Controlling the industrial robot model with the hybrid BCI based on EOG and eye tracking

Abstract

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.