Study and realization of a Brain-Computer Interface based on the steady-state visual evoked potential
Brain-computer interfaces enables to a user to control a computer thanks to his cerebral activity. This concept will have many applications in medical field for physical handicaps. Brain-computer interface analyzes brain activity by means of cerebral monitoring (EEG, ECoG…) to detect neurophysiologic signals (P300, imaging movement or steady-state visual evoked potential) and send a command to the computer. Steady-state visual evoked potential are provoked by visual stimuli and oscillate at a specific frequency according to the frequencies of the stimuli or their harmonics. These neurophysiologic signals are detected above the occipital lobe, which is the visual processing center. Performances (accuracy, speed, comfort, security…) of brain-computer interfaces based on the steady-state visual evoked potential depend of the type, frequency and color of the stimuli. To find optimum parameters according to the literature and experimentation will improve performances of the brain-computer interfaces and will allow practical applications in the field of medicine.