Miner Fatigue Detection from Electroencephalogram-Based Relative Power Spectral Topography Using Convolutional Neural Network

Fatigue of miners is caused by intensive workloads, long working hours, and shift-work schedules. It is one of the major factors increasing the risk of safety problems and work mistakes. Examining the detection of miner fatigue is important because it can potentially prevent work accidents and impro...

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Principais autores:	Lili Xu, Jizu Li, Ding Feng
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2023-11-01
סדרה:	Sensors
נושאים:	fatigue detection convolutional neural network (CNN) the relative power spectral density (RPSD) deep learning EEG miners
גישה מקוונת:	https://www.mdpi.com/1424-8220/23/22/9055
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