Radio tomographic imaging and tracking of stationary and moving people via kernel distance

@article{Zhao2013RadioTI,
  title={Radio tomographic imaging and tracking of stationary and moving people via kernel distance},
  author={Yang Zhao and Neal Patwari and Jeff M. Phillips and Suresh Venkatasubramanian},
  journal={2013 ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)},
  year={2013},
  pages={229-240}
}
Network radio frequency (RF) environment sensing (NRES) systems pinpoint and track people in buildings using changes in the signal strength measurements made by a wireless sensor network. It has been shown that such systems can locate people who do not participate in the system by wearing any radio device, even through walls, because of the changes that moving people cause to the static wireless sensor network. However, many such systems cannot locate stationary people. We present and evaluate… CONTINUE READING
Highly Cited
This paper has 109 citations. REVIEW CITATIONS

20 Figures & Tables

Topics

Statistics

02040201320142015201620172018
Citations per Year

110 Citations

Semantic Scholar estimates that this publication has 110 citations based on the available data.

See our FAQ for additional information.