Detection of mental fatigue state using heart rate variability and eye metrics during simulated flight
Author:
Affiliation:
1. School of Mechanical Engineering Southeast University Nanjing Jiangsu China
2. Graduate School of Information, Production and System Waseda University Kitakyushu Fukuoka Japan
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Wiley
Subject
Industrial and Manufacturing Engineering,Human Factors and Ergonomics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/hfm.20927
Reference102 articles.
1. FatigueAlert: A real‐time fatigue detection system using hybrid features and pre‐train mCNN model;Abbas Q.;IJCSNS International Journal of Computer Science and Network Security,2020
2. Aircraft Pilots Workload Analysis: Heart Rate Variability Objective Measures and NASA-Task Load Index Subjective Evaluation
3. The relationship between workload, performance and fatigue in a short-haul airline
4. A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability
5. Mental fatigue: Costs and benefits
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