Real-Time Human Activity Recognition System Exploiting Ubiquitous Wi-Fi Signals

Yao Ge, Kia Dashtipour, Syed Aziz Shah, Jonathan Cooper, Muhammad Ali Imran, Qammer H. Abbasi

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

Abstract

In recent years, the development of wireless network provides the hardware foundation for wireless perception within indoor environment. The wireless sensing system has been applied in many fields, such as intrusion detection, search rescue, gesture recognition and abnormal human activities detection such as falling, wandering behaviour, breathing and heart rates and so on. Among of them, Wi-Fi sensing has proven to be effective since it exploits off-the-shelf low-cost small wireless devices operating at 2.4 GHz frequency band and also a potential field for real-time sensing method for human recognition. This paper presents foundation for real-time Wi-Fi sensing system to detect various human activities when performed in indoor settings.
Original languageEnglish
Title of host publication2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings
PublisherIEEE
Pages1033-1034
Number of pages2
ISBN (Electronic)978-1-7281-4670-6
DOIs
Publication statusPublished - 16 Feb 2022
Event2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting - Singapore, Singapore
Duration: 4 Dec 202110 Dec 2021
https://2021apsursi.org/

Publication series

Name2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings

Conference

Conference2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting
Abbreviated titleAPS/URSI
Country/TerritorySingapore
CitySingapore
Period4/12/2110/12/21
Internet address

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • MIMO
  • Wi-Fi
  • Human Activity Recognition
  • Channel State Information (CSI)
  • RF signals
  • Machine Learning

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