EEG Signal Analysis for Monitoring Concentration of Operators

Ł. Rykała
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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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监测操作员浓度的脑电信号分析
机器(包括无人地面车辆 (UGV) 或工作机器)的操作人员经常被迫在不利的条件下工作,例如长时间持续高温。这对他们的注意力有很大影响,而注意力通常决定着他们能否成功完成许多任务。脑电图(EEG)可以研究大脑的电活动。例如,它可以确定操作员是否能够集中精力完成任务。文章的主要目标是开发一种通过分析脑电信号来确定大脑活动状态的算法。为此,文章介绍了脑电信号的采集方法,讨论了脑电波的基本类型,并记录了大脑活动的典型状态。特别关注了与信号分析有关的技术方面。使用 LabVIEW 环境实现了创建的算法。此外,还介绍了显示所开发的脑电信号分析仪运行情况的研究成果。
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来源期刊
Journal of Automation, Mobile Robotics and Intelligent Systems
Journal of Automation, Mobile Robotics and Intelligent Systems Engineering-Control and Systems Engineering
CiteScore
1.10
自引率
0.00%
发文量
25
期刊介绍: Fundamentals of automation and robotics Applied automatics Mobile robots control Distributed systems Navigation Mechatronics systems in robotics Sensors and actuators Data transmission Biomechatronics Mobile computing
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