Lightweight mmWave radar human action recognition via knowledge distillation and physically enhanced representation
This paper introduces a physically enhanced input representation module that alleviates the representation limitations of sparse mmWave radar point clouds by explicitly incorporating inter-frame centroid differences and normalized timestamps as auxiliary motion and temporal cues and employs a high-accuracy dual-branch teacher model to guide a student model.