Work

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

Year: 2024

Type: article

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.

Source: Journal of Advanced Research in Applied Sciences and Engineering Technology

DOI: 10.37934/araset.60.2.207218

Authors: Nurhafizah Mahri, Muhammad Afiq Ammar Kamaruzzaman, Marini Othman, Abdul Wahab Abdul Rahman, Raini Hassan, Ali A. Alwan

Institutions: International Islamic University Malaysia, Ramapo College

Language: English

Topic: Sleep and Work-Related Fatigue

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: hybrid

Funders: Korea Institute of Construction Technology, International Islamic University Malaysia