engleski

Brain Computer Interface Based on Anticipatory Potentials

Brain potentials have been of scientific interest since the discovery of the EEG. Recently, interest has been expressed towards using brain signals to control various physical devices, such as home appliances, prostheses, and, in particular brain-computer interface. The control loop includes a human subject, a brain signals capturing device, a specific brain signal recognition software, a robot interface, etc. This work focuses main interest on the investigation of the possible use of expectatory anticipatory brain potentials, their provocation, acquisition, processing, and, implementation for brain-computer-robot interface. The final point of the work describes control of two robotic arms using anticipatory brain potentials. A CNV (Contingent Negative Variation in EEG) flip-flop paradigm is used to guide two robot arms to cooperatively execute the Towers of Hanoi task with three disks – TOH (3) task. The objective of this research is to verify the hypothesis that a subject can generate an oscillatory expectancy process in the brain long enough to guide seven actions of two robot arms to solve the stated problem.

EEG based control; Brain waves bioelectric control; Brain potentials taxonomy; Anticipatory brain potentials; CNV flip-flop paradigm; two-robot solution of the Towers of Hanoi puzzle

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