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Drowsiness Sensing System by Detecting Eye-blink on Android based Smartphones
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 Title & Authors
Drowsiness Sensing System by Detecting Eye-blink on Android based Smartphones
Vununu, Caleb; Seung, Teak-Young; Moon, Kwang-Seok; Lee, Suk-Hwan; Kwon, Ki-Ryong;
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 Abstract
The discussion in this paper aims to introduce an approach to detect drowsiness with Android based smartphones using the OpenCV platform tools. OpenCV for Android actually provides powerful tools for real-time body`s parts tracking. We discuss here about the maximization of the accuracy in real-time eye tracking. Then we try to develop an approach for detecting eye blink by analyzing the structure and color variations of human eyes. Finally, we introduce a time variable to capture drowsiness.
 Keywords
Eye-blink Detection;Drowsiness Sensing System;Global Maximum Point;Global Minimum Point;Closed Eyes Detection;
 Language
English
 Cited by
 References
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