Target Material Identification with Commodity RFID Devices
Author(s) -
Xinyi Li,
Chao Feng,
Nana Ding,
Ju Wang,
Jie Xiong,
Yuhui Ren,
Xiaojiang Chen,
Dingyi Fang
Publication year - 2017
Publication title -
singapore management university institutional knowledge (ink) (singapore management university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/3131348.3131352
Subject(s) - rss , radio frequency identification , intuition , computer science , identification (biology) , signal strength , key (lock) , radio frequency , embedded system , real time computing , wireless , computer security , telecommunications , world wide web , botany , biology , philosophy , epistemology
Target material identification plays an important role in many real-life applications. This paper introduces a system that can identify the material type with cheap commercial off-the-shelf (COTS) RFID devices. The key intuition is that different materials cause different amounts of phase and RSS (Received Signal Strength) changes when radio frequency (RF) signal penetrates through the target. However, without knowing either material type, trying to obtain the information is challenging. We propose a method to address this challenge and evaluate the method's performance in real-world environment. The results show that we achieve higher than 94% material identification accuracies for 10 liquids and differentiate even very similar objects such as Coke and Pepsi.
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