A Multimodal Gesture Recognition Framework Using sEMG and ACC Signals with Cross-Temporal Attention and Mutual Information Regularization
Surface electromyography (sEMG), which reflects temporal muscle activity, has been widely applied in gesture recognition and human-computer interaction. However, single-modal sEMG signals are susceptible to factors such as electrode displacement, inter-subject variability, and noise, which limit recognition performance...