This article proposes a multimodal human pose reconstruction method based on 3-D ultrawideband (UWB) radar images and point clouds, aiming to improve the accuracy of human pose estimation through the fusion of radar images and point cloud data. First, a UWB 3-D imaging radar system is designed, which synchronously collects radar echo signals and optical images, constructing a multimodal dataset covering various common actions and different human characteristics. Radar data processing includes azimuth-range 2-D imaging, target locking, local 3-D imaging, discrete sampling, and maximum projectio...
