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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 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 languageEnglish
Title of host publication2006 IEEE International Conference on Systems, Man and Cybernetics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4916-4919
Number of pages4
ISBN (Print)1424401003, 9781424401000
DOIs
Publication statusPublished - 2006 Jan 1
Event2006 IEEE International Conference on Systems, Man and Cybernetics - Taipei, Taiwan
Duration: 2006 Oct 82006 Oct 11

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume6
ISSN (Print)1062-922X

Other

Other2006 IEEE International Conference on Systems, Man and Cybernetics
CountryTaiwan
CityTaipei
Period06-10-0806-10-11

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • 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