Interpretable Shared‐Backbone MobileViT Framework for sEMG‐Based Hand Motion Pattern Recognition and Finger Joint Angle Prediction
A shared‐backbone sEMG‐based modeling framework built upon the MobileViT backbone, which integrates the local feature extraction capability of convolutional structures with the global dependency modeling of Transformers is proposed, offering an effective solution for human–robot interaction and rehabilitation control.