DocumentCode :
3540926
Title :
Assessment of driver´s driving performance and alertness using EEG-based fuzzy neural networks
Author :
Lin, Chin-Teng ; Chen, Yu-Chieh ; Wu, Ruei-Cheng ; Liang, Sheng-Fu ; Huang, Teng-Yi
Author_Institution :
Brain Res. Center, Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear :
2005
fDate :
23-26 May 2005
Firstpage :
152
Abstract :
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.
Keywords :
cognition; condition monitoring; electroencephalography; fuzzy neural nets; human factors; independent component analysis; road accidents; virtual reality; EEG power spectra estimation; EEG-based fuzzy neural networks; driver alertness monitoring; driver cognitive state estimation; driver drowsiness; driver perception; driver performance assessment; dynamic virtual-reality-based driving environment; electroencephalograms; independent component analysis; traffic accidents; vehicle control abilities; Accidents; Brain modeling; Communication system traffic control; Electroencephalography; Fuzzy control; Fuzzy neural networks; Independent component analysis; Power system modeling; State estimation; Vehicle driving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN :
0-7803-8834-8
Type :
conf
DOI :
10.1109/ISCAS.2005.1464547
Filename :
1464547
Link To Document :
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