TY - JOUR
T1 - Assessment of Driver's Driving Performance and Alertness Using EEG-based Fuzzy Neural Networks
AU - Lin, Chin Teng
AU - Chen, Yu Chieh
AU - Wu, Ruei Cheng
AU - Liang, Sheng Fu
AU - Huang, Teng Yi
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=34547331425&partnerID=8YFLogxK
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U2 - 10.1109/ISCAS.2005.1464547
DO - 10.1109/ISCAS.2005.1464547
M3 - Conference article
AN - SCOPUS:34547331425
SN - 0271-4310
SP - 152
EP - 155
JO - Proceedings - IEEE International Symposium on Circuits and Systems
JF - Proceedings - IEEE International Symposium on Circuits and Systems
M1 - 1464547
T2 - IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005
Y2 - 23 May 2005 through 26 May 2005
ER -