Ensemble-based machine learning models for vehicle drivers’ fatigue state detection utilizing EEG signals

• 主要な著者: Hasan, Md Mahmudul, Islam, Md Nahidul, Khandaker, Sayma, Norizam, Sulaiman, Islam, Ashraful, Hossain, Mirza Mahfuj
• フォーマット: 論文
• 言語: English
• 出版事項: University of Nis 2024
• 主題: TK Electrical engineering. Electronics Nuclear engineering
• オンライン･アクセス: http://umpir.ump.edu.my/id/eprint/43899/1/Ensemble-based%20machine%20learning%20models.pdf; http://umpir.ump.edu.my/id/eprint/43899/; https://doi.org/10.2298/FUEE2404671H; https://doi.org/10.2298/FUEE2404671H

Currently, there is a great extent of academic research focused on evaluating fatigue among drivers due to its growing recognition as a major contributor to vehicle tragedies. Combining advanced features and machine learning techniques, signals from the electroencephalogram (EEG) can be analyzed to...