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Real-time system for monitoring driver vigilance

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5 Author(s)
Bergasa, L.M. ; Dept. of Electron., Univ. of Alcala, Madrid ; Nuevo, J. ; Sotelo, M.A. ; Barea, R.
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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

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Intelligent Transportation Systems, IEEE Transactions on  (Volume:7 ,  Issue: 1 )