Artifact

Abstract

Developing millimeter-wave (mmWave) radar applications, particularly for human pose estimation (HPE), often requires substantial manual effort to build custom code for data access, visualization, and model training. In addition, the lack of shared dataset formats and module interfaces makes it difficult to reproduce results and to compare different systems under consistent preprocessing and evaluation settings. To address these challenges, we provide two toolkits, mwCore and mwPose3d, released alongside our paper [1] : mwCore [2] and mwPose3d [3]. Together, these artifacts provide a unified pipeline for processing radar point clouds, evaluating state-of-the-art tracking and HPE models, and deploying online applications via inference from streaming radar data, e.g., device-free gaming.