期刊
IEEE INFOCOM 2020 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS
卷 -, 期 -, 页码 307-316出版社
IEEE
DOI: 10.1109/infocom41043.2020.9155531
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资金
- National Key R&D Program of China [2018YFB0803400]
- China National Funds for Distinguished Young Scientists [61625205]
- China National Natural Science Foundation [61632010, 61772546, 61832010, 61772488, 161751211, 61520106007]
- Key Research Program of Frontier Sciences, CAS [QYZDY-SSW-JSC002]
RFID technology has recently been exploited for not only identification but also for sensing including trajectory tracking and gesture recognition. While contact-based (an RFID tag is attached to the target of interest) sensing has achieved promising results, contactless sensing still faces severe challenges such as low accuracy and the situation gets even worse when the target is non-static, restricting its applicability in real world deployment. In this work, we present TagRay, a contactless RFID-based sensing system, which significantly improves the tracking accuracy, enabling mobile object tracking and even material identification. We design and implement our prototype on commodity RFID device. Comprehensive experiments show that TagRay achieves a high accuracy of 1.3cm which is a 200% improvement over the-state-of-arts for trajectory tracking. For commonly seen four material types, the material identification accuracy is higher than 95% even with interference from people moving around.
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