Physical and Physiological Drowsiness Detection Methods

Driver drowsiness detection technologies have the ability to avoid a catastrophic accident by warning the driver of his drowsiness. A number of methods have been proposed to detect drowsiness in the past few years. These methods are categorized into two major categories. One focuses on detecting physical changes during drowsiness by image processing techniques, such as percentage of eye-closure over time, average of eye-closure speed, eye tracking as quantization of drowsiness level. Second methods focused on measuring driver’s physiological changes, Electrooculographic (EOG), or particularly, ectroencephalogram (EEG), as a means of detecting the drowsiness states To study some of the drowsiness detection methodologies proposed in the recent years is the subject of this paper.