A Brief Survey: Drowsiness Detection Systems Using Different Feature Extraction Algorithms

Driver Drowsiness is one of the leading causes of road accidents. It affects the mental vigilance of the driver and reduces his personal capacity to drive a vehicle in full safety. These factors increase the risk of human errors which could involve deaths and wounds, which highlights the need to develop a system that can alert drivers of their drowsy state prior to accidents. It is important for drowsiness detection systems to identify different levels of drowsiness and respond appropriately at each level. In order to reduce the number of drowsiness-induced accidents, various researchers have been conducted with the aim of finding practical and non-invasive drowsiness detection systems by using electroencephalogram (EEG),however, the cost is still high and the use of this is uncomfortable in long time monitoring because most of them require wiring and conventional wet electrodes. The purpose of this paper is to develop a portable wireless device that can automatically detect the drowsiness in real time. The signal was sent via the wireless communication and the alarm will ring when the drowsiness occurs.