Electroencephalography Signals Based Face Interaction for Directional Control System

Abstract

Recently, the Electroencephalography (EEG) signals of human brain are considered by researchers for performing different applications that can solve numerous problems. These research works tackle the problems of movements for sever disabled people. In this paper, a directional control system based on EEG signals of human brain is proposed. The EEG signals are read using a Five Channels Emotiv headset that includes seven nodes. The read EEG signals are sent using WiFi technique to the Raspberry Pi III for processing and producing directional control signals. The four movement directions are represented by indicators as a prototype to simulate the direction control, as well as the ON/OFF signal as a master key. Different case studies are considered to test the proposed system over the expected circumstances.