Driving style classification by analyzing eeg responses to unexpected obstacle dodging tasks

Chin Teng Lin; Sheng Fu Liang; Wen Hung Chao; Li Wei Ko; Chih Feng Chao; Yu Chieh Chen; Teng Yi Huang

doi:10.1109/ICSMC.2006.385084

Driving style classification by analyzing eeg responses to unexpected obstacle dodging tasks

Chin Teng Lin, Sheng Fu Liang, Wen Hung Chao, Li Wei Ko, Chih Feng Chao, Yu Chieh Chen, Teng Yi Huang

Institute of Medical Informatics

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

12 Citations (Scopus)

Abstract

Driving safely has received increasing attention of the publics due to the growing number of traffic accidents that the driver's driving style is highly correlated to many accidents. The purpose of this study is to investigate the relationship between driver's driving style and driver's ERP response. In our research, a virtual reality (VR) driving environment is developed to provide stimuli to subjects. Independent component analysis (ICA) is used to decompose the electroencephalogram (EEG) data. The power spectrum analysis of ICA components and correlation analysis are employed to investigate the EEG activities related to driving style. Experimental results demonstrate that we may classify the drivers into aggressive or gentle styles based on the observed ERP difference corresponding to the proposed unexpected obstacle dodging tasks.

Original language	English
Title of host publication	2006 IEEE International Conference on Systems, Man and Cybernetics
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4916-4919
Number of pages	4
ISBN (Print)	1424401003, 9781424401000
DOIs	https://doi.org/10.1109/ICSMC.2006.385084
Publication status	Published - 2006 Jan 1
Event	2006 IEEE International Conference on Systems, Man and Cybernetics - Taipei, Taiwan Duration: 2006 Oct 8 → 2006 Oct 11

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume	6
ISSN (Print)	1062-922X

Other

Other	2006 IEEE International Conference on Systems, Man and Cybernetics
Country/Territory	Taiwan
City	Taipei
Period	06-10-08 → 06-10-11

All Science Journal Classification (ASJC) codes

Engineering(all)

UN SDGs

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

Access to Document

10.1109/ICSMC.2006.385084

Cite this

Lin, C. T., Liang, S. F., Chao, W. H., Ko, L. W., Chao, C. F., Chen, Y. C., & Huang, T. Y. (2006). Driving style classification by analyzing eeg responses to unexpected obstacle dodging tasks. In 2006 IEEE International Conference on Systems, Man and Cybernetics (pp. 4916-4919). [4274693] (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSMC.2006.385084

Lin, Chin Teng ; Liang, Sheng Fu ; Chao, Wen Hung et al. / Driving style classification by analyzing eeg responses to unexpected obstacle dodging tasks. 2006 IEEE International Conference on Systems, Man and Cybernetics. Institute of Electrical and Electronics Engineers Inc., 2006. pp. 4916-4919 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

@inproceedings{279ed21ff74846e381ccdeef30fb8ee8,

title = "Driving style classification by analyzing eeg responses to unexpected obstacle dodging tasks",

abstract = "Driving safely has received increasing attention of the publics due to the growing number of traffic accidents that the driver's driving style is highly correlated to many accidents. The purpose of this study is to investigate the relationship between driver's driving style and driver's ERP response. In our research, a virtual reality (VR) driving environment is developed to provide stimuli to subjects. Independent component analysis (ICA) is used to decompose the electroencephalogram (EEG) data. The power spectrum analysis of ICA components and correlation analysis are employed to investigate the EEG activities related to driving style. Experimental results demonstrate that we may classify the drivers into aggressive or gentle styles based on the observed ERP difference corresponding to the proposed unexpected obstacle dodging tasks.",

author = "Lin, {Chin Teng} and Liang, {Sheng Fu} and Chao, {Wen Hung} and Ko, {Li Wei} and Chao, {Chih Feng} and Chen, {Yu Chieh} and Huang, {Teng Yi}",

year = "2006",

month = jan,

day = "1",

doi = "10.1109/ICSMC.2006.385084",

language = "English",

isbn = "1424401003",

series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "4916--4919",

booktitle = "2006 IEEE International Conference on Systems, Man and Cybernetics",

address = "United States",

note = "2006 IEEE International Conference on Systems, Man and Cybernetics ; Conference date: 08-10-2006 Through 11-10-2006",

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Lin, CT, Liang, SF, Chao, WH, Ko, LW, Chao, CF, Chen, YC & Huang, TY 2006, Driving style classification by analyzing eeg responses to unexpected obstacle dodging tasks. in 2006 IEEE International Conference on Systems, Man and Cybernetics., 4274693, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, vol. 6, Institute of Electrical and Electronics Engineers Inc., pp. 4916-4919, 2006 IEEE International Conference on Systems, Man and Cybernetics, Taipei, Taiwan, 06-10-08. https://doi.org/10.1109/ICSMC.2006.385084

Driving style classification by analyzing eeg responses to unexpected obstacle dodging tasks. / Lin, Chin Teng; Liang, Sheng Fu; Chao, Wen Hung et al.

2006 IEEE International Conference on Systems, Man and Cybernetics. Institute of Electrical and Electronics Engineers Inc., 2006. p. 4916-4919 4274693 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 6).

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

TY - GEN

T1 - Driving style classification by analyzing eeg responses to unexpected obstacle dodging tasks

AU - Lin, Chin Teng

AU - Liang, Sheng Fu

AU - Chao, Wen Hung

AU - Ko, Li Wei

AU - Chao, Chih Feng

AU - Chen, Yu Chieh

AU - Huang, Teng Yi

PY - 2006/1/1

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N2 - Driving safely has received increasing attention of the publics due to the growing number of traffic accidents that the driver's driving style is highly correlated to many accidents. The purpose of this study is to investigate the relationship between driver's driving style and driver's ERP response. In our research, a virtual reality (VR) driving environment is developed to provide stimuli to subjects. Independent component analysis (ICA) is used to decompose the electroencephalogram (EEG) data. The power spectrum analysis of ICA components and correlation analysis are employed to investigate the EEG activities related to driving style. Experimental results demonstrate that we may classify the drivers into aggressive or gentle styles based on the observed ERP difference corresponding to the proposed unexpected obstacle dodging tasks.

AB - Driving safely has received increasing attention of the publics due to the growing number of traffic accidents that the driver's driving style is highly correlated to many accidents. The purpose of this study is to investigate the relationship between driver's driving style and driver's ERP response. In our research, a virtual reality (VR) driving environment is developed to provide stimuli to subjects. Independent component analysis (ICA) is used to decompose the electroencephalogram (EEG) data. The power spectrum analysis of ICA components and correlation analysis are employed to investigate the EEG activities related to driving style. Experimental results demonstrate that we may classify the drivers into aggressive or gentle styles based on the observed ERP difference corresponding to the proposed unexpected obstacle dodging tasks.

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T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

SP - 4916

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BT - 2006 IEEE International Conference on Systems, Man and Cybernetics

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Lin CT, Liang SF, Chao WH, Ko LW, Chao CF, Chen YC et al. Driving style classification by analyzing eeg responses to unexpected obstacle dodging tasks. In 2006 IEEE International Conference on Systems, Man and Cybernetics. Institute of Electrical and Electronics Engineers Inc. 2006. p. 4916-4919. 4274693. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). doi: 10.1109/ICSMC.2006.385084

Driving style classification by analyzing eeg responses to unexpected obstacle dodging tasks

Abstract

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UN SDGs

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