A Survey on Drowsiness Detection Techniques

The risk for accidents in various situations, such as driving and operating heavy machinery. Therefore, the detection of drowsiness is crucial for ensuring safety and accident prevention. In recent years, there has been increasing interest in developing effective techniques for drowsiness detection. Among these, eye tracking-based techniques have emerged as a promising approach, as changes in eye movement patterns can serve as a significant indicators of drowsiness. This paper provides an overview of the current state of the art on eye tracking-based techniques for drowsiness detection. It summarizes the findings of several studies that have investigated the effectiveness of eye tracking-based techniques in detecting drowsiness. The findings suggest that eye tracking-based techniques can be a reliable and non-invasive techniques for detecting drowsiness in individuals. However, further research is needed to enhance the sensitivity of these techniques in detecting early warning signs of drowsiness in real-world scenarios. Overall, eye tracking-based techniques hold great potential for improving safety and preventing accidents in various contexts.