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Multi-Person Localization via RF Body Reflections
Fadel Adib, Zachary Kabelac, and Dina Katabi, Massachusetts Institute of Technology
We have recently witnessed the emergence of RF-based indoor localization systems that can track user motion without requiring the user to hold or wear any device. These systems can localize a user and track his gestures by relying solely on the reflections of wireless signals off his body, and work even if the user is behind a wall or obstruction. However, in order for these systems to become practical, they need to address two main challenges: 1) They need to be able to operate in the presence of more than one user in the environment, and 2) they must be able to localize a user without requiring him to move or change his position.
This paper presents WiTrack2.0, a multi-person localization system that operates in multipath-rich indoor environments and pinpoints users’ locations based purely on the reflections of wireless signals off their bodies. WiTrack2.0 can even localize static users, and does so by sensing the minute movements due to their breathing.We built a prototype ofWiTrack2.0 and evaluated it in a standard office building. Our results show that it can localize up to five people simultaneously with a median accuracy of 11.7 cm in each of the x=y dimensions. Furthermore, WiTrack2.0 provides coarse tracking of body parts, identifying the direction of a pointing hand with a median error of 12.5º, for multiple users in the environment.
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author = {Fadel Adib and Zachary Kabelac and Dina Katabi},
title = {{Multi-Person} Localization via {RF} Body Reflections},
booktitle = {12th USENIX Symposium on Networked Systems Design and Implementation (NSDI 15)},
year = {2015},
isbn = {978-1-931971-218},
address = {Oakland, CA},
pages = {279--292},
url = {https://www.usenix.org/conference/nsdi15/technical-sessions/presentation/adib},
publisher = {USENIX Association},
month = may
}
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