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Oct 2026

A new method for mental workload classification with EEG connectivity maps

The classification of mental workload from electroencephalogram (EEG) signals is important for cognitive monitoring and adaptive human-machine interaction. In this work, we propose a new mental workload classification method that combines dDTF-derived EEG connectivity maps with a compact feature-learning pipeline. Mult...

Qi Cao, Hai-Yi Li, C.-C. Jay Kuo · 0 citations

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