A multi-facets analysis of the driver status by EEG and fuzzy hardware processing.
In the paper, EEGs are used to perform a multi facets analysis of the driver status. The EEG tracks, taken by means of electrodes installed in a basket dressed by the driver, are processed by a fuzzy model consisting of rules able to predict possible temporary driver attention deficit due to stress or disease conditions. The driving behavior is evaluated in real time by a hardware fuzzy processing. The possibility of taking into account different facets of the driver status is claimed to give rise to a driver control system with good safety and predictive features.
Faro
A
A
Dipt. di Ingegneria Inf. e Telecomun., Catania Univ., Catania, Italy. afaro@diit.unict.it
Giordano
D
D
Spampinato
C
C
D001334:Automobile Driving; D003195:Computer Communication Networks; D003201:Computers; D004566:Electrodes; D004569:Electroencephalography / Q000295:instrumentation* / Q000379:methods; D004867:Equipment Design; D017143:Fuzzy Logic; D006801:Humans; D008838:Microcomputers; D015233:Models, Statistical; D018670:Monitoring, Ambulatory / Q000295:instrumentation* / Q000379:methods; D015203:Reproducibility of Results; D012984:Software; D013686:Telemetry; D013997:Time Factors