Title :
Vigilance measurement system through analysis of visual and emotional driver´s signs using wavelet networks
Author :
Ines Teyeb;Olfa Jemai;Mourad Zaied;Chokri Ben Amar
Author_Institution :
REGIM-Lab: REsearch Groups in Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), BP 1173, 3038, Tunisia
Abstract :
Road safety is an important challenge for human society. Fatigue at the wheel is a serious problem causing thousands of road accidents each year. The major issue in the field of driving security systems is driver vigilance control. In this paper, we present a new method for driver´s vigilance level measurement using a multi parameter system based on head movement estimation, eyes blinking analysis and face emotion recognition based on wavelet networks classification system.
Keywords :
"Motion measurement","Fatigue","Head","Image segmentation"
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2015 15th International Conference on
Electronic_ISBN :
2164-7151
DOI :
10.1109/ISDA.2015.7489215