Prior work in eye track project has already calculated the perclose value based on the EAR value. But the perclose threshold and frame number are still problem left in eye detection. In this project, a test program was used to determine what threshold should be taken for accurate eye blink counts and perclose calculation. Considering the eyelid vibration, the number of frames is taken into consideration to get a average value for perclose calculation. In fact, an exploration with penalty and Q-learning is a possible solution for the program to self-adjust all these parameters. In our project, this thought is left for possible future exploration.
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