{
  "id": 17901,
  "url": "https://arxiv.org/abs/2608.07064v1",
  "title": "XGait: A Multi-Modality Wireless Sensing Dataset for Indoor Human Tracking and Identification",
  "summary": "Wireless sensing has emerged as a promising approach for tracking and identification using commodity Internet of Things devices. However, the features derived from a single wireless modality are often fragile to variations in environmental layouts and walking trajectories. Furthermore, most existing studies are based on datasets collected in specific scenarios with limited trajectory diversity and sensing modalities, preventing a robust evaluation of system generalization. \\textcolor{blue}{To ad",
  "authors": "Wei Xu, Zhu Wang, Yifan Guo, Changlong Cheng, Yin Zhang, Zhihui Ren, Bin Guo, Zhiwen yu",
  "category": "research",
  "topics": "privacy-surveillance,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-07T10:13:45.000Z",
  "fetched_at": "2026-08-10T05:10:00.488Z",
  "source_slug": "x-arxiv-cs-hc",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/17901",
  "original_url": "https://arxiv.org/abs/2608.07064v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}