Classification of blink waveforms toward the assessment of driver's arousal levels - An EOG approach and the correlation with physiological measures

Abstract

The goal of this research is to develop a method to assess the arousal states using facial images of drivers. This paper refers the preparatory study on the classification of blink waveforms obtained from electo-oculogram. The transitions of the distribution of classified blinks during a simulated driving task were studied for around fifty volunteers of both genders and a wide range of generations. It was shown that the blink class ratio supposed to be under the influence of not only the subject's drowsiness levels but also by his/her behavior to battle with drowsiness. The correlation with multidimensional physiological indices was also discussed. © Springer-Verlag Berlin Heidelberg 2007.