Dual-Node UWB Radar for Arm Motion Recognition

Ultra Wideband (UWB) signals offer high spatio-temporal resolution, penetrability, and low cost, which facilitates accurate characterization of limb features through micro-Doppler (mD) analysis, even with micro random body movements, during the wireless contactless sensing. Due to challenges introduced by arm motions, which may be perpendicular to the radar, we introduce a dual radar arm motion recognition system with light-weighted feature extraction and appropriate data fusion. This architecture will enhance the motion characterization by integrating complementary perspectives from orthogonal radar nodes. Through proper morphological filtering and motion feature extraction, we adopt the spatio-temporal feature fusion and Doppler signatures to enhance the diverse arm motion recognition via attention-guided weighting.