Mind Controlled Computer Game Using EEG Signals

Liew, Wai Chun (2016) Mind Controlled Computer Game Using EEG Signals. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

The aim of this thesis is to develop a mind-controlled computer game using electroencephalogram (EEG) signals. EEG signals were used to trigger the command to control the game instead of using keyboard or joystick. In the first part of this project, a suitable game which is Space Plane (Stellaria) game was developed using MATLAB software. In this game, player control the space plane and has to destroy the enemies to survive until the end. Then, ENOBIO20 device was used to acquire the EEG signals from the human scalp. EEG signals acquired from ENOBIO20 device were sent to the computer and analyzed using the NIC software via Bluetooth. Filter process was done using the NIC software to remove unwanted signal. Training process has been done to select suitable channels. 3 channels (F7, F8 and F3) were selected to acquire the EEG signals through the user eyes blinking and moving the eyebrows. Besides that, TCP/IP connection was created using MATLAB software to interface between the Neuroelectrics Instrument Controller (NIC) and MATLAB software. Then, feature extraction and classification of the EEG signals acquired in MATLAB software had performed to acquire the desired output to trigger the command to control the game. Lastly, the desired outputs were used to interface with the game as a trigger to trigger the command to control the game. In conclusion, a mind-controlled computer game using EEG signals has been successfully designed and developed. This project is essential for the disabilities user, sustainable and able to improve human living lifestyle. This technology can be extended to industries and applications or systems such as medical industry, game industry and Smart Home System.

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