The article describes design process of building hybrid brain-computer interface based on Electrooculography (EOG) and center eye tracking. In first paragraph authors presented theoretical information about Electroencephalography (EEG), Electrooculography (EOG), and Eye tracking. Authors performed a literature overview concerning on hybrid BCIs. The interface was built with used of the bioactive sensors mounted on the head. Movement of industrial robot was triggered by the signal from eyes movement by EOG and eye tracking. Industrial robot was controlling via Ethernet. The built interface has been tested. Three experiments were created. In all experiments, three people aged 25-35 were involved. Recorded 30 attempts per scenario. Between attempts respondent had a 1-minute break. The investigators attempted to dump box using end of robot.
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29 October 2018
MECHATRONICS SYSTEMS AND MATERIALS 2018
4–6 June 2018
Zakopane, Poland
Research Article|
October 29 2018
Controlling the industrial robot model with the hybrid BCI based on EOG and eye tracking
Arkadiusz Kubacki;
Arkadiusz Kubacki
a)
1
Institute of Mechanical Technology, Poznan University of Technology
, 3 Piotrowo St., 60-965 Poznan, Poland
a)Corresponding author: arkadiusz.kubacki@put.poznan.pl
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Arkadiusz Jakubowski
Arkadiusz Jakubowski
b)
1
Institute of Mechanical Technology, Poznan University of Technology
, 3 Piotrowo St., 60-965 Poznan, Poland
Search for other works by this author on:
a)Corresponding author: arkadiusz.kubacki@put.poznan.pl
AIP Conf. Proc. 2029, 020032 (2018)
Citation
Arkadiusz Kubacki, Arkadiusz Jakubowski; Controlling the industrial robot model with the hybrid BCI based on EOG and eye tracking. AIP Conf. Proc. 29 October 2018; 2029 (1): 020032. https://doi.org/10.1063/1.5066494
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