Application of artificial intelligence techniques for brain-computer interface in mental fatigue detection: a systematic review (2011-2022)

• Main Authors: Yaacob, Hamwira Sakti, Hossain, farhad, Shari, Sharunizam, Khare, Smith K., Ooi, Chui Ping, Acharya, Rajendra Udyavara
• Format: Article
• Language: English; English; English
• Published: Institute of Electrical and Electronics Engineers 2023
• Subjects: T58.5 Information technology
• Online Access: http://irep.iium.edu.my/105635/1/JCR_IEEE%20ACCESS_2022.pdf; http://irep.iium.edu.my/105635/19/105635_Application%20of%20artificial%20intelligence%20techniques.pdf; http://irep.iium.edu.my/105635/31/105635_Application%20of%20Artificial%20Intelligence%20Techniques%20for%20Brain-Computer%20Interface_Scopus.pdf; http://irep.iium.edu.my/105635/; https://ieeexplore.ieee.org/document/10185973
• Institution: Universiti Islam Antarabangsa Malaysia

Mental fatigue is a psychophysical condition with a significant adverse effect on daily life, compromising both physical and mental wellness. We are experiencing challenges in this fast-changing environment, and mental fatigue problems are becoming more prominent. This demands an urgent need to expl...