2023
DOI: 10.47852/bonviewjdsis3202983
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3D-STCNN: Spatiotemporal Convolutional Neural Network Based on EEG 3D Features for Detecting Driving Fatigue

Abstract: Fatigue driving has become one of the main causes of traffic accidents, and driving fatigue detection based on electroencephalogram (EEG) can effectively evaluate the driver’s mental state and avoid the occurrence of traffic accidents. This article evaluates a feature extraction method for extracting multiple features of EEG signals and establishes a Spatiotemporal Convolutional Neural Network (STCNN) to detect driver fatigue. Firstly, we constructed a three-dimensional feature of the EEG signal, which include… Show more

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Cited by 25 publications
(2 citation statements)
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“…Machine learning is a type of AI focused on building computer systems that learn from data, enabling software to improve its performance over time [ [25] , [26] , [27] , [28] ]. Also, ANNs are a class of statistical learning algorithms used in machine learning and cognitive science domains [ [29] , [30] , [31] , [32] , [33] ]. In this study, using ANNs and different evolutionary algorithms, parameters such as μ nf and TC were analyzed and estimated in silica-alumina-MWCNT/water–NF.…”
Section: Introductionmentioning
confidence: 99%
“…Machine learning is a type of AI focused on building computer systems that learn from data, enabling software to improve its performance over time [ [25] , [26] , [27] , [28] ]. Also, ANNs are a class of statistical learning algorithms used in machine learning and cognitive science domains [ [29] , [30] , [31] , [32] , [33] ]. In this study, using ANNs and different evolutionary algorithms, parameters such as μ nf and TC were analyzed and estimated in silica-alumina-MWCNT/water–NF.…”
Section: Introductionmentioning
confidence: 99%
“…There has been significant research to EEG (Bashivan et al, 2015 ; Zhang et al, 2019 ; Li et al, 2020 ; Peng et al, 2024 ) to combine the time-dependency feature while learning local and global features. Despite that, the approaches are useful but often come with the cost of dedicated architecture to a specific task, are computationally expensive, and cannot be generalized to different tasks.…”
Section: Introductionmentioning
confidence: 99%