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RFCam: Uncertainty-aware Fusion of Camera and Wi-Fi for Real-time Human Identification with Mobile Devices

Published: 07 July 2022 Publication History

Abstract

As cameras and Wi-Fi access points are widely deployed in public places, new mobile applications and services can be developed by connecting live video analytics to the mobile Wi-Fi-enabled devices of the relevant users. To achieve this, a critical challenge is to identify the person who carries a device in the video with the mobile device's network ID, e.g., MAC address. To address this issue, we propose RFCam, a system for human identification with a fusion of Wi-Fi and camera data. RFCam uses a multi-antenna Wi-Fi radio to collect CSI of Wi-Fi packets sent by mobile devices, and a camera to monitor users in the area. With low sampling rate CSI data, RFCam derives heterogeneous embedding features on location, motion, and user activity for each device over time, and fuses them with visual user features generated from video analytics to find the best matches. To mitigate the impacts of multi-user environments on wireless sensing, we develop video-assisted learning models for different features and quantify their uncertainties, and incorporate them with video analytics to rank moments and features for robust and efficient fusion. RFCam is implemented and tested in indoor environments for over 800 minutes with 25 volunteers, and extensive evaluation results demonstrate that RFCam achieves real-time identification average accuracy of 97.01% in all experiments with up to ten users, significantly outperforming existing solutions.

Supplemental Material

ZIP File - chen
Supplemental movie, appendix, image and software files for, RFCam: Uncertainty-aware Fusion of Camera and Wi-Fi for Real-time Human Identification with Mobile Devices

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  1. RFCam: Uncertainty-aware Fusion of Camera and Wi-Fi for Real-time Human Identification with Mobile Devices

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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 6, Issue 2
      June 2022
      1551 pages
      EISSN:2474-9567
      DOI:10.1145/3547347
      Issue’s Table of Contents
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      Publication History

      Published: 07 July 2022
      Published in IMWUT Volume 6, Issue 2

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      Author Tags

      1. CSI
      2. Wi-Fi
      3. activity recognition
      4. embedding
      5. human identification
      6. localization
      7. sensor fusion
      8. video analytics

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