An Intelligent Well-being Monitoring System for Residents in Extra Care Homes

Yanguo Jing, Mark Eastwood, Bo Tan, Alexandros Konios, Abdul Hamid, Mark Collinson

Research output: Contribution to conferencePaper

Abstract

This paper presents an on-going collaborative research project with UK based Extra Care Home provider. An innovative intelligent well-being monitoring system for extra care homes has been proposed in this paper. The novelty of this research lies in the selection of different sensors in extra care homes, how data from these sensors is used to build an intelligent well-being representation model, which can be used to monitor residents' well-being status and detect abnormality. The overall architecture of the system has been presented in the paper along with machine learning techniques, Wireless Sensing Method and system validation approach that will be used in this research.
Original languageEnglish
Publication statusAccepted/In press - 23 Apr 2017
EventInternational Conference on Internet of Things and Machine Learning - Liverpool John Moores University, Liverpool, United Kingdom
Duration: 17 Oct 201718 Oct 2017
https://bindscience.com/iml/ (Link to conference site)

Conference

ConferenceInternational Conference on Internet of Things and Machine Learning
Abbreviated titleIML 2017
CountryUnited Kingdom
CityLiverpool
Period17/10/1718/10/17
Internet address

Keywords

  • Intelligent care system
  • sensor
  • extra care homes
  • Machine learning
  • Signal processing
  • Wireless sensing system
  • activities of daily living
  • well-being model

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