Abstract
The article describes design process of a controlling an electric DC motor based on Electrooculography (EOG). In first paragraph authors presented information about Electroencephalography (EEG) and Electrooculography (EOG). Authors performed a literature overview concerning on that two techniques. In the next step, authors implemented simplified mathematical model of DC motor and PID controller. The system was built with used of the bioactive sensors mounted on the head, which was triggered by the signal from eyes movement and facial expressions. The built interface has been tested. Three experiments were created. In all three experiments, three people aged 25–35 were involved. Each of them conducted from 5 to 10 attempts each scenario. Between attempts respondent had a 1-min break. Each scenario was more difficult than before. The investigators attempted to enter a virtual red dot into the green square using only eyes movement and blinking.
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The work described in this paper was funded from 02/23/DS-PB/120 (Nowe techniki w urządzeniach mechatronicznych).
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Kubacki, A., Owczarek, P., Lindner, T. (2018). Use of Electrooculography (EOG) and Facial Expressions as Part of the Brain-Computer Interface (BCI) for Controlling an Electric DC Motor. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Automation 2018. AUTOMATION 2018. Advances in Intelligent Systems and Computing, vol 743. Springer, Cham. https://doi.org/10.1007/978-3-319-77179-3_8
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DOI: https://doi.org/10.1007/978-3-319-77179-3_8
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