Jian-Fu Cao

A novel motor imagery brain-computer interface classification framework based on augmented covariance matrix: deep Riemannian geometry learning with self-attention mechanism

High-accuracy EEG-based driver fatigue detection using feature-coupled tensor decomposition for multimodal brain connectivity analysis

This study provides a computationally efficient framework with feature projections for multimodal EEG feature extraction in fatigue monitoring systems by integrating complementary connectivity views.