Titlebook: Human Mental Workload: Models and Applications; Third International Luca Longo,Maria Chiara Leva Conference proceedings 2019 Springer Natu

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Deep Learning for Automatic EEG Feature Extraction: An Application in Drivers’ Mental Workload Class receiver operating characteristic (AUC-ROC) is 0.94, achieved using the features extracted by convolutional neural network autoencoder (CNN-AE) and support vector machine. Whereas, using the features extracted by the traditional method, the highest value of AUC-ROC is 0.78 with the multi-layer perc

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從屬

Enrique Mu?oz-de-Escalona,José Juan Ca?as,Jair van Nes