Pregled bibliografske jedinice broj: 896507
Brain-computer interface based on steady-state visual evoked potentials
Brain-computer interface based on steady-state visual evoked potentials // Proceedings of MIPRO 2016 / Biljanović, Petar (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2016. str. 391-395 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 896507 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Brain-computer interface based on steady-state visual evoked potentials
Autori
Friganović, Krešimir ; Medved, Marko ; Cifrek, Mario
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of MIPRO 2016
/ Biljanović, Petar - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2016, 391-395
Skup
39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Mjesto i datum
Opatija, Hrvatska, 30.05.2016. - 03.06.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
brain-computer interface (BCI), steady-state visual evoked potentials (SSVEP), EEG amplifier
Sažetak
Brain computer interface (BCI) can establish communication between human brain and a computer which is independent from normal neuromuscular pathways. This allows giving instructions to the computer without the use of standard communication channels, such as a mouse or keyboard. This paper describes the development of a steady-state visual evoked potential (SSVEP) based BCI system. EEG amplifier with one bipolar channel is designed for the acquisition of raw EEG data from the posterior region of the head over the occipital lobe. The three white LED chessboards with programmable flicker frequencies are used as stimulation to induce different SSVEPs. For feature extraction, the Fourier transform of autocorrelation of the EEG signal is used. In MATLAB, a graphical user interface (GUI) application is implemented, showing the EEG signal in time and frequency domain, both in real time. Simple game of turning on and off the three light bulbs, while looking at different LED chessboard, is also implemented in GUI.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb