@article{Saifan_2016, title={Proactive Driver Alert System (PDAS) for Drowsy Drivers}, volume={5}, url={https://centreofexcellence.net/index.php/JSS/article/view/jss.2016.5.1.42.55}, DOI={10.25255/jss.2016.5.1.42.55}, abstractNote={<p>Sleep is master, is an old anecdote which means when the human is sleepy, then all senses become out of control. For example, the driver loses the focus when falls sleepy which causes accidents. Driver drowsiness is a main cause for traffic accidents. Therefore, many automobile companies tried to help in detecting drowsy drivers and alert them before they commit accidents. In this paper, we are going to develop a Drowsy Driver Safety System prototype to watch the driver, and generate an audio alert when the driver is drowsy, to keep the driver in contact, and avoid any consequences.</p> <p> There exist some drowsiness detection systems. Most of them tend to detect drowsiness using techniques such as steering behavior, lane tracking, eye detection, yawning state or a combination of them. In this paper, we also track the driver eye which is similar to some others. But, we suggested new techniques like driver’s hand tension, which is also a considerable feature for drowsiness detection. We also use a supplementary technique based on the relationship between the speed and the drift angle of the car to detect drowsy divers. </p>}, number={1}, journal={Journal of Social Sciences (COES&RJ-JSS)}, author={Saifan, Ramzi}, year={2016}, month={Jan.}, pages={42–55} }