CWSTR-Net: A Channel-Weighted Spatial–Temporal Residual Network based on nonsmooth nonnegative matrix factorization for fatigue detection using EEG signals-Reference-Cited by-同舟云学术

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CWSTR-Net: A Channel-Weighted Spatial–Temporal Residual Network based on nonsmooth nonnegative matrix factorization for fatigue detection using EEG signals

Published:2024-11 Issue: Volume:97 Page:106685
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Li Xueping,Tang Jiahao^ORCID,Li Xue,Yang Yuan

Publisher

Elsevier BV

Reference38 articles.

1. Professional drivers’ fatigue as a problem of the modern era;Davidović;Transp. Res. F,2018

2. Kaipeng Zhang, Yabo Luo, Effects of Worker Fatigue on Assembly Line Balancing, in: 2020 IEEE 11th Int. Conf. Softw. Eng. Serv. Sci. ICSESS, pp. 254–257, http://dx.doi.org/10.1109/ICSESS49938.2020.9237704.

3. Measuring and computing cognitive statuses of construction workers based on electroencephalogram: A critical review;Cheng;IEEE Trans. Comput. Soc. Syst.,2022

4. Mineworkers’ perspective of fatigue: A study of the Ghanaian mining industry;Stemn;Saf. Sci.,2023

5. EEG-based driver fatigue detection using FAWT and multiboosting approaches;Subasi;IEEE Trans. Ind. Inform.,2022

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