2019/11/26 by Sannidhan Ms, MS, Sannidhan, Sunil Kumar Aithal S +4
Computer Science · Neuroscience · Psychology · #Computer Vision and Pattern Recognition (cs.CV) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Gaze Tracking and Assistive Technology #Sleep and Work-Related Fatigue
paper · pdf · doi:10.48550/arxiv.1912.05017
openalex publication_date 2019/11/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Computer Vision is considered to be one of the most important areas in\nresearch and has focused on developing many applications that has proved to be\nuseful for both research and societal benefits. Today we have been witnessing\nmany of the road mishaps happening just because of the lack of concentration\nwhile driving.As a part of avoiding this kind of disaster happening in day to\nday life there are many technologies focusing on keeping track of the vehicle\ndrivers concentration.One such technology uses the method of eye blink\ndetection to find out the concentration level of the driver.With the advent of\nmany high end camera devices with cost effectiveness factor today it has become\nmore efficient and cheaper to use eye blink detection for keeping track of the\nconcentration level of the driver.Hence this paper presents an exhaustive\nreview on the implementations of various eye blink detection algorithms.The\ndetection system has also extended its application in various other fields like\ndrowsiness detection and fatigue detection and expression detection.\n