Thesis Details

Analýza a klasifikace dat ze snímače mozkové aktivity

Master's Thesis Student: Persich Alexandr Academic Year: 2019/2020 Supervisor: Szőke Igor, Ing., Ph.D.
English title
Data Analysis and Clasification from the Brain Activity Detector
Language
Czech
Abstract

This thesis describes recording, processing and classifying brain activity which is being captured by a brain-computer interface (BCI) device manufactured by OpenBCI company. Possibility of use of such a device for controlling an application with brain activity, specifically with thinking of left or right hand movement, is discussed. To solve this task methods of signal processing and machine learning are used. As a result a program that is capable of recording, processing and classifying brain activity using an artificial neural network is created. An average accuracy of classification of synthetic data is 99.156%. An average accuracy of classification of real data is 73.71%. 

Keywords

elektroencefalography, EEG, brain-computer interface, BCI, OpenBCI, machine learning, neural network, classification

Department
Degree Programme
Information Technology, Field of Study Information Technology Security
Files
Status
defended, grade B
Date
16 July 2020
Reviewer
Committee
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT), předseda
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Lengál Ondřej, Ing., Ph.D. (DITS FIT BUT), člen
Malinka Kamil, Mgr., Ph.D. (DITS FIT BUT), člen
Polčák Libor, Ing., Ph.D. (DIFS FIT BUT), člen
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Citation
PERSICH, Alexandr. Analýza a klasifikace dat ze snímače mozkové aktivity. Brno, 2020. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-07-16. Supervised by Szőke Igor. Available from: https://www.fit.vut.cz/study/thesis/22257/
BibTeX
@mastersthesis{FITMT22257,
    author = "Alexandr Persich",
    type = "Master's thesis",
    title = "Anal\'{y}za a klasifikace dat ze sn\'{i}ma\v{c}e mozkov\'{e} aktivity",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/22257/"
}
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