Widar: Decimeter-Level Passive Tracking via Velocity Monitoring with Commodity Wi-Fi

@inproceedings{Qian2017WidarDP,
  title={Widar: Decimeter-Level Passive Tracking via Velocity Monitoring with Commodity Wi-Fi},
  author={Kun Qian and Chenshu Wu and Zheng Yang and Yunhao Liu and Kyle Jamieson},
  booktitle={MobiHoc},
  year={2017}
}
Various pioneering approaches have been proposed for Wi-Fi-based sensing, which usually employ learning-based techniques to seek appropriate statistical features, yet do not support precise tracking without prior training. Thus to advance passive sensing, the ability to track fine-grained human mobility information acts as a key enabler. In this paper, we propose Widar, a Wi-Fi-based tracking system that simultaneously estimates a human's moving velocity (both speed and direction) and location… CONTINUE READING

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Key Quantitative Results

  • Our results show that Widar achieves decimeter-level accuracy, with a median location error of 25 cm given initial positions and 38 cm without them and a median relative velocity error of 13%.

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LiFS: Low Human Effort, Device-Free Localization with Fine-Grained Subcarrier Information

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Highly Influential
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