The present work is oriented to offer a communication via to the many people who undergo of a severe loss of function motorboat as a result of different accidents and/or diseases, so that they can control and interact better with his environment, for which an brain-computer interface has been implemented through the acquisition of EEG signals by electrodes, implementation of algorithms to extract characteristics and to execute a method of classification of such way to interpret these signals and to execute corresponding actions. The first objective to design and to construct to a System of Communication and Control Based on the Thought able to catch and to measures EEG signals. The second objective is to implement the system of data acquisition including a digital filter in real time that allows us to eliminate the noise. The third objective is to analyze the variation of the EEG signals...

The Brain Computer Interface (BCI) is a communication instrument between mental or cognitive human function and the external environment, this mental function is created by the brain; the signals are captured, pre-processed and put into a classifier. This article aims to implement and compare the algorithms based on different methods of EEG signal processing for BCI applications that currently exist, in order to find methods whose algorithms provide better results.