Real-time video-based eye blink analysis for detection of low blink-rate during computer use
نویسندگان
چکیده
This paper presents an approach for real-time remote detection of eyeblink parameters. First, a combination of boosted classifiers and LucasKanade tracking is used to follow the movement of face and eyes. Then, detailed eye movement is described by normal flow. Finally, a discrete finite state machine is used to detect eye-blinks. The proposed approach is evaluated on a series of short video sequences. It shows promising eyeblink detection capabilities that could be used for software-based prevention of workplace-related disorders.
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