BCI user interface

Bachelor thesis (2023)

Authors

C.N. Apawti Electrical Engineering, Mathematics and Computer Science
M. van Zijl Electrical Engineering, Mathematics and Computer Science

Contributors

Borbala Hunyadi Signal Processing Systems - EEMCS (supervisor 1)
G. Joseph Signal Processing Systems - EEMCS (supervisor 2)
Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright: © 2023 Chelsea Apawti, Marlon van Zijl
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Published Date

27-06-2023

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

This document presents the development of a user interface for an EEG motor imagery based Brain-Computer Interface (BCI) as the interface subgroup. The aim of this subgroup in the project was to design and implement a graphical user interface (GUI) incorporating visual neurofeedback to enhance the accuracy of the decode algorithm, developed by the other subgroup, during the calibration/training stage for the user such that the user will have better motor imagery control using the GUI. The GUI features two interactive games, namely pong and breakout, and incorporates topographic maps displaying the user’s brain activity. The primary goal of these maps was to improve the training process of the algorithm for each individual user. Additionally, the thesis explores the feasibility of incorporating steady-state visually evoked potential (SSVEP) elements in the games or for creating a new game that combines motor imagery and SSVEP elements allowing for more complex games to be played thus positively affecting the user experience.

Files

H3_thesis.pdf
(.pdf | 2.81 Mb)