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Enabling WiFi Sensing on New-generation WiFi Cards

Authors:

Daqing ZhangAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 7, Issue 4

Article No.: 205, Pages 1 - 26

https://doi.org/10.1145/3633807

Published: 12 January 2024 Publication History

Abstract

The last few years have witnessed the rapid development of WiFi sensing with a large spectrum of applications enabled. However, existing works mainly leverage the obsolete 802.11n WiFi cards (i.e., Intel 5300 and Atheros AR9k series cards) for sensing. On the other hand, the mainstream WiFi protocols currently in use are 802.11ac/ax and commodity WiFi products on the market are equipped with new-generation WiFi chips such as Broadcom BCM43794 and Qualcomm QCN5054. After conducting some benchmark experiments, we find that WiFi sensing has problems working on these new cards. The new communication features (e.g., MU-MIMO) designed to facilitate data transmissions negatively impact WiFi sensing. Conventional CSI base signals such as CSI amplitude and/or CSI phase difference between antennas which worked well on Intel 5300 802.11n WiFi card may fail on new cards. In this paper, we propose delicate signal processing schemes to make wireless sensing work well on these new WiFi cards. We employ two typical sensing applications, i.e., human respiration monitoring and human trajectory tracking to demonstrate the effectiveness of the proposed schemes. We believe it is critical to ensure WiFi sensing compatible with the latest WiFi protocols and this work moves one important step towards real-life adoption of WiFi sensing.

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Cited By

Liang XYang HGuo KQuek T(2024)Wireless Sensing Using Off-the-Shelf WiFi 6E Card2024 International Conference on Ubiquitous Communication (Ucom)10.1109/Ucom62433.2024.10695922(187-191)Online publication date: 5-Jul-2024
https://doi.org/10.1109/Ucom62433.2024.10695922
Shen JDudley JKristensson P(2023)Fast and Robust Mid-Air Gesture Typing for AR Headsets using 3D Trajectory DecodingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332021829:11(4622-4632)Online publication date: 2-Oct-2023
https://dl.acm.org/doi/10.1109/TVCG.2023.3320218

Index Terms

Enabling WiFi Sensing on New-generation WiFi Cards
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools

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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 7, Issue 4

December 2023

1613 pages

EISSN:2474-9567

DOI:10.1145/3640795

Issue’s Table of Contents

Copyright © 2024 ACM.

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Publication History

Published: 12 January 2024

Published in IMWUT Volume 7, Issue 4

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Beijing Natural Science Foundation
Youth Innovation Promotion Association, Chinese Academy of Sciences
NSFC A3 Project
PKU-NTU Collaboration Project
Beijing Nova Program
National Natural Science Foundation of China

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Cited By

Liang XYang HGuo KQuek T(2024)Wireless Sensing Using Off-the-Shelf WiFi 6E Card2024 International Conference on Ubiquitous Communication (Ucom)10.1109/Ucom62433.2024.10695922(187-191)Online publication date: 5-Jul-2024
https://doi.org/10.1109/Ucom62433.2024.10695922
Shen JDudley JKristensson P(2023)Fast and Robust Mid-Air Gesture Typing for AR Headsets using 3D Trajectory DecodingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332021829:11(4622-4632)Online publication date: 2-Oct-2023
https://dl.acm.org/doi/10.1109/TVCG.2023.3320218

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