A Hybrid System for Driver Assistance Using Computer Vision Methods

Driver fatigue and drowsiness are the causes of many road accidents. In this work, a low-cost hybrid system is proposed for determining driver fatigue level based on four metrics: last sleep quality, blinking rate, heart rate variation, and yawning. The values of these metrics were experimentally determined for two age groups (20–25 and 55–60 years) and three time intervals of a day (9:00–10:00, 12:00–14:00, and 21:00–24:00). It should be mentioned that it is not always necessary to calculate the values of the four metrics, depending on the state of the driver and the state of the vehicle. In comparison to other proposed systems, our proposed system uses the four metrics in a single system, with their measurement being interdependent. Experimental results as well as future research directions are presented in this paper.