Opportunistic physical activity monitoring via passive WiFi radar

Wenda Li, Bo Tan, Robert J. Piechocki, Ian Craddock

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

17 Citations (Scopus)

Abstract

Physical activity envelope provides invaluable information in numerous pervasive health applications. Physical activity is traditionally gleaned using a range of wearable inertial sensors and/or video technology. This paper introduces a novel opportunistic and non-intrusive monitoring system which can quantify activity levels based on analysis of ambient WiFi signal scatter. A real-time signal processing framework is developed, and the proposed system is implemented in software defined radio platform. Experimental results corroborate the efficacy of the proposed system in long term ADL monitoring in residential healthcare applications.

Original languageEnglish
Title of host publication2016 IEEE 18th International Conference on e-Health Networking, Applications and Services, Healthcom 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)978-1-5090-3370-6
ISBN (Print)978-1-5090-3371-3
DOIs
Publication statusPublished - 18 Nov 2016
Externally publishedYes
Event18th IEEE International Conference on e-Health Networking, Applications and Services - Munich, Germany
Duration: 14 Sept 201617 Sept 2016

Conference

Conference18th IEEE International Conference on e-Health Networking, Applications and Services
Abbreviated titleHealthcom 2016
Country/TerritoryGermany
CityMunich
Period14/09/1617/09/16

Keywords

  • ADL
  • eHealth
  • passive radar
  • physical activity recognition
  • WiFi Radar

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Health(social science)
  • Health Informatics

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