A proposal on a brain-computer interface model for real-time mental fatigue intervention

Hossain, Farhad and Yaacob, Hamwira Sakti (2023) A proposal on a brain-computer interface model for real-time mental fatigue intervention. Journal of Islamic, Social, Economics and Development, 8 (55). pp. 303-315. E-ISSN 0128-1755

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Abstract

Mental fatigue (MF) is a common issue that impairs cognitive function and general well-being. Existing electroencephalogram (EEG)-based neurofeedback is time-consuming because it necessitates multiple follow-up sessions. Therefore, this paper proposes a non-invasive and personalized real-time mental fatigue intervention for online learners using Brain-Computer Interface (BCI). The model consists of two components: (1) MF detection, and (2) MF intervention. The Emotiv Insight will be used to collect EEG signals during online learning sessions. The mental fatigue detection model will be formulated based on 6 Emotiv’s Performance Metrics (EPM). To intervene, the monitor contrast will be used to reduce mental fatigue. The model will be validated based on Chalder Fatigue Questionnaire (CFQ). Future research can focus on optimizing the intervention technique and testing the effectiveness of the model in different populations.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Brain-Computer Interface, Mental Fatigue, Intervention, Electroencephalogram.
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) > T55.4 Industrial engineering.Management engineering. > T58.5 Information technology
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Dr Hamwira Yaacob
Date Deposited:	20 Oct 2023 10:50
Last Modified:	19 Dec 2023 16:39
URI:	http://irep.iium.edu.my/id/eprint/107544

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