DZB - Zverejnená bakalárska práca

Brain-computer interface

Autor
Kirić, Jelena
Školiteľ
Vargic, Radoslav
Oponent
Kačur, Juraj
Škola
Slovenská technická univ. v Bratislave FEI ÚMIKT (FEI)
Rok odovzdania
2021
Trvalý odkaz - CRZP
https://opac.crzp.sk/?fn=detailBiblioForm&sid=FD5533CA5E14D63E40BC68E9A2AD
Primárny jazyk
angličtina

Typ práce
Bakalárska práca

Študijný odbor
2508 | *informatika

Dátum zaslania práce do CRZP
21.06.2021

Dátum vytvorenia protokolu
21.06.2021

Dátum doručenia informácií o licenčnej zmluve
17.07.2021

Práca je zverejniteľná od
ihneď

Elektronická verzia
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Kľúčové slová (ostatné):
The usage of brain-computer interface increases more and more over the years. It is used to control external devices, wheelchairs, robots, even for gaming. One of the applications of the EEG based BCI is for spelling device, in the first place in-tended for people disabled by amyotrophic lateral sclerosis. The aim of this research was to create the P300-based BCI system for spelling in Matlab environment. For the practical part of the research, the dataset of EEG signals of 5 subjects each spelling 5-character word was used. For classifying the flashes in target and non-target groups, proposed system uses features of P300 response, its physical appearance and the time interval needed for its appearance. In the contribution we have presented several modifications of the basic algorithm and compare them with each other, and to the reference method.

Verzia systému: 6.2.61.5 z 31.03.2023 (od SVOP)