Driver\'s Drowsiness Fatigue Detection System Based on Eye Gaze Estimation Scheme

Abstract

The accidents of traffic produce a state of disquiet to the individuals over the world, affect the main life component which is the human, and exhaust the material resources. Therefore, the proposals and solutions should be found to decrease the traffic accidents or at least determine the reasons and decrease the passive-effects and identify the core issues that lead to the traffic accidents occurrence, such as driver’s drowsiness and fatigue, road problems, vehicle breakdown, and etc. These issues need to develop effective safety systems capable of decreasing accidents by warning the driver under the various bad driving situations. Eye gaze estimation systems are one of the fundamental technologies for the upcoming driving assistance systems. This paper proposes a low-cost, passive and remote eye gaze estimation scheme to monitor the eye gaze direction of the driver in real-time, in addition to a perfect audible sound for alerting the driver. The proposed eye gaze estimation scheme shows a greater reliability, and accuracy.