Human Activity Recognition (HAR) enables intelligent systems to identify human actions using modalities like cameras, wearables, and radar. This capability is critical in healthcare, providing the automated, continuous supervision necessary to improve patient safety, elderly care, and emergency response. Within this do...
Andrew Morgan, Cheng-Da Guo, Qiming Cao et al.· IEEE/ACM International Confe...· 0 citations
High-fidelity simulation of mmWave radar signals for dynamic human motion is valuable for developing radar-based human sensing models; yet collecting accurately labeled measurements for a specific deployment site remains expensive. We present HybridSim, a physics-learning hybrid simulator that synthesizes mmWave radar...
Weitao Xiong, Tianyu Liu, Peng Li et al.· 0 citations
Millimeter-wave (mmWave) radar enables privacy-preserving and illumination-robust human motion reconstruction, but training generalizable models typically requires costly paired radar-motion recordings. Simulation can scale such supervision, yet even physics-based simulators cannot fully reproduce real-world multipath,...
