EEG-based fatigue detection using binary pattern analysis and KNN algorithm

• Main Authors: Abd Rahman, Faridah, Roslizan, Iszan Uwais Amer, Gunawan, Teddy Surya, Fitriawan, Helmy, Kartiwi, Mira, Habaebi, Mohamed Hadi
• Format: Proceeding Paper
• Language: English; English
• Published: IEEE 2024
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/115854/7/115854_%20EEG-based%20fatigue%20detection.pdf; http://irep.iium.edu.my/115854/8/115854_%20EEG-based%20fatigue%20detection_Scopus.pdf; http://irep.iium.edu.my/115854/; https://ieeexplore.ieee.org/document/10675542; https://doi.org/10.1109/ICSIMA62563.2024.10675542

Fatigue is a prevalent issue that disrupts the overall well-being of individuals, leading to impaired cognitive functions such as learning, thinking, reasoning, remembering, and problem-solving. Chronic fatigue significantly increases the risk of accidents due to reduced focus, vigilance, and delaye...