@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",
}