Drowsiness assessment using electroencephalogram in driving simulator environment

Izzat Aulia Akbar; Tomohiko Igasaki; Nobuki Murayama; Zhencheng Hu

doi:10.1109/BMEI.2015.7401497

Drowsiness assessment using electroencephalogram in driving simulator environment

Izzat Aulia Akbar, Tomohiko Igasaki, Nobuki Murayama, Zhencheng Hu

Kumamoto University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Citations (Scopus)

Abstract

Traffic accident is one of the most important problems in many countries. One of traffic accident causes is drowsiness. Many studies have been done to solve this problem. One of them is to capture the driver's face expression and estimate the driver's drowsiness. Besides measuring the driver's physiological condition and use it to predict one's drowsiness is also considered. Since drowsiness is strongly related to human brain, by assessing drowsiness using biological signal especially brain signal become the most promising approach to evaluate drowsiness. We proposed a study to investigate the relationship between drowsiness and physiological condition by employing electroencephalogram (EEG) signal and Japanese version of Karolinska sleepiness scale (KSS-J) in driving simulator environment. The result showed alpha band power of EEG signal from occipital lobe in drowsy condition (KSS-J ≥ 7) increased significantly compared with that in alert condition (KSS-J < 7) with P < 0.001. Therefore, it is suggested that EEG is effective to find the drowsiness in driving simulator environment.

Original language	English
Title of host publication	Proceedings - 2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015
Editors	Zhiyong Tao, Li Bai, Sen Lin, Jinguang Sun, Lipo Wang, Liangshan Shao
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	184-188
Number of pages	5
ISBN (Electronic)	9781509000227
DOIs	https://doi.org/10.1109/BMEI.2015.7401497
Publication status	Published - 8 Feb 2016
Externally published	Yes
Event	8th International Conference on BioMedical Engineering and Informatics, BMEI 2015 - Shenyang, China Duration: 14 Oct 2015 → 16 Oct 2015

Publication series

Name	Proceedings - 2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015

Conference

Conference	8th International Conference on BioMedical Engineering and Informatics, BMEI 2015
Country/Territory	China
City	Shenyang
Period	14/10/15 → 16/10/15

Keywords

Karolinska sleepiness scale (KSS)
driving simulator
drowsiness
electroencephalogram (EEG)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/BMEI.2015.7401497

Cite this

Akbar, I. A., Igasaki, T., Murayama, N., & Hu, Z. (2016). Drowsiness assessment using electroencephalogram in driving simulator environment. In Z. Tao, L. Bai, S. Lin, J. Sun, L. Wang, & L. Shao (Eds.), Proceedings - 2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015 (pp. 184-188). Article 7401497 (Proceedings - 2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BMEI.2015.7401497

Akbar, Izzat Aulia ; Igasaki, Tomohiko ; Murayama, Nobuki et al. / Drowsiness assessment using electroencephalogram in driving simulator environment. Proceedings - 2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015. editor / Zhiyong Tao ; Li Bai ; Sen Lin ; Jinguang Sun ; Lipo Wang ; Liangshan Shao. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 184-188 (Proceedings - 2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015).

@inproceedings{447f4a69c2ea4017b4b60828cb97dffe,

title = "Drowsiness assessment using electroencephalogram in driving simulator environment",

abstract = "Traffic accident is one of the most important problems in many countries. One of traffic accident causes is drowsiness. Many studies have been done to solve this problem. One of them is to capture the driver's face expression and estimate the driver's drowsiness. Besides measuring the driver's physiological condition and use it to predict one's drowsiness is also considered. Since drowsiness is strongly related to human brain, by assessing drowsiness using biological signal especially brain signal become the most promising approach to evaluate drowsiness. We proposed a study to investigate the relationship between drowsiness and physiological condition by employing electroencephalogram (EEG) signal and Japanese version of Karolinska sleepiness scale (KSS-J) in driving simulator environment. The result showed alpha band power of EEG signal from occipital lobe in drowsy condition (KSS-J ≥ 7) increased significantly compared with that in alert condition (KSS-J < 7) with P < 0.001. Therefore, it is suggested that EEG is effective to find the drowsiness in driving simulator environment.",

keywords = "Karolinska sleepiness scale (KSS), driving simulator, drowsiness, electroencephalogram (EEG)",

