Mutual Information Regularization for Cross-Subject Gesture Recognition Using Surface Electromyography and Acceleration
Feature fusion enables joint classification of surface electromyography (sEMG) and acceleration (ACC) signals, but classification supervision alone does not explicitly optimize statistical dependence between their learned representations. To address this gap, we propose a dual-branch gesture recognition method that com...