Fatigue State Detection Through Multiple Machine Learning Classifiers Using EEG Signal

• Main Authors: Hasan, Md Mahmudul, Hossain, Mirza Mahfuj, Norizam, Sulaiman
• Format: Article
• Language: English
• Published: Arqii Publication 2023
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/40473/1/AMS-480_Published_3_December_2023.pdf; http://umpir.ump.edu.my/id/eprint/40473/; https://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/480

Fatigued drivers can often cause long-distance accidents worldwide. Fatigue states are the primary cause of highway accidents. This study is conducted to provide a comprehensive and reliable fatigue state detection system to avoid accidents and make a good decision. Three machine learning algorithms...