Inferring users' online activities through traffic analysis
Proceedings of the fourth ACM conference on Wireless network security
Histogram distance-based radio tomographic localization
Proceedings of the 11th international conference on Information Processing in Sensor Networks
SCPL: indoor device-free multi-subject counting and localization using radio signal strength
Proceedings of the 12th international conference on Information processing in sensor networks
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
Device-free indoor localization using ambient radio signals
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
From RSSI to CSI: Indoor localization via channel response
ACM Computing Surveys (CSUR)
Journal of Ambient Intelligence and Smart Environments
Journal of Ambient Intelligence and Smart Environments - Context Awareness
3D tracking via body radio reflections
NSDI'14 Proceedings of the 11th USENIX Conference on Networked Systems Design and Implementation
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This paper presents a new method for imaging, localizing, and tracking motion behind walls in real time. The method takes advantage of the motion-induced variance of received signal strength measurements made in a wireless peer-to-peer network. Using a multipath channel model, we show that the signal strength on a wireless link is largely dependent on the power contained in multipath components that travel through space containing moving objects. A statistical model relating variance to spatial locations of movement is presented and used as a framework for the estimation of a motion image. From the motion image, the Kalman filter is applied to recursively track the coordinates of a moving target. Experimental results for a 34-node through-wall imaging and tracking system over a 780 square foot area are presented.