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Augmenting User Identification with WiFi Based Gesture Recognition

Published: 18 September 2018 Publication History

Abstract

Over the last few years, researchers have proposed several WiFi based gesture recognition systems that can recognize predefined gestures performed by users at runtime. As most environments are inhabited by multiple users, the true potential of WiFi based gesture recognition can be unleashed only when each user can independently define the actions that the system should take when the user performs a certain predefined gesture. To enable this, a gesture recognition system should not only be able to recognize any given predefined gesture, but should also be able to identify the user that performed it. Unfortunately, none of the prior WiFi based gesture recognition systems can identify the user performing the gesture. In this paper, we propose WiID, a WiFi and gesture based user identification system that can identify the user as soon as he/she performs a predefined gesture at runtime. WiID integrates with the WiFi based gesture recognition systems as an add-on module whose sole objective is to identify the users that perform the predefined gestures. The design of WiID is based on our novel result which states that the timeseries of the frequencies that appear in WiFi channel's frequency response while performing a given gesture are different in the samples of that gesture performed by different users, and are similar in the samples of that gesture performed by the same user. We implemented and extensively evaluated WiID in a variety of environments using a comprehensive data set comprising over 25,000 gesture samples.

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    Published In

    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 2, Issue 3
    September 2018
    1536 pages
    EISSN:2474-9567
    DOI:10.1145/3279953
    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 September 2018
    Accepted: 01 September 2018
    Revised: 01 May 2018
    Received: 01 February 2018
    Published in IMWUT Volume 2, Issue 3

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    Author Tags

    1. Gesture recognition
    2. User identification
    3. WiFi

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    • (2024)Design and Implementation of Nursing-Secure-Care System with mmWave Radar by YOLO-v4 Computing MethodsApplied System Innovation10.3390/asi70100107:1(10)Online publication date: 19-Jan-2024
    • (2024)Adversarial AI applied to cross-user inter-domain and intra-domain adaptation in human activity recognition using wireless signalsPLOS ONE10.1371/journal.pone.029888819:4(e0298888)Online publication date: 18-Apr-2024
    • (2024)GrainSense: A Wireless Grain Moisture Sensing System Based on Wi-Fi SignalsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785898:3(1-25)Online publication date: 9-Sep-2024
    • (2024)Mission: mmWave Radar Person Identification with RGB CamerasProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699340(309-321)Online publication date: 4-Nov-2024
    • (2024)WaffleProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314587:4(1-29)Online publication date: 12-Jan-2024
    • (2024)An Imperceptible Eavesdropping Attack on WiFi Sensing SystemsIEEE/ACM Transactions on Networking10.1109/TNET.2024.340383932:5(4009-4024)Online publication date: Oct-2024
    • (2024)Toward Robust and Effective Behavior Based User Authentication With Off-the-Shelf Wi-FiIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.342836719(8731-8746)Online publication date: 1-Jan-2024
    • (2024)Cross-Scenario Device-Free Gesture Recognition Based on Parallel Adversarial NetworkIEEE Transactions on Cognitive Communications and Networking10.1109/TCCN.2023.334586910:3(893-904)Online publication date: Jun-2024
    • (2024)Adversarial Contrastive Representation Learning for Passive WiFi Fingerprinting of Individuals2024 14th International Conference on Pattern Recognition Systems (ICPRS)10.1109/ICPRS62101.2024.10677808(1-7)Online publication date: 15-Jul-2024
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