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A comparative and critical study of EEGNet for fNIRS-driven cognitive load classification

https://doi.org/10.2139/ssrn.7422880
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Unanticipated evolution of cardio-respiratory interactions with cognitive load during a Go-NoGo shooting task in virtual reality
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Independent component analysis applied to feature extraction from colour and stereo images
inferredcites →https://doi.org/10.1088/1741-2552/aace8copenalex-snapshot
EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces
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A Comprehensive Survey of EEG Preprocessing Methods for Cognitive Load Assessment
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Deep Learning for EMG-based Human-Machine Interaction: A Review
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Limitations of subjective cognitive load measures in simulation‐based procedural training
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Classification of Driver Cognitive Load in Conditionally Automated Driving: Utilizing Electrocardiogram-Based Spectrogram with Lightweight Neural Network
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