標題: Assessment of driver's driving performance and alertness using EEG-based fuzzy neural networks
作者: Lin, CT
Chen, YC
Wu, RC
Liang, SF
Huang, TY
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
公開日期: 2005
摘要: Traffic fatalities in recent years have become a serious concern to our society. Accidents caused by drivers' drowsiness have a high fatality rate due to the decline of drivers' abilities in perception, recognition, and vehicle control abilities while sleepy. Preventing such an accident requires a technique for detecting, estimating, and predicting the level of alertness of a driver and a mechanism to maintain the driver's maximum performance of driving. This paper proposed a system that combines electroencephalogram (EEG) power spectra estimation, independent component analysis and fuzzy neural network models to estimate drivers' cognitive state in a dynamic virtual-reality-based driving environment. Experimental results show that the quantitative driving performance can be accurately and successfully estimated through analyzing driver's EEG signals by the proposed system.
URI: http://hdl.handle.net/11536/17753
ISBN: 0-7803-8834-8
ISSN: 0271-4302
期刊: 2005 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), VOLS 1-6, CONFERENCE PROCEEDINGS
起始頁: 152
結束頁: 155
Appears in Collections:Conferences Paper