{
  "id": 19156,
  "url": "https://arxiv.org/abs/2608.13555v1",
  "title": "HumanTracker: Towards Comprehensive and Human-Aligned Motion Tracking Benchmark",
  "summary": "Humanoid motion tracking is central to teleoperation and whole-body imitation, yet evaluation often disagrees with what people perceive in videos. Kinematic errors average per-frame pose differences but miss the physical artifacts that matter most, particularly unstable support and incorrect contacts such as foot skating and mistimed touch-downs. Meanwhile, widely used test suites are small and lack the diversity needed to stress contact-rich, long-horizon behaviors. We introduce HumanTracker to",
  "authors": "Dairu Liu, Zekun Qi, Jiayu Zeng, Ruixi Yu, Yu Guan, Yintianrun Zhang et al.",
  "category": "research",
  "topics": "privacy-surveillance",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-13T17:59:40.000Z",
  "fetched_at": "2026-08-14T05:10:49.168Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/19156",
  "original_url": "https://arxiv.org/abs/2608.13555v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}