Habitual personal movement patterns in a structured environment

Nathan Poultney, Anthony Maeder

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


    This paper presents an approach for describing personal movement patterns for typical daily activities undertaken by subjects within free living structured environments (e.g. home or office). Conventionally this requires specialized technology for personal movement monitoring involving measurement of location and motion, and results in the collection of large datasets in order to provide sufficient descriptive power. Here we advocate the preferential observation of sentinel activities based on the expectation of routine and repetitive personal movement episodes, which can be considered as 'habits'. These identified habitual patterns provide a useful context for understanding the dominant characteristics of typical daily activities, enabling purposeful design of behaviour change interventions to improve healthy living. This approach has been applied here to office stepcount data from consumer wearables.

    Original languageEnglish
    Title of host publicationTransforming Healthcare Through Innovation in Digital Health
    Subtitle of host publicationSelected Papers from Global Telehealth 2018
    EditorsJeewani Anupama Ginige, Anthony John Maeder
    Place of PublicationAmsterdam
    PublisherIOS PRESS
    Number of pages7
    ISBN (Electronic)9781614999140
    ISBN (Print)9781614999133
    Publication statusPublished - 1 Jan 2018
    EventInternational Conference on Global Telehealth - Colombo, Sri Lanka
    Duration: 10 Oct 201811 Oct 2018
    Conference number: 7

    Publication series

    NameStudies in Health Technology and Informatics
    ISSN (Print)0926-9630
    ISSN (Electronic)1879-8365


    ConferenceInternational Conference on Global Telehealth
    Abbreviated titleGT 2018
    Country/TerritorySri Lanka


    • Consumer wearable technology
    • Daily activities
    • Health behaviour
    • Personal monitoring


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