Reproduce “RadPose: ISAC-based RF 3D Human Pose Estimation” on OpenResearch

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About this paper

Geo Jie Zhou, Kunzhe Song, Ruxin Lin, Huacheng Zeng

RadPose estimates a person’s 3D pose from a communication device’s own full-duplex OFDM transmissions, converting their reflections into radio point clouds and refining a skeleton across frames. On four unseen scenes in the authors’ dataset, it records 18.8 cm MPJPE versus 61.4 cm for mmDiff on the same dataset. This demonstrates held-out-scene performance in a prototype evaluation, not arbitrary-environment or commercial-device capability.

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