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master's thesis
Sučelje za videoigre utemeljeno na analizi EEG signala
2024. urn:nbn:hr:168:357194
Krznar, Josip
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Krznar, J. (2024). Sučelje za videoigre utemeljeno na analizi EEG signala (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:357194

Krznar, Josip. "Sučelje za videoigre utemeljeno na analizi EEG signala." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:357194

Krznar, Josip. "Sučelje za videoigre utemeljeno na analizi EEG signala." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:357194

Krznar, J. (2024). 'Sučelje za videoigre utemeljeno na analizi EEG signala', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 24 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:357194

Krznar J. Sučelje za videoigre utemeljeno na analizi EEG signala [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2025 January 24] Available at: https://urn.nsk.hr/urn:nbn:hr:168:357194

J. Krznar, "Sučelje za videoigre utemeljeno na analizi EEG signala", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:357194

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Metadata
TitleSučelje za videoigre utemeljeno na analizi EEG signala
Title (english)Interface for video games based on EEG signal analysis
AuthorJosip Krznar
MentorSonja Grgić (mentor)
Committee memberSonja Grgić (predsjednik povjerenstva)
Committee memberDario Bojanjac (član povjerenstva)
Committee memberJelena Božek (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-09-13, Croatia
Abstract
Tema diplomskog rada je dizajn i implementacija sučelja mozak-računalo (BCI) temeljenog na EEG tehnologiji, koja omogućuje korisnicima upravljanje uređajima putem moždanih signala. Obrađeni su ključni koncepti, arhitektura sustava, te metode prikupljanja i obrade podataka. Testiranje na stvarnim korisnicima pokazalo je prednosti sustava, ali i izazove poput varijabilnosti moždanih signala i potrebe za visokom koncentracijom. Optimizacija sustava, kroz prilagodbu praga aktiviranja naredbi, poboljšala je stabilnost i točnost. Usporedba s EmotivPro modelom pokazala je konkurentne rezultate, uz prostor za daljnja poboljšanja. BCI sustavi pokazuju potencijal za primjenu u rehabilitaciji, kontroli uređaja i videoigrama, s potrebom daljnjeg razvoja za veću točnost i jednostavnost korištenja.
Abstract (english)
The topic of this thesis is the design and implementation of a brain-computer interface (BCI) based on EEG technology, which allows users to control devices via brain signals. Key concepts, system architecture, and data collection and processing methods are covered. Testing on real users has shown the advantages of the system, but also challenges such as the variability of brain signals and the need for high concentration. Optimization of the system, through adjustment of the command activation threshold, improved stability and accuracy. Comparison with the EmotivPro model showed competitive results, with room for further improvements. BCI systems show potential for applications in rehabilitation, device control, and video games, with the need for further development for greater accuracy and ease of use.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:357194
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2024-11-07 05:39:54