Abstract:

A Brain-Computer Interface based on Steady-State Visual Evoked Potentials was set up. It used both frequency and phase coding. Stimulation was performed monocular to retain situational awareness. Different signal processing algorithms were compared to retrieve the user's intend, namely the DFT, LockIn Analyzer and Canonical Correlation Analysis. The comparison and performance analysis was done offline using data of 10 subjects. Afterwards, prove of concept was achieved using a 6 command BCI to control a model fork truck.