HumanTracker is a humanoid motion tracking benchmark for evaluating contact-rich, long-horizon whole-body tracking. It is designed to diagnose failures that are often missed by frame-wise kinematic metrics, such as unstable support, contact timing errors, and foot skating.
This repository provides HumanTracker motion clips prepared for public research use. The release preserves the four motion categories and train/test structure while using anonymized clip filenames… See the full description on the dataset page:
https://huggingface.co/datasets/dairuliu/HumanTracker.
