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.
2006
1-4244-0032-5
Electroencephalography; Fuzzy logic; biosignal processing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/102432
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