An EEG-based Cognitive Fatigue Detection System
An EEG-based Cognitive Fatigue Detection System
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DOI：
10.1145/3594806.3594848
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发表时间：
2023-07
期刊：
影响因子：
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通讯作者：
Enamul Karim;Hamza Reza Pavel;Ashish Jaiswal;Mohammad Zaki Zadeh;Michail Theofanidis;G. Wylie;F. Makedon
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文献类型：
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作者：
Enamul Karim;Hamza Reza Pavel;Ashish Jaiswal;Mohammad Zaki Zadeh;Michail Theofanidis;G. Wylie;F. Makedon
精神或认知疲劳（CF）是长期认知任务带来的神经系统的精疲力尽。它导致表现在日常生活中下降。在整个本文中，我们介绍了一个实验设置，我们人为地向参与者引起认知疲劳。在实验过程中，我们从参与实验的受试者中收集了脑电图（EEG）信号。该研究的目的是检测认知疲劳的存在或不存在。我们提出的解决方案能够以88.17％的精度对受试者的认知疲劳进行分类。
Mental or Cognitive fatigue (CF) is the exhaustion of the neurological system brought on by prolonged cognitive tasks. It causes performance to decline in day-to-day life. Throughout this paper, we present an experimental setup where we artificially induce cognitive fatigue to participants. During the experimental process, we collected electroencephalogram (EEG) signals from the subjects that participated in the experiment. The goal of the study is to detect the presence or absence of cognitive fatigue. Our proposed solution was able to classify cognitive fatigue of the subjects with an accuracy of 88.17%.