<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Often, operators of machines, including unmanned ground vehicles (UGVs) or working machines, are forced to work in unfavorable conditions, such as 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 the determination, for example, of whether the operator is able to focus on the realization of his tasks. The main goal of this article was to develop an algorithm for determining the state of brain activity by analyzing the EEG signal. For this purpose, methods of EEG signal acquisition and processing were described, including EEG equipment and types and location of electrodes. Particular attention was paid to EEG signal acquisition, EEG signal artifacts, and disturbances, and elements of the adult’s correct EEG recording were described in detail. In order to develop the algorithm mentioned, basic types of brain waves were discussed, and exemplary states of brain activity were recorded. The influence of technical aspects on the recording of EEG signals was also emphasized. Additionally, a block diagram was created which is the basis for the operation of the said algorithm. The LabVIEW environment was used to implement the created algorithm. The results of the research showing the operation of the developed EEG signal analyzer were also presented. Based on the results of the study, the EEG analyzer was able to accurately determine the condition of the examined person and could be used to study the concentration of machine operators.</p>
</abstract>

Often, operators of machines, including unmanned ground vehicles (UGVs) or working machines, are forced to work in unfavorable conditions, such as 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 the determination, for example, of whether the operator is able to focus on the realization of his tasks. The main goal of this article was to develop an algorithm for determining the state of brain activity by analyzing the EEG signal. For this purpose, methods of EEG signal acquisition and processing were described, including EEG equipment and types and location of electrodes. Particular attention was paid to EEG signal acquisition, EEG signal artifacts, and disturbances, and elements of the adult’s correct EEG recording were described in detail. In order to develop the algorithm mentioned, basic types of brain waves were discussed, and exemplary states of brain activity were recorded. The influence of technical aspects on the recording of EEG signals was also emphasized. Additionally, a block diagram was created which is the basis for the operation of the said algorithm. The LabVIEW environment was used to implement the created algorithm. The results of the research showing the operation of the developed EEG signal analyzer were also presented. Based on the results of the study, the EEG analyzer was able to accurately determine the condition of the examined person and could be used to study the concentration of machine operators.

EEG Signal Analysis Formonitoring Concentration of Operators

Journal of Automation, Mobile Robotics and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"EEG Signal Analysis Formonitoring Concentration of Operators"}

Often, operators of machines, including unmanned ground vehicles (UGVs) or working machines, are forced to work in unfavorable conditions, such as high...

EEG Signal Analysis Formonitoring Concentration of Operators

Publicado en línea: 26 dic 2023

Páginas: 30 - 39

Recibido: 09 ago 2022

Aceptado: 29 sept 2022

DOI: https://doi.org/10.14313/jamris/1-2023/4

Palabras clave
Electroencephalography, EEG, signal processing, Fourier analysis, LabVIEW, biofeedback, operator concentration, UGV

© 2023 Łukasz Rykała, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

EEG Signal Analysis Formonitoring Concentration of Operators

Publicado en línea: 26 dic 2023

Páginas: 30 - 39

Recibido: 09 ago 2022

Aceptado: 29 sept 2022

DOI: https://doi.org/10.14313/jamris/1-2023/4

Palabras claveElectroencephalography, EEG, signal processing, Fourier analysis, LabVIEW, biofeedback, operator concentration, UGV

© 2023 Łukasz Rykała, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Palabras clave
Electroencephalography, EEG, signal processing, Fourier analysis, LabVIEW, biofeedback, operator concentration, UGV