Developing a video game interface that uses the brain-computer interface (BCI) based on electroencephalography (EEG).
Brain-Computer Interface (BCI) is a collaboration between a brain and a device that enables signals from the brain to direct some external activity. In this project, four control actions (left, right, up, and down) will be performed in a video game using BCI. In this approach, inner speech commands will be used as the method to control the video game application. The inner speech, also referred to as verbal thinking, is a form of self-directed speech produced in mind.
One of the main steps in this project is to acquire brain signals related to inner speech. The data acquisition technique to be used is electroencephalography (EEG) which is a non-invasive data acquisition technique. It is aimed to achieve a higher level of performance by capturing the most relevant signals with the use of eight electrodes.
The signal enhancement and feature extraction will be done using signal processing techniques like signal filtering, independent component analysis (ICA), principal component analysis (PCA), wavelet transform, and fast Fourier transform (FFT). Then, signals will be classified into five categories using the artificial neural network technique as up, down, left, right, and none. These classified commands are fed into the real-time application.