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 conferencePaperpeer-review

    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
    Country/TerritoryUnited 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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