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.
A Multi-Facets Analysis of the Driver Status by EEG and Fuzzy Hardware Processing
GIORDANO, Daniela;SPAMPINATO, CONCETTO
2006-01-01
Abstract
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.File in questo prodotto:
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