MBE |
Conference Date |
2019-07-20 - 2019-07-20 |
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Paper Information |
Registration To |
MBE |
Conference Code |
2019-07-MBE |
Language |
English (Japanese title is available) |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Near future drowsiness prediction using support vector regression analysis of electroencephalogram parameters |
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drowsiness prediction |
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electroencephalogram parameters |
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support vector regression |
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1st Author's Name |
Izzat Akbar |
1st Author's Affiliation |
Kumamoto University (Kumamoto Univ.) |
2nd Author's Name |
Arthur Rumagit |
2nd Author's Affiliation |
Kumamoto University (Kumamoto Univ.) |
3rd Author's Name |
Mitaku Utsunomiya |
3rd Author's Affiliation |
Kumamoto University (Kumamoto Univ.) |
4th Author's Name |
Takamasa Morie |
4th Author's Affiliation |
Kumamoto University (Kumamoto Univ.) |
5th Author's Name |
Tomohiko Igasaki |
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Kumamoto University (Kumamoto Univ.) |
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Speaker |
Author-1 |
Date Time |
2019-07-20 11:20:00 |
Presentation Time |
25 minutes |
Registration for |
MBE |
Paper # |
MBE2019-21 |
Volume (vol) |
vol.119 |
Number (no) |
no.137 |
Page |
pp.13-18 |
#Pages |
6 |
Date of Issue |
2019-07-13 (MBE) |