Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
10-2017
Abstract
Target material identification plays an important role in many reallife 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.
Keywords
Commercial off-the shelves, Material identification, Material types, Radiofrequency signals, Real world environments
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
S3 '17: Proceedings of the 9th ACM Workshop on Wireless of the Students, by the Students, and for the Students, Snowbird, UT, October 20
First Page
25
Last Page
27
ISBN
9781450351454
Identifier
10.1145/3131348.3131352
Publisher
ACM
City or Country
New York
Citation
LI, Xinyi; FENG, Chao; DING, Nana; WANG, Ju; XIONG, Jie; REN, Yuhui; CHEN, Xiaojiang; and FANG, Dingyi.
Target material identification with commodity RFID devices. (2017). S3 '17: Proceedings of the 9th ACM Workshop on Wireless of the Students, by the Students, and for the Students, Snowbird, UT, October 20. 25-27.
Available at: https://ink.library.smu.edu.sg/sis_research/4397
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3131348.3131352