标题: EEG-based fuzzy neural network estimator for driving performance
作者: Wu, RC
Lin, CT
Liang, SF
Huang, TY
Jung, TP
脑科学研究中心
Brain Research Center
关键字: soft computing;drowsiness;EEG;power spectrum;fuzzy neural network
公开日期: 2004
摘要: Accidents caused by drivers' drowsiness have a high fatality rate because of the marked decline in the drivers' vehicle control abilities. Preventing accidents caused by drowsiness is highly desirable but requires techniques for continuously detecting, estimating, and predicting the level. of alertness of drivers. This paper proposes a brain-machine interface that combines electroencephalographic power spectrum estimation, principal. component analysis, and fuzzy neural networks to estimate/predict drivers' drowsiness level in a virtual-reality-based driving simulator. The driving performance is defined as deviation between the center of the vehicle and the center of the cruising lane. Our results demonstrated that the proposed method is feasible to accurately estimate quantitatively driving performance in a realistic driving simulator.
URI: http://hdl.handle.net/11536/18202
ISBN: 0-7803-8566-7
ISSN: 1062-922X
期刊: 2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7
起始页: 4034
结束页: 4040
显示于类别:Conferences Paper