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Razvoj vmesnika možgani računalnik na osnovi premikanja oči
ID Loboda, Luka (Author), ID Jager, Franc (Mentor) More about this mentor... This link opens in a new window

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PID: 20.500.12556/rul/1139adef-fbe6-4cc8-909b-327af6b4a734

Abstract
Diplomska naloga predstavlja proces razvoja vmesnika med možgani in računalnikom (angl. brain-computer interface - BCI), ki temelji na osnovi premikanja oči. BCI sistemi zajemajo in analizirajo možgansko aktivnost ter jo pretvorijo v ustrezne ukaze. Cilj diplomske naloge je bil razviti vmesnik, ki omogoča premikanje kazalca na zaslonu. Za merjenje možganske aktivnosti smo uporabili naglavni sistem Emotiv EPOC, ki je predstavnik cenovno zelo ugodnih sistemov, ki omogočajo zajemanje elektroencefalograma (EEG). V sklopu naloge smo izdelali tudi aplikacijo za zajemanje in vizualizacijo EEG signalov ter spektrov signalov v realnem času. Aplikacijo smo uporabili za oceno različnih tehnik zavednega vplivanja na EEG signale, od katerih se je za najbolj ustrezno izkazala tehnika s premikanjem oči levo in desno. Na osnovi te tehnike smo oblikovali protokol, ki s pomočjo začetne kalibracije uporabniku omogoča premikanje kazalca na zaslonu v horizontalni smeri. Delovanje vmesnika smo preizkusili s pomočjo testiranja, v katerem so testni subjekti izvajali premike kazalca, kakor je to zahteval testni program. Testnim subjektom je v 85,5% poizkusov uspelo izvesti zahtevan premik kazalca v roku dveh sekund.

Language:Slovenian
Keywords:Vmesnik možgani-računalnik, Premikanje oči, Elektroencefalogram, Zajemanje in analiza v realnem času, Zavestno vplivanje na aktivnost možganov
Work type:Bachelor thesis/paper
Organization:FRI - Faculty of Computer and Information Science
Year:2017
PID:20.500.12556/RUL-95916 This link opens in a new window
Publication date in RUL:25.09.2017
Views:1586
Downloads:423
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Secondary language

Language:English
Title:Development of an eyes-moving based brain-computer interface
Abstract:
This diploma thesis represents a process of development of a Brain-Computer Interface (BCI) based on eyes movement. The BCI systems acquire and analyse the brain activity and convert it to suitable commands. The goal of this diploma thesis was to develop an interface that enables a user to move the cursor on the screen. For measuring the brain activities, we used the Emotiv EPOC headset, which is a representative of very affordable systems that enable acquisition of the electroencephalogram (EEG). In the scope of this thesis, we also developed an application for acquiring and visualizing the EEG signals and their spectra in real time. We used the application to assess a various of techniques of conscious influence on the EEG signals, of which the most suitable appeared to be the technique of moving the eyes to the left and right. On the basis of this technique, we defined a protocol, which using initial calibration, allows a user moving of the cursor on the screen in the horizontal direction. We tested the functionality of the interface using a test by which the test subjects performed movements of the cursor, as required by the testing program. In 85.5% of the attempts, the test subjects managed to perform the requested cursor movement within two seconds.

Keywords:Brain-computer interface, Eyes-movement, Electroencephalogram, Realtime acquiring and analysing, Conscious influence on brain activity

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