ABSTRACT
Drowsiness or tiredness is a leading cause of accidents on the road, posing a serious threat to safety. Many accidents can be prevented if drowsy drivers can be alerted within time. Several drowsiness detection methods are available to observe drivers’ alertness during their journey and alert them if they are distracted. These methods gauges drowsiness by looking for signs like yawning, closed eyes, or unusual head movements. They also consider the driver’s physical condition and vehicle behavior. This paper offers a comprehensive analysis of the existing drowsiness detection methods and a detailed review of the common classification techniques. It first categorizes the current methods into those based on subjective, behavioral, vehicular, and physiological parameters based. Finally, it examines the strengths and weaknesses of these various methods and compares them. In conclusion, the paper summarizes the research findings from this comprehensive survey to guide other researchers toward potential future work in this field.
