標題: Driving style classification by analyzing EEG responses to unexpected obstacle dodging tasks
作者: Lin, Chin-Teng
Liang, Sheng-Fu
Chao, Wen-Hung
Ko, Li-Wei
Chao, Chih-Feng
Chen, Yu-Chich
Huang, Teng-Yi
電控工程研究所
Institute of Electrical and Control Engineering
公開日期: 2006
摘要: 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.
URI: http://hdl.handle.net/11536/17245
http://dx.doi.org/10.1109/ICSMC.2006.385084
ISBN: 978-1-4244-0099-7
ISSN: 1062-922X
DOI: 10.1109/ICSMC.2006.385084
期刊: 2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS
起始頁: 4916
結束頁: 4919
Appears in Collections:Conferences Paper


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