EEG (Electro-Encephalography) is the recording of electrical activity along the scalp. The EEG signals are produced by 64 electrodes along the scalp, and are the basis of any BCI system (Brain Computer Interface). BCI technology is capable of making world revolution in the way people communicate. However in order to do that many problems should be solved. One of the main problems of using EEG is eye-blinking. Eye blinking causes major disturbances affecting the EEG signals and makes it very hard to analyze. Therefore, the first step of implementing a BCI is properly detecting the eye-blinking.
Our project's goal is to develop a fully automated system for detecting eye-blinking. We need to take into account that out system (algorithm) should yield better (or at least equal) performance than the existing semi-automated system.