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

Wei ZChen WNing SLin WLi NLian BSun XZhao J(2025)A Survey on WiFi-based Human Identification: Scenarios, Challenges, and Current SolutionsACM Transactions on Sensor Networks10.1145/370832321:1(1-32)Online publication date: 27-Jan-2025
https://dl.acm.org/doi/10.1145/3708323
Yang KZhu DHan CGuo JSun SSun L(2025)Lip-TWUID: Noninvasive Through-Wall User Identification Using SISO Radar and Lip Movement Micro-Doppler Signatures With Limited SamplesIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2025.354180774(1-17)Online publication date: 2025
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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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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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https://dl.acm.org/doi/10.1145/3708323
Yang KZhu DHan CGuo JSun SSun L(2025)Lip-TWUID: Noninvasive Through-Wall User Identification Using SISO Radar and Lip Movement Micro-Doppler Signatures With Limited SamplesIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2025.354180774(1-17)Online publication date: 2025
https://doi.org/10.1109/TIM.2025.3541807
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https://dl.acm.org/doi/10.1145/3699727
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
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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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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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