FTC 2017 paper presentation

FTC 2017

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.



The project had a goal to provide working implementation of psycho-demographic profiling algorithm which can be used to profile Internet users based on digital footprints they leave by using various Internet services. We provide full source code implementation in R programming language of the algorithms described in corresponding research paper.