Data visualisation and data mining technology for supporting care for older people

Nubia M. Gil, Nicolas A. Hine, John L. Arnott, Julienne Hanson, Richard G. Curry, Telmo Amaral, Dorota Osipovic

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    27 Citations (Scopus)


    The overall purpose of the research discussed here is the enhancement of home-based care by revealing individual patterns in the life of a person, through modelling of the "busyness" of activity in their dwelling, so that care can be better tailored to their needs and changing circumstances. The use of data mining and on-line analytical processing (OLAP) is potentially interesting in this context because of the possibility of exploring, detecting and predicting changes in the level of activity of people's movement that may reflect change in well-being. An investigation is presented here into the use of data mining and visualisation to illustrate activity from sensor data from a trial project run in a domestic context.

    Original languageEnglish
    Title of host publicationAssets '07
    Subtitle of host publicationproceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery
    Number of pages8
    ISBN (Print)9781595935731
    Publication statusPublished - 2007
    Event9th International ACM SIGACCESS Conference on Computers and Accessibility - Tempe, United States
    Duration: 15 Oct 200717 Oct 2007


    Conference9th International ACM SIGACCESS Conference on Computers and Accessibility
    Abbreviated titleAssets 2007
    CountryUnited States
    Internet address


    • Older adults
    • Independent living
    • Assistive technology
    • Visualisation
    • Data mining
    • Home

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