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

• Main Authors: Mahri, Nurhafizah, Othman, Marini, Hassan, Raini, Abdul Rahman, Abdul Wahab, A. Alwan, Ali, Kamaruzzaman, Muhammad Afiq Ammar
• Format: Article
• Language: English
• Published: Semarak Ilmu Publishing 2024
• Subjects: QP Physiology; T Technology (General); T10.5 Communication of technical information
• Online Access: http://irep.iium.edu.my/115784/1/115784_The%20Impact%20of%20Sleep%20Deprivation%20on%20Drivers%27.pdf; http://irep.iium.edu.my/115784/; https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/article/view/5754
• Institution: Universiti Islam Antarabangsa Malaysia

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.