EEG and facial signal classification on real time using neural networks

The following thesis deals with a method for acquiring and classifying electrical signal originated at facil skin there is also analyzed the already implemented system by Emotiv Epoc headset tha is used for analyzing Electroencephalograhs in order to improve the system. A new method is programmed in order to allow people to write with just looking the wished letter in a modified qwerty keyboard --H. 3.