Drowsy Driver Detection using Eye-Tracking through Machine Learning

• Published in: 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC) pp. 1916 - 1923
• Main Authors: S, Akshay, MB, Abhishek, D, Sudhanshu, C, Anuvaishnav
• Format: Conference Proceeding
• Language: English
• Published: IEEE 04.08.2021
• Subjects: Adaptive Boosting; Cameras; Communication systems; DLib; Driver Assistance; Driver Drowsiness; Driver Monitoring System; Eye Tracking; Feeds; Gaze tracking; Haar Cascade Classifier; HOG; Machine learning; Organizations; PERCLOS; Road accidents; SVM
• DOI: 10.1109/ICESC51422.2021.9532928

Eye tracking is one of the most useful but underutilized technologies in today's world. It can be used in a variety of ways now that the technology is available. We propose an implementation that has not been done but should be after studying several ways to process the same. In the field of Ad...