Citation

Bergasa LM, Nuevo J, Sotelo MA, Barea R, Lopez ME. IEEE Trans. Intel. Transp. Syst. 2006; 7(1): 63-77.

Copyright

(Copyright © 2006, IEEE (Institute of Electrical and Electronics Engineers))

DOI

10.1109/TITS.2006.869598

PMID

unavailable

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;