Cross-session classification of mental workload levels using EEG and an adaptive deep learning model

An adaptive Stacked Denoising AutoEncoder is developed to tackling such cross-session MW classification task in which the weights of the shallow hidden neurons could be adaptively updated during the testing procedure, and results indicate a higher performance of the adaptive SDAE in dealing with the cross- session EEG features.