Event-related potentials emotion features of sleep-deprived and non-sleep-deprived drivers: a preliminary study
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,...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Semarak Ilmu Publishing
2024
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| Subjects: | |
| 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 |
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| Summary: | 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. |
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