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Device-free detection of approach and departure behaviors using backscatter communication

Published: 12 September 2016 Publication History
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  • Abstract

    Smart environments and security systems require automatic detection of human behaviors including approaching to or departing from an object. Existing human motion detection systems usually require human beings to carry special devices, which limits their applications. In this paper, we present a system called APID to detect arm reaching by analyzing backscatter communication signals from a passive RFID tag on the object. APID does not require human beings to carry any device. The idea is based on the influence of human movements to the vibration of backscattered tag signals. APID is compatible with commodity off-the-shelf devices and the EPCglobal Class-1 Generation-2 protocol. In APID an commercial RFID reader continuously queries tags through emitting RF signals and tags simply respond with their IDs. A USRP monitor passively analyzes the communication signals and reports the approach and departure behaviors. We have implemented the APID system for both single-object and multi-object scenarios in both horizontal and vertical deployment modes. The experimental results show that APID can achieve high detection accuracy.

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    • (2023)Dual Antenna-Based Line Crossing Detection with UHF RFIDWireless Communications & Mobile Computing10.1155/2023/38082812023Online publication date: 1-Jan-2023
    • (2023)Battery-free Wideband Spectrum Mapping using Commodity RFID TagsProceedings of the 29th Annual International Conference on Mobile Computing and Networking10.1145/3570361.3592508(1-16)Online publication date: 10-Jul-2023
    • (2023)YAMMER: a yoga movement exercise system with UHF RFIDSecond International Conference on Electronic Information Technology (EIT 2023)10.1117/12.2685764(146)Online publication date: 15-Aug-2023
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        cover image ACM Conferences
        UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
        September 2016
        1288 pages
        ISBN:9781450344616
        DOI:10.1145/2971648
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Publication History

        Published: 12 September 2016

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        Author Tags

        1. RFID
        2. wireless sensing

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        UbiComp '16 Paper Acceptance Rate 101 of 389 submissions, 26%;
        Overall Acceptance Rate 764 of 2,912 submissions, 26%

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        Cited By

        View all
        • (2023)Dual Antenna-Based Line Crossing Detection with UHF RFIDWireless Communications & Mobile Computing10.1155/2023/38082812023Online publication date: 1-Jan-2023
        • (2023)Battery-free Wideband Spectrum Mapping using Commodity RFID TagsProceedings of the 29th Annual International Conference on Mobile Computing and Networking10.1145/3570361.3592508(1-16)Online publication date: 10-Jul-2023
        • (2023)YAMMER: a yoga movement exercise system with UHF RFIDSecond International Conference on Electronic Information Technology (EIT 2023)10.1117/12.2685764(146)Online publication date: 15-Aug-2023
        • (2023)A Generalized Method to Combat Multipaths for RFID SensingIEEE/ACM Transactions on Networking10.1109/TNET.2022.319086231:1(336-351)Online publication date: Feb-2023
        • (2022)Utilizing Tag Interference for Refined Localization of Passive RFIDIEEE Internet of Things Journal10.1109/JIOT.2021.31379689:14(12656-12672)Online publication date: 15-Jul-2022
        • (2021)Thru-the-wall Eavesdropping on Loudspeakers via RFID by Capturing Sub-mm Level VibrationProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34949755:4(1-25)Online publication date: 30-Dec-2021
        • (2019)Unobtrusive Activity Recognition and Position Estimation for Work Surfaces Using RF-Radar SensingACM Transactions on Interactive Intelligent Systems10.1145/324138310:1(1-28)Online publication date: 9-Aug-2019
        • (2019)When RFID Meets Deep LearningIEEE Wireless Communications10.1109/MWC.2019.180040526:3(19-25)Online publication date: 1-Jun-2019
        • (2019)FILM: Fine-Grained Book Localization with Mobile RFID Scanning2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS)10.1109/ICPADS47876.2019.00088(578-585)Online publication date: Dec-2019
        • (2019)Wi-Fi Imaging Based Segmentation and Recognition of Continuous ActivityCollaborative Computing: Networking, Applications and Worksharing10.1007/978-3-030-30146-0_42(623-641)Online publication date: 18-Aug-2019
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