Histogram distance-based radio tomographic localization

Authors:
Yang Zhao;Neal Patwari
Affiliations:
University of Utah, Salt Lake City, UT, USA;University of Utah, Salt Lake City, UT, USA
Venue:
Proceedings of the 11th international conference on Information Processing in Sensor Networks
Year:
2012

Citing 2
Cited 1

Radio Tomographic Imaging with Wireless Networks

IEEE Transactions on Mobile Computing
See-Through Walls: Motion Tracking Using Variance-Based Radio Tomography Networks

IEEE Transactions on Mobile Computing

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

Proceedings of the 12th international conference on Information processing in sensor networks

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Abstract

We present an interactive demonstration of histogram distance-based radio tomographic imaging (HD-RTI), a device-free localization (DFL) system that uses measurements of received signal strength (RSS) on static links in a wireless network to estimate the locations of people who do not participate in the system by wearing any radio device in the deployment area. Compared to prior methods of RSS-based DFL, using a histogram difference metric is a very accurate method to quantify the change in RSS on the link compared to historical metrics. The new method is remarkably accurate, and works with lower node densities than prior methods.