Stefano Nitti
On the Viability of SSVEP Brain Computer Interfaces Based on Purely Imaged Stimuli.
Rel. Francesco Paolo Andriulli. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2021
Abstract
A Brain-Computer Interface (BCI) is a communication system that is able to translate the electrical activity of the brain into commands capable of driving an application. Usually the electrical potential is recorded by an electrophysiological monitoring method called Electroencephalograph (EEG), which is a device able to recognize the neural activity by means of a set of electrodes placed on the scalp of the user. In this case an EEG-based BCI system is mainly composed by 3 blocks: (1) a brain acquisition system made up of several sensors responsible for the data acquisition, (2) a computational system which extracts from the obtained data the task performed by the user, (3) a control system that elaborates these data and provides a feedback to the user.
Previous works focused on a particular BCI category that relies on Steady-State-Visual-Evoked Potentials (SSVEPs), which means that the brain signals, evaluated by the system, were triggered by external stimuli
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