Automated recognition of mental cognitive workload through electroencephalography and a deep learning approach.

This study proposes a novel system for automatic cognitive workload identification from EEG signals. It overcomes limitations of traditional methods by integrating a pre-trained CNN with advanced features. The model processes a functional connectivit…

Preview only. Read the full abstract at the source