CSI-Based Efficient Self-Quarantine Monitoring System Using Branchy Convolution Neural Network

Jingtao Guo, Ivan Wang Hei Ho

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Nowadays, Coronavirus disease (COVID-19) has become a global pandemic because of its fast spread in vari-ous countries. To build an anti-epidemic barrier, self-isolation is required for people who have been to any at-risk places or have been in close contact with infected people. However, existing camera or wearable device-based monitoring systems may present privacy leakage risks or cause user inconvenience in some cases. In this paper, we propose a Wi-Fi-based device-free self-quarantine monitoring system. Specifically, we exploit channel state information (CSI) derived from Wi-Fi signals as human activity features. We collect CSI data in a simulated self-quarantine scenario and present BranchyGhostNet, a lightweight convolution neural network (CNN) with an early exit prediction branch, for the efficient joint task of room occupancy detection (ROD) and human activity recognition (HAR). The early exiting branch is used for ROD, and the final one is used for HAR. Our experimental results indicate that the proposed model can achieve an average accuracy of 98.19% for classifying five different human activities. They also confirm that after leveraging the early exit prediction mechanism, the inference latency for ROD can be significantly reduced by 54.04% when compared with the final exiting branch while guaranteeing the accuracy of ROD.

Original languageEnglish
Title of host publication2022 IEEE 8th World Forum on Internet of Things, WF-IoT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781665491532
DOIs
Publication statusPublished - Jun 2022
Event8th IEEE World Forum on Internet of Things, WF-IoT 2022 - Hybrid, Yokohama, Japan
Duration: 26 Oct 202211 Nov 2022

Publication series

Name2022 IEEE 8th World Forum on Internet of Things, WF-IoT 2022

Conference

Conference8th IEEE World Forum on Internet of Things, WF-IoT 2022
Country/TerritoryJapan
CityHybrid, Yokohama
Period26/10/2211/11/22

Keywords

  • Branchy Convolutional Neural Network (CNN)
  • Channel State In-formation (CSI)
  • Early Exit Prediction
  • Human Activity Recognition (HAR)
  • Self-Quarantine Monitoring

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management
  • Energy Engineering and Power Technology

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