Diverse Spatial-Temporal Feature Enhancement and Adaptive Fusion Network for Device-Free Gesture Recognition Under Limited Labeled Data
Deep learning (DL) has shown significant potential in device-free gesture recognition (DFGR), enabling contactless device control and intuitive human–robot interaction. However, DL-based methods usually require a large number of labeled samples for training. Since the collection of annotations for radar signals is time...