research-article

RF-Identity: Non-Intrusive Person Identification Based on Commodity RFID Devices

Authors:

Dingyi FangAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 5, Issue 1

Article No.: 9, Pages 1 - 23

https://doi.org/10.1145/3448101

Published: 30 March 2021 Publication History

Abstract

Person identification plays a critical role in a large range of applications. Recently, RF based person identification becomes a hot research topic due to the contact-free nature of RF sensing that is particularly appealing in current COVID-19 pandemic. However, existing systems still have multiple limitations: i) heavily rely on the gait patterns of users for identification; ii) require a large amount of data to train the model and also extensive retraining for new users and iii) require a large frequency bandwidth which is not available on most commodity RF devices for static person identification. This paper proposes RF-Identity, an RFID-based identification system to address the above limitations and the contribution is threefold. First, by integrating walking pattern features with unique body shape features (e.g., height), RF-Identity achieves a high accuracy in person identification. Second, RF-Identity develops a data augmentation scheme to expand the size of the training data set, thus reducing the human effort in data collection. Third, RF-Identity utilizes the tag diversity in spatial domain to identify static users without a need of large frequency bandwidth. Extensive experiments show an identification accuracy of 94.2% and 95.9% for 50 dynamic and static users, respectively.

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Cited By

Chen YYu JChen YKong LZhu YChen YOkoshi TKo JLiKamWa R(2024)RFSpy: Eavesdropping on Online Conversations with Out-of-Vocabulary Words by Sensing Metal Coil Vibration of Headsets Leveraging RFIDProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661887(169-182)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3643832.3661887
Su YZhang TFeng JShi YYang XWu T(2024)Tagnoo: Enabling Smart Room-Scale Environments with RFID-Augmented PlywoodProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642356(1-18)Online publication date: 11-May-2024
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Chen YYu JKong LZhu YTang F(2024)Sensing Human Gait for Environment-Independent User Authentication Using Commodity RFID DevicesIEEE Transactions on Mobile Computing10.1109/TMC.2023.331875323:5(6304-6317)Online publication date: May-2024
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Index Terms

RF-Identity: Non-Intrusive Person Identification Based on Commodity RFID Devices
1. Human-centered computing
  1. Ubiquitous and mobile computing

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 5, Issue 1

March 2021

1272 pages

EISSN:2474-9567

DOI:10.1145/3459088

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Copyright © 2021 ACM.

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Published: 30 March 2021

Published in IMWUT Volume 5, Issue 1

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National Natural Science Foundation of China
NSFC A3 Foresight Program
the Shaanxi International Science and Technology Cooperation Program under grant agreement
the ShaanXi Science and Technology Innovation Team Support Project

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Cited By

Chen YYu JChen YKong LZhu YChen YOkoshi TKo JLiKamWa R(2024)RFSpy: Eavesdropping on Online Conversations with Out-of-Vocabulary Words by Sensing Metal Coil Vibration of Headsets Leveraging RFIDProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661887(169-182)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3643832.3661887
Su YZhang TFeng JShi YYang XWu T(2024)Tagnoo: Enabling Smart Room-Scale Environments with RFID-Augmented PlywoodProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642356(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642356
Chen YYu JKong LZhu YTang F(2024)Sensing Human Gait for Environment-Independent User Authentication Using Commodity RFID DevicesIEEE Transactions on Mobile Computing10.1109/TMC.2023.331875323:5(6304-6317)Online publication date: May-2024
https://doi.org/10.1109/TMC.2023.3318753
Xu WLiu JZhang SZheng YLin FXiao FHan J(2024)Anti-Spoofing Facial Authentication Based on COTS RFIDIEEE Transactions on Mobile Computing10.1109/TMC.2023.328970823:5(4228-4245)Online publication date: May-2024
https://doi.org/10.1109/TMC.2023.3289708
López-Soriano SMelià-Seguí JGranados J(2024)UHF RFID Wristbands: A Long-Range, Durable, Flexible, and Low-Cost Tag Antenna DesignIEEE Journal of Radio Frequency Identification10.1109/JRFID.2024.33657968(125-133)Online publication date: 2024
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Hu JJiang HLiu DXiao ZDustdar SLiu J(2024)A Wireless Self-Service System for Library Using Commodity RFID DevicesIEEE Internet of Things Journal10.1109/JIOT.2023.330146211:3(4998-5010)Online publication date: 1-Feb-2024
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Yang JYu JKong LZhu YDai H(2024)OpenAuth: Human Body-Based User Authentication Using mmWave Signals in Open-World Scenarios2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS60910.2024.00125(1330-1341)Online publication date: 23-Jul-2024
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Wang SWang LLiu W(2024)Feature decoupling and regeneration towards wifi-based human activity recognitionPattern Recognition10.1016/j.patcog.2024.110480153(110480)Online publication date: Sep-2024
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Liu YHuang WJiang SZhao BWang SWang SZhang Y(2024)TransTM: A device-free method based on time-streaming multiscale transformer for human activity recognitionDefence Technology10.1016/j.dt.2023.02.02132(619-628)Online publication date: Feb-2024
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Chen YYu JKong LKong HZhu YChen Y(2023)RF-MicProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35962597:2(1-25)Online publication date: 12-Jun-2023
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