Hu, J., Jiang, H., Liu, D., Xiao, Z., Dustdar, S., & Liu, J. (2024). A Wireless Self-Service System for Library Using Commodity RFID Devices. IEEE Internet of Things Journal, 11(3), 4998–5010. https://doi.org/10.1109/JIOT.2023.3301462
Human-computer interaction (HCI); machine learning; RFID
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Abstract:
Self-service libraries need self-service book collection and monitoring of book quality to improve user experience This paper proposes a privacy-preserving alternative RFbook, a book classification and moisture sensing system formed from an array of passive commercial RFID tags. We have three key observations in designing RFbook for such benefits. The first observation is that when tags are in the vicinity, their interrogation currents can alter each other’s circuit properties, based on which unique phase and amplitude signatures can be obtained from the backscattered signal. The second observation is that books with different thicknesses and sizes of material will have different signal features. Finally, we found that changes in book humidity are reflected in the reader’s received signal strength (RSS). To turn the high-level idea into a practical system, we built a prototype of RFbook and conducted comprehensive experiments to evaluate the system’s performance. The experimental results show that RFbook can distinguish different types of books with an average accuracy rate higher than 96% and monitor the humidity change of the book.
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Project (external):
National Natural Science Foundation of China National Natural Science Foundation of China National Key Research and Development Program of China Key Research and Development Project of Hunan Province of China Key Research and Development Project of Hunan Province of China Hunan Natural Science Foundation of China Open Research Fund from Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) Open Research Fund from Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) Shenzhen Science and Technology Program Guangdong Basic and Applied Basic Research Foundation
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Project ID:
Grant 62272152 Grant U20A20181 Grant 2022YFE0137700 Grant 2022GK2020 Grant 2021WK2001 Grant 2022JJ30171 Grant GML-KF-22-22 Grant GML-KF-22-23 Grant CYJ20220530160408019 Grant 2023A1515011915