An Overview on SSVEP Based Brain Computer Interfaces

BCI is a system for communication between brain and computer, in this process the person or subject is need not to be do actual muscular activities for interaction as sending or receiving messages or commands to the computer. Electroencephalography (EEG) along the scalp is the recording of electrical activity. The system is using EEG signals for the interface with brain to the computer. One out of all visual responses Steady-state visually evoked potentials are visually evoked potentials by an external stimulus flickering at fixed frequency.  Research focused on Steady State Visual Evoked Potentials (SSVEP) base BCI widely used because of the excellent signal-to-noise ratio (SNR) and relative immunity to artifacts we can use SSVEP. According to various papers the accuracy of the SSVEP signals is very high i.e. 90 ± 8. The goal of this paper is to overview of SSVEP generated frameworks and their processing.  The system needs a headset which can capture EEG signals. Usually for generation of SSVEP signals we need at least 10 channels of the headset. There is need of very little training for use of higher ITR and high accuracy for living environment.