Recognition of the fatigue status of pilots using BF–PSO optimized multi-class GP classification with sEMG signals-Reference-Cited by-同舟云学术

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Recognition of the fatigue status of pilots using BF–PSO optimized multi-class GP classification with sEMG signals

Published:2020-07 Issue: Volume:199 Page:106930
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Xu Bin,Wu Qi,Xi Chen,He Ren

Funder

National Natural Science Foundation of China

Chinese Military Commission Equipment Development Department

Jiangxi Province key research and development program

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference57 articles.

1. An analysis of helicopter accident reports in Brazil from a human factors perspective;Gonçalves;Reliab Eng Syst Saf,2019

2. Fatigue in aviation;Caldwell;Travel Med Infect Dis.,2005

3. Consensus statement: fatigue and accidents in transport operations;Akerstedt;J Sleep Res,2000

4. Future directions in fatigue and safety research;Noy;Accid Anal Prev,2011

5. Review measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness;Borghini;Neurosci Biobehav Rev,2014

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1. Research on fatigue detection of flight trainees based on face EMF feature model combination with PSO-CNN algorithm;Scientific Reports;2024-09-04

2. Single-pilot operations in commercial flight: Effects on neural activity and visual behaviour under abnormalities and emergencies;Chinese Journal of Aeronautics;2024-08

3. A Review of Strategies to Detect Fatigue and Sleep Problems in Aviation: Insights from Artificial Intelligence;Archives of Computational Methods in Engineering;2024-04-18

4. Non-visual Effects Driven Fatigue Level Recognition Method for Enclosed Space Workers;Lecture Notes in Computer Science;2024

5. Research on Wavelet Packet Sample Entropy Features of sEMG Signal in Lower Limb Movement Recognition;IFIP Advances in Information and Communication Technology;2024

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