[author]Yang Zhao, Neal Patwari, Jeff Phillips and Suresh Venkatasubramanian[/author]
IPSN, 2013

Abstract:

Device-free localization systems pinpoint and track people in buildings using changes in the signal strength measurements made on wireless devices in the building’s wireless 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 network. However, many such systems cannot locate stationary people. We present and evaluate a system which can locate stationary or moving people, with or without calibration, by quantifying the difference between two histograms of signal strength measurements. From five experiments, we show that our kernel distance-based radio tomographic localization system performs better than the state-of-the-art device-free localization systems in different non line-of-sight environments.

Tags: CPS 1035565