The aim of this paper is to present methods for human eye blink recognition.The main function of blinking is to spread tears across the eye and remove irratants from the surface of the cornea and conjuctiva.Blinking can be associated with internal memory processing, fatigue or activation in Baby Formula central nervous system.There are currently many methods for automatic blink detection.
The most reliable methods include EOG sidetable or EEG signals.These methods, however, are associated with a decrease in the comfort of the examined person.This paper presents a method to detect blinks with the eye-tracker device.There are currently many blink detection methods for this devices.
Two popular eye-trackers were tested in this paper.In addition a method for improving detection efficiency was proposed.