Event-related potentials emotion features of sleep-deprived and non-sleep-deprived drivers: a preliminary study

Mahri, Nurhafizah and Othman, Marini and Hassan, Raini and Abdul Rahman, Abdul Wahab and A. Alwan, Ali and Kamaruzzaman, Muhammad Afiq Ammar (2024) Event-related potentials emotion features of sleep-deprived and non-sleep-deprived drivers: a preliminary study. Journal of Advanced Research in Applied Sciences and Engineering Technology, 60 (2). pp. 207-218. ISSN 2462-1943

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Abstract

This paper explains the study of Event-Related Potentials (ERP) emotion features related to sleep-deprived and non-sleep-deprived drivers. The study's research protocol consists of four stages - initial brainwave recording, four one-minute emotional stimulation experiments for happy, fear, sad, and calm, three sets of driving tests, and baseline brainwave recording. The data collected is pre-processed and then classified using Binary Linear Regression (BLR). The BLR classification of emotion-based ERP for sleep-deprived and non-sleep-deprived signals shows 86.1% accuracy. Though this result is still at the preliminary stage, it concluded that emotion-based ERPs can be used as promising features of brain signals to detect and classify the sleep-deprived and non-sleep-deprived.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Event-related potential (ERP), mental workload, emotion recognition, binary linear regression (BLR)
Subjects:	Q Science > QP Physiology T Technology > T Technology (General) T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Dr. Nurhafizah Mahri
Date Deposited:	12 Nov 2024 14:21
Last Modified:	12 Nov 2024 14:21
URI:	http://irep.iium.edu.my/id/eprint/115784

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