author = "Akbar, {Izzat Aulia} and Tomohiko Igasaki and Nobuki Murayama and Zhencheng Hu",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015 ; Conference date: 14-10-2015 Through 16-10-2015",

year = "2016",

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doi = "10.1109/BMEI.2015.7401497",

language = "English",

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Akbar, IA, Igasaki, T, Murayama, N & Hu, Z 2016, Drowsiness assessment using electroencephalogram in driving simulator environment. in Z Tao, L Bai, S Lin, J Sun, L Wang & L Shao (eds), Proceedings - 2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015., 7401497, Proceedings - 2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015, Institute of Electrical and Electronics Engineers Inc., pp. 184-188, 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015, Shenyang, China, 14/10/15. https://doi.org/10.1109/BMEI.2015.7401497

Drowsiness assessment using electroencephalogram in driving simulator environment. / Akbar, Izzat Aulia; Igasaki, Tomohiko; Murayama, Nobuki et al.
Proceedings - 2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015. ed. / Zhiyong Tao; Li Bai; Sen Lin; Jinguang Sun; Lipo Wang; Liangshan Shao. Institute of Electrical and Electronics Engineers Inc., 2016. p. 184-188 7401497 (Proceedings - 2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Drowsiness assessment using electroencephalogram in driving simulator environment

AU - Akbar, Izzat Aulia

AU - Igasaki, Tomohiko

AU - Murayama, Nobuki

AU - Hu, Zhencheng

PY - 2016/2/8

Y1 - 2016/2/8

N2 - Traffic accident is one of the most important problems in many countries. One of traffic accident causes is drowsiness. Many studies have been done to solve this problem. One of them is to capture the driver's face expression and estimate the driver's drowsiness. Besides measuring the driver's physiological condition and use it to predict one's drowsiness is also considered. Since drowsiness is strongly related to human brain, by assessing drowsiness using biological signal especially brain signal become the most promising approach to evaluate drowsiness. We proposed a study to investigate the relationship between drowsiness and physiological condition by employing electroencephalogram (EEG) signal and Japanese version of Karolinska sleepiness scale (KSS-J) in driving simulator environment. The result showed alpha band power of EEG signal from occipital lobe in drowsy condition (KSS-J ≥ 7) increased significantly compared with that in alert condition (KSS-J < 7) with P < 0.001. Therefore, it is suggested that EEG is effective to find the drowsiness in driving simulator environment.

AB - Traffic accident is one of the most important problems in many countries. One of traffic accident causes is drowsiness. Many studies have been done to solve this problem. One of them is to capture the driver's face expression and estimate the driver's drowsiness. Besides measuring the driver's physiological condition and use it to predict one's drowsiness is also considered. Since drowsiness is strongly related to human brain, by assessing drowsiness using biological signal especially brain signal become the most promising approach to evaluate drowsiness. We proposed a study to investigate the relationship between drowsiness and physiological condition by employing electroencephalogram (EEG) signal and Japanese version of Karolinska sleepiness scale (KSS-J) in driving simulator environment. The result showed alpha band power of EEG signal from occipital lobe in drowsy condition (KSS-J ≥ 7) increased significantly compared with that in alert condition (KSS-J < 7) with P < 0.001. Therefore, it is suggested that EEG is effective to find the drowsiness in driving simulator environment.

KW - Karolinska sleepiness scale (KSS)

KW - driving simulator

KW - drowsiness

KW - electroencephalogram (EEG)

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U2 - 10.1109/BMEI.2015.7401497

DO - 10.1109/BMEI.2015.7401497

M3 - Conference contribution

AN - SCOPUS:84964337208

T3 - Proceedings - 2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015

SP - 184

EP - 188

BT - Proceedings - 2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015

A2 - Tao, Zhiyong

A2 - Bai, Li

A2 - Lin, Sen

A2 - Sun, Jinguang

A2 - Wang, Lipo

A2 - Shao, Liangshan

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015

Y2 - 14 October 2015 through 16 October 2015

ER -

Akbar IA, Igasaki T, Murayama N, Hu Z. Drowsiness assessment using electroencephalogram in driving simulator environment. In Tao Z, Bai L, Lin S, Sun J, Wang L, Shao L, editors, Proceedings - 2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 184-188. 7401497. (Proceedings - 2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015). doi: 10.1109/BMEI.2015.7401497

Drowsiness assessment using electroencephalogram in driving simulator environment

Abstract

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Conference

Keywords

UN SDGs

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