Twins:Device-free Object Tracking using Passive Tags
Jinsong Han, Chen Qian, Dan Ma, Xing Wang, Jizhong Zhao, Pengfeng, Zhang, Wei Xi, Zhiping Jiang

TL;DR
This paper introduces Twins, a device-free object tracking system using passive RFID tags that exploits a novel interference phenomenon for effective motion detection and localization.
Contribution
It presents a new interference model for passive RFID tags and a practical intrusion detection scheme with a real prototype demonstrating low location error.
Findings
Average location error of 0.75 meters
Effective detection of moving objects
Validated interference model through extensive experiments
Abstract
Without requiring objects to carry any transceiver, device-free based object tracking provides a promising solution for many localization and tracking systems to monitor non-cooperative objects such as intruders. However, existing device-free solutions mainly use sensors and active RFID tags, which are much more expensive compared to passive tags. In this paper, we propose a novel motion detection and tracking method using passive RFID tags, named Twins. The method leverages a newly observed phenomenon called critical state caused by interference among passive tags. We contribute to both theory and practice of such phenomenon by presenting a new interference model that perfectly explains this phenomenon and using extensive experiments to validate it. We design a practical Twins based intrusion detection scheme and implement a real prototype with commercial off-the-shelf reader and tags.…
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Taxonomy
TopicsIndoor and Outdoor Localization Technologies · Mobile Crowdsensing and Crowdsourcing · RFID technology advancements
