Thesis Details

Řízení virtuálního robota pomocí EEG

Bachelor's Thesis Student: Drla Michal Academic Year: 2020/2021 Supervisor: Tinka Jan, Ing.
English title
Virtual Robot Control Using EEG
Language
Czech
Abstract

This bachelor thesis aimed to create an application where is user able to control the virtual robot with an EEG signal. The thesis contains a brief introduction that explains how BCI systems which are using EEG work. This introduction not only explains the basics of EEG analysis but also explains brain biology and shows different signals which are extractable from the brain. This thesis also explains the theory of neural networks which are used to implement the analysis. In implementation are shown scripts that were used to collect data and there is also shown the design of the neural network. Results of testing are good, the neural network was making correct decisions and the user was able to control the virtual robot. 

Keywords

BCI, EEG, neural networks, perceptron, analysis of EEG, clasification of data, CNN, RNN

Department
Degree Programme
Information Technology
Files
Status
defended, grade D
Date
17 June 2021
Reviewer
Committee
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY FIT BUT), předseda
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Citation
DRLA, Michal. Řízení virtuálního robota pomocí EEG. Brno, 2021. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-17. Supervised by Tinka Jan. Available from: https://www.fit.vut.cz/study/thesis/23568/
BibTeX
@bachelorsthesis{FITBT23568,
    author = "Michal Drla",
    type = "Bachelor's thesis",
    title = "\v{R}\'{i}zen\'{i} virtu\'{a}ln\'{i}ho robota pomoc\'{i} EEG",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2021,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/23568/"
}
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