DRIVER BEHAVIOR MONITORING SYSTEM

Andriian V. Rybak

Abstract


This paper considers the system of monitoring a driver behind the wheel of a car. The main goal is to implement a system using methods of object detection and monitoring in the video data stream, which will work in real-time and will use low computing power and low power consumption for data processing. The system model consists of two parts: the selection of eye landmarks and the use of the Naive Bayes classifier to determine the driver's behavior on signs of fatigue, falling asleep, and distraction while driving.

Keywords: object recognition, face landmarks, eye aspect ratio (EAR), Naive Bayes classifier, data security.


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References


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DOI: http://dx.doi.org/10.30970/eli.16.6

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