A hybrid deep learning model for detecting driver fatigue using electroencephalogram signals

• 主要な著者: Rafiuddin, Abdubrani, Mahfuzah, Mustafa, Zarith Liyana, Zahari
• フォーマット: 論文
• 言語: English
• 出版事項: Penerbit UTHM 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/43675/1/A%20Hybrid%20Deep%20Learning%20Model%20for%20Detecting%20Driver%20Fatigue%20Using%20Electroencephalogram%20Signals.pdf; http://umpir.ump.edu.my/id/eprint/43675/; https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/13925

Road accidents caused by driver fatigue are a significant public safety concern, and detecting driver fatigue is crucial for preventing such incidents. Existing methods for detecting driver fatigue are limited in their effectiveness, and there is a need for more accurate and reliable methods. This s...