Controller Fatigue State Detection Based on ES-DFNN

Controller Fatigue State Detection Based on ES-DFNN

The fatiguing work of air traffic controllers inevitably threatens air traffic safety. Determining whether eyes are in an open or closed state is currently the main method for detecting fatigue in air traffic controllers. Here, an eye state recognition model based on deep-fusion neural networks is p...

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Bibliographic Details
Main Authors: Haijun Liang, Changyan Liu, Kuanming Chen, Jianguo Kong, Qicong Han, Tiantian Zhao
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Aerospace
Subjects:
air traffic control
fatigue detection
MTCNN
transfer learning
DFNN
eye selection
Online Access:https://www.mdpi.com/2226-4310/8/12/383

Internet

https://www.mdpi.com/2226-4310/8/12/383

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