@article{ref1,
title="Real-time system for monitoring driver vigilance",
journal="IEEE transactions on intelligent transportation systems",
year="2006",
author="Bergasa, Luis Miguel and Nuevo, J. and Sotelo, M.a. and Barea, R. and Lopez, M.e.",
volume="7",
number="1",
pages="63-77",
abstract="This paper presents a nonintrusive prototype computer vision system for monitoring a driver's vigilance in real time. It is based on a hardware system for the real-time acquisition of a driver's images using an active IR illuminator and the software implementation for monitoring some visual behaviors that characterize a driver's level of vigilance. Six parameters are calculated: Percent eye closure (PERCLOS), eye closure duration, blink frequency, nodding frequency, face position, and fixed gaze. These parameters are combined using a fuzzy classifier to infer the level of inattentiveness of the driver. The use of multiple visual parameters and the fusion of these parameters yield a more robust and accurate inattention characterization than by using a single parameter. The system has been tested with different sequences recorded in night and day driving conditions in a motorway and with different users. Some experimental results and conclusions about the performance of the system are presented.   Keywords: Driver distraction;<p /> ",
language="",
issn="1524-9050",
doi="10.1109/TITS.2006.869598",
url="http://dx.doi.org/10.1109/TITS.2006.869598"
}