Air traffic controllers' mental fatigue recognition: a multi-sensor information fusion-based deep learning approach

• Main Authors: Yu, Xiaoqing, Chen, Chun-Hsien, Yang, Haohan
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Mechanical engineering; Air Traffic Management; Fatigue Detection
• Online Access: https://hdl.handle.net/10356/171449
• Institution: Nanyang Technological University

With the growing density of air passenger traffic, accurately recognizing the level of mental fatigue (MF) experienced by air traffic controllers (ATCOs) is crucial for developing intelligent ATCOs' mental state monitoring systems, which can achieve a more effective and safer human–machine coop...