engleski

Brain-computer interface based on steady-state visual evoked potentials

Brain computer interface (BCI) can establish communication between human brain and a computer which is independent from normal neuromuscular pathways. This allows giving instructions to the computer without the use of standard communication channels, such as a mouse or keyboard. This paper describes the development of a steady-state visual evoked potential (SSVEP) based BCI system. EEG amplifier with one bipolar channel is designed for the acquisition of raw EEG data from the posterior region of the head over the occipital lobe. The three white LED chessboards with programmable flicker frequencies are used as stimulation to induce different SSVEPs. For feature extraction, the Fourier transform of autocorrelation of the EEG signal is used. In MATLAB, a graphical user interface (GUI) application is implemented, showing the EEG signal in time and frequency domain, both in real time. Simple game of turning on and off the three light bulbs, while looking at different LED chessboard, is also implemented in GUI.

brain-computer interface (BCI), steady-state visual evoked potentials (SSVEP), EEG amplifier

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