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FingerDraw: Sub-wavelength Level Finger Motion Tracking with WiFi Signals

Published: 18 March 2020 Publication History

Abstract

This paper explores the possibility of tracking finger drawings in the air leveraging WiFi signals from commodity devices. Prior solutions typically require user to hold a wireless transmitter, or need proprietary wireless hardware. They can only recognize a small set of pre-defined hand gestures. This paper introduces FingerDraw, the first sub-wavelength level finger motion tracking system using commodity WiFi devices, without attaching any sensor to finger. FingerDraw can reconstruct finger drawing trajectory such as digits, alphabets, and symbols with the setting of one WiFi transmitter and two WiFi receivers. It uses a two-antenna receiver to sense the sub-wavelength scale displacement of finger motion in each direction. The theoretical underpinning of FingerDraw is our proposed CSI-quotient model, which uses the channel quotient between two antennas of the receiver to cancel out the noise in CSI amplitude and the random offsets in CSI phase, and quantifies the correlation between CSI value dynamics and object displacement. This channel quotient is sensitive to and enables us to detect small changes in In-phase and Quadrature parts of channel state information due to finger movement. Our experimental results show that the overall median tracking accuracy is 1.27 cm, and the recognition of drawing ten digits in the air achieves an average accuracy of over 93.0%.

Supplementary Material

wu (wu.zip)
Supplemental movie, appendix, image and software files for, FingerDraw: Sub-wavelength Level Finger Motion Tracking with WiFi Signals

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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 4, Issue 1
    March 2020
    1006 pages
    EISSN:2474-9567
    DOI:10.1145/3388993
    Issue’s Table of Contents
    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: 18 March 2020
    Published in IMWUT Volume 4, Issue 1

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    Author Tags

    1. Channel Quotient
    2. Channel state information (CSI)
    3. Finger-draw gesture
    4. WiFi

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    • Research-article
    • Research
    • Refereed

    Funding Sources

    • EU CHIST-ERA RadioSense Project
    • National Key Research and Development Plan
    • Peking University Information Technology Institute (Tianjin Binhai)
    • Australian Research Council (ARC) Discovery Project

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    • (2024)Wi2DMeasure: WiFi-based 2D Object Size MeasurementProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699336(253-266)Online publication date: 4-Nov-2024
    • (2024)WiFi-CSI Difference ParadigmProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596088:2(1-29)Online publication date: 15-May-2024
    • (2024)WiProfile: Unlocking Diffraction Effects for Sub-Centimeter Target Profiling Using Commodity WiFi DevicesProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3649355(185-199)Online publication date: 29-May-2024
    • (2024)WiFi gesture recognition method based on data enhancementFourth International Conference on Machine Learning and Computer Application (ICMLCA 2023)10.1117/12.3029330(127)Online publication date: 22-May-2024
    • (2024)On the Design and Performance of QRD-Based Beamforming Feedback for Wi-Fi SensingIEEE Transactions on Wireless Communications10.1109/TWC.2023.332534523:5(5261-5271)Online publication date: May-2024
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    • (2024)HCI Research and Innovation in China: A 10-Year PerspectiveInternational Journal of Human–Computer Interaction10.1080/10447318.2024.232385840:8(1799-1831)Online publication date: 22-Mar-2024
    • (2024)Upgrade and Optimization of Motion Tracking Technology Based on Genetic AlgorithmProcedia Computer Science10.1016/j.procs.2024.10.111247(916-923)Online publication date: 2024
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