The article describes design process of building hybrid brain-computer interface based on Electrooculography (EOG) and center eye tracking. In first paragraph author presented information about Electroencephalography (EEG) and it classification. Author performed a literature overview concerning on hybrid BCIs. In the next step, author implemented center eye tracking library. The system was built with used of the bioactive sensors mounted on the head, which was triggered by the signal from eyes movement by EOG and eye tracking. The built interface has been tested. Two experiments were created. In all experiments, three people aged 25–35 were involved. Recorded 30 attempts per scenario. Between attempts respondent had a 1-min break. The investigators attempted to enter a virtual red dot into the green square using only eyes movement and blinking.
CITATION STYLE
Kubacki, A. (2018). Hybrid brain-computer interface (BCI) based on electrooculography (EOG) and center eye tracking. In Advances in Intelligent Systems and Computing (Vol. 743, pp. 288–297). Springer Verlag. https://doi.org/10.1007/978-3-319-77179-3_27
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