@article{ref1,
title="A multi-facets analysis of the driver status by EEG and fuzzy hardware processing",
journal="Conference proceedings - IEEE engineering in medicine and biology society",
year="2006",
author="Faro, A. and Giordano, D. and Spampinato, C.",
volume="1",
number="",
pages="6095-6100",
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.<p /> <p>Language: en</p>",
language="en",
issn="1557-170X",
doi="10.1109/IEMBS.2006.260749",
url="http://dx.doi.org/10.1109/IEMBS.2006.260749"
}