Abstract
Electroencephalography offers the possibility of exploring the electrical activity of the brain. A brain-computer interface system helps the neuromotor disabled persons, establishes an alternative communication pathway, and offers a non-muscular control channel without involving the peripheral nerves. The biopotentials triggered within neurons are analyzed and translated into control signals for a computer application, versatile assistive mechatronic systems, and other devices like neuroprosthesis. The EEG technique is recommended for recording the signals used by a brain-computer interface. This paper's primary purpose is to develop a software application providing a virtual simulation (“BCIRobot_VirtualSIM”) using NI LabVIEW graphical programming environment for EEG signals based on controlling some small 3D robots. This virtual instrument represents the original contribution of this paper, whose aim is to demonstrate the brain-computer interface (BCI) based operating principle. The LabVIEW application accomplished the following stages: the design of two 3D humanoid robots composed of cylindrical and rectangular geometrical shapes, the simulation of the EEG signals acquisition by inserting the raw numerical values gathered from an online source, the manual and the automatic control of the virtual humanoid robots by selecting the Knob and the Radio buttons.
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Rusanu, O.A., Rosca, I.C. (2023). A LabVIEW Application Implemented for Simulating the Working Principle of the Brain-Computer Interface. In: Auer, M.E., El-Seoud, S.A., Karam, O.H. (eds) Artificial Intelligence and Online Engineering. REV 2022. Lecture Notes in Networks and Systems, vol 524. Springer, Cham. https://doi.org/10.1007/978-3-031-17091-1_63
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