University of Bahrain
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Electroencephalography Signals Based Face Interaction for Directional Control System

Show simple item record Al-Qaraawi, Salih Croock, Muayad Sadik Alawi, Shahad Hussain 2019-01-27T04:50:14Z 2019-01-27T04:50:14Z 2018-05-01
dc.description.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. en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri *
dc.subject EEG signals en_US
dc.subject embedded systems en_US
dc.subject control system en_US
dc.subject Emotiv headset en_US
dc.title Electroencephalography Signals Based Face Interaction for Directional Control System en_US
dc.volume Volume 6 en_US
dc.issue Issue 2 en_US
dc.contributor.authorcountry Iraq en_US
dc.contributor.authoraffiliation Department of Computer Engineering University of Technology, Baghdad, Iraq en_US
dc.source.title International Journal of Computing and Network Technology en_US
dc.abbreviatedsourcetitle IJCNT en_US

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