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- W2119868897 abstract "Driver face monitoring system is a real-time system that can detect driver fatigue and driver distraction using machine vision approaches. In this paper, a new algorithm is proposed for driver hypo-vigilance detection based on eye-region processing and without explicit eye detection stage. In this method, horizontal projection of top half-segment of facial image is used to extract symptoms of fatigue and distraction. Percentage of eye closure (PERCLOS) and eyelid distance changes during time are used for fatigue detection; and eye closure rate is used for distraction detection. The novelty of our method is in adaptive feature extraction using spatio-temporal processing without explicit eye detection. Processing rate of proposed method is more than 5 frames per second." @default.
- W2119868897 created "2016-06-24" @default.
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- W2119868897 date "2009-02-01" @default.
- W2119868897 modified "2023-09-27" @default.
- W2119868897 title "Driver Hypo-vigilance Detection Based on Eyelid Behavior" @default.
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- W2119868897 doi "https://doi.org/10.1109/icapr.2009.108" @default.
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