Radio tomographic imaging and tracking of stationary and moving people via kernel distance
Proceedings of the 12th international conference on Information processing …, 2013•dl.acm.org
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 a system which can …
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 a system which can …
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 a system which can locate stationary or moving people, without calibration, by using kernel distance to quantify 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 NRES systems in different non line-of-sight environments.
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