EEG Signal Analysis for Monitoring Concentration of Operators

Authors

Keywords: Electroencephalography, EEG, signal processing, Fourier analysis, LabVIEW, biofeedback, operator concentration, UGV

Abstract

Often, operators of machines, including unmanned ground vehicles (UGVs) or working machines, are forced to work in unfavourable conditions, e.g. high temperatures continuously for a long period of time. This has a huge impact on their concentration, which usually determines the success of many tasks entrusted to them. Electroencephalography (EEG) allows the study of the electrical activity of the brain. It allows determining, for example, whether the operator is able to focus on the realization of his tasks. The main goal of the article was to develop an algorithm for determining the state of brain activity by analysing the EEG signal. For this purpose, methods of EEG signal acquisition were described, basic types of brain waves were discussed, and exemplary states of brain activity were recorded. Particular attention was paid to technical aspects related to signal analysis. The LabVIEW environment was used to implement the created algorithm. The results of the research showing the operation of the developed EEG signal analyser were also presented.

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Published
21.12.2023
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Articles

How to Cite

Rykała, Łukasz. (2023). EEG Signal Analysis for Monitoring Concentration of Operators. Journal of Automation, Mobile Robotics and Intelligent Systems, 17(1), 30-39. https://doi.org/10.14313/JAMRIS/1-2023/4