EEG features for driver’s mental fatigue detection: a preliminary work

• 主要な著者: Kamaruzzaman, Muhammad Afiq 'Ammar, Othman, Marini, Hassan, Raini, Abdul Rahman, Abdul Wahab, Mahri, Nurhafizah
• フォーマット: 論文
• 言語: English
• 出版事項: IIUM Press 2023
• 主題: Q Science (General)
• オンライン･アクセス: http://irep.iium.edu.my/104330/1/104330_EEG%20features%20for%20driver%E2%80%99s%20mental%20fatigue.pdf; http://irep.iium.edu.my/104330/; https://journals.iium.edu.my/kict/index.php/IJPCC/article/view/355

Mental fatigue is one of the most typical human infirmities, resulting from an overload of work and lack of sleep which can reduce one’s intellectual resources. Different EEG features have been studied for detecting mental fatigue. This paper characterizes mental fatigue through the understanding...