On an image processing of eye blinking to monitor awakening levels of human beings

Abstract

The main goal of the present study was to design and examine a system to monitor awakening levels of human beings using the image processing technique to recognize eye blinking. This problem was divided into two sub-problems; to obtain images by decreasing noises and simplify the images, and to detect whether eyes were closed or opened. A filtering technique and the automatic threshold determination method were used to solve the former sub-problem, and the automatic detection system was designed for the latter sub-problem. To examine the reliability of the designed system, a comparison between the result detected by the system and that detected by a sensor using electroencephalograms @E&) was made.

Detecting and tracking eyes by using their physiological properties, dynamics, and appearance

“…Once eyes are paired off, we can do processing to tell if someone is falling asleep by looking at how the rate of their blinking changes as has been shown possible in [1,3,5]. Blinks could be detected and statistics computed to do this by measuring the delays between blinks or whether blinks have stopped and the eyes are in fact closed.…”