Driver Drowsiness Detection Methods: A Comprehensive survey

Abstract

Drowsy driving is one of the main causes for accidents on roads which leads to death. So, detection of fatigue of the driver and indicating it is an active research area. Most of the traditional methods followed either physiological, vehicle or behavioral based methods for drowsiness detection techniques. It is observed that some methods require sensors which are expensive while others are intrusive to the driver which distract the driving. Therefore, a real time driver's drowsiness detection system with low cost and high accuracy is an essential need. This paper presents different traditional methods used in drowsiness detection for over a decade. This study analyses different machine learning methods in drowsiness detection. It also reviews related studies in the period between 2008 and 2018 focusing on different methods used including latest machine learning techniques.