XGait: A Multi-Modality Wireless Sensing Dataset for Indoor Human Tracking and Identification
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
Record details
Published: 7 August 2026
Source: arXiv cs.HC
Category: Research
Topics: Privacy · Environment
Retrieved: 10 August 2026
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ethics.ai (7 August 2026), “XGait: A Multi-Modality Wireless Sensing Dataset for Indoor Human Tracking and Identification,” evidence record 17901, https://ethics.ai/record/17901 (originally published by arXiv cs.HC).
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