A Laboratory Based Experimental Evaluation of Ocular Parameters as Fatigue and Drowsiness Measures

Abstract

The detection and measurement of fatigue and drowsiness is a challenging job in today’s world. EOG signal analysis is a noninvasive method for evaluating the movement of eyeball in the horizontal and vertical direction. It is a feasible technique in comparison to the other physiological signal based process to determine and quantify the fatigue and drowsiness of the drivers/ operators. For this study data from fourteen participants in three different cue frequency and different time phases of a day has been acquired and three parameters like cornea pace, peak to blink ratio and blink count are evaluated on the basis of the real time signal. Based upon the experimental results, it is concluded that the fatigue and drowsiness increase with muscle stress, sleep deprivation, and the gap between the two sleep cycles.