Development of a comprehensive fatigue detection model for beekeeping activities based on deep learning and EEG signals

Author:

Wang Pingan,Nam Ju-Seok,Han Xiongzhe

Funder

Rural Development Administration

Publisher

Elsevier BV

Reference61 articles.

1. Fatigue monitoring through wearables: a state-of-the-art review;Adão Martins;Front. Physiol.,2021

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3. Evaluation of physiological metrics as real-time measurement of physical fatigue in construction workers: state-of-the-art review;Anwer;J. Constr. Eng. Manag.,2021

4. Automated classification system for drowsiness detection using convolutional neural network and electroencephalogram;Balam;IET Intell. Transp. Syst.,2021

5. Aging-induced alterations in EEG spectral power associated with graded force motor tasks;Bayram;Exp. Brain Res.,2023

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