brain-computer-interface

SSVEP Brain Hash Function

Our goal is to create Brain Hash Algorithm able to produce robust distinction between EEG signals of different humans under electro-physiological visual feedback based on steady-state visually evoked potential (SSVEP). It can be applied at variety of tasks from user authentication at online web services to user identification for physical access control systems.

arXiv:1708.01167

In this article we present the results of our research related to the study of correlations between specific visual stimulation and the elicited brain's electro-physiological response collected by EEG sensors from a group of participants. We will look at how the various characteristics of visual stimulation affect the measured electro-physiological response of the brain and describe the optimal parameters found that elicit a steady-state visually evoked potential (SSVEP) in certain parts of the cerebral cortex where it can be reliably perceived by the electrode of the EEG device.