Real-time monitoring and prediction of remote operator fatigue in plateau deep mining based on dynamic Bayesian networks

Real-time monitoring and prediction of remote operator fatigue in plateau deep mining based on dynamic Bayesian networks

Abstract Fatigue can cause human error, which is the main cause of accidents. In this study, the dynamic fatigue recognition of unmanned electric locomotive operators under high-altitude, cold and low oxygen conditions was studied by combining physiological signals and multi-index information. The c...

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Bibliographic Details
Main Authors: Shoukun Chen, Liya Pan, Kaili Xu, Xijian Li, Yujun Zuo, Zheng Zhou, Bin Li, Zhangyin Dai, Zhengrong Li
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Fatigue recognition
Electrocardiogram (ECG)
Electromyograph (EMG)
Eye movement (EM)
Information fusion
Dynamic Bayesian networks
Online Access:https://doi.org/10.1038/s41598-025-85316-4
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