Zahra Rezazadeh
ABSTRACT
In this paper, an Steady State Visually Evoked Potential (SSVEP)-based Brain-Computer Interface (BCI) is designed for the purpose of navigating in a virtual environment. This BCI system is non-invasive and synchronous. It receives the Electroencephalogram (EEG) recorded from O1 and O2 channels by the means of the Emotiv EPOC Neuroheadset, as its input and gives out the results of its analysis in the form of four commands to navigate in the virtual environment. Four low-range frequencies, produced by a web-based stimulator, are used to evoke the SSVEP. Three frequencies determine directional commands (front, right and left), and the other frequency is used for completing a specific task in the virtual environment, which is built in the V. Realm Builder software. The data recorded from the headset are transferred to MATLAB via BCI2000. The Canonical Correlation Analysis (CCA) is used to process the data and the Fourier Transform to evaluate the performance of the CCA. The system is tested on four subjects and the BCI system resulted in a 62.54% average accuracy and a 10.39 bit/s average information transfer rate (ITR).
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