The personalised 'digital athlete': an evolving vision for the capture, modelling and simulation, of on-field athletic performance

Jacqueline Alderson, William Johnson

    Research output: Chapter in Book/Conference paperConference paper

    Abstract

    Technological advances in the areas of three-dimensional (3D) body scanning,
    in-vivo imaging and novel forms of motion capture and data analytics (e.g. deep
    learning neural networks) are rapidly bridging the lab versus field-based nexus
    that has historically plagued the applied sport biomechanist. Similarly,
    exponential advances in hardware and computer processing power has
    witnessed the emergence of the personalised 'digital athlete', an overarching
    vision that facilitates, via the integration of multiple technologies, real-time
    biomechanical data collection, modelling and reporting for immediate
    biofeedback.
    Original languageEnglish
    Title of host publicationProceedings of the 34th International Conference of Biomechanics in Sport
    EditorsMichiyoshi Ae, Yasushi Enomoto, Norihisa Fujii, Hideki Takagi
    Place of PublicationGermany
    PublisherInternational Society of Biomechanics in Sports
    Pages23-26
    Publication statusPublished - 2016
    Event34th International Conference on Biomechanics in Sports - Tsukuba, Japan, Tsukuba, Japan
    Duration: 18 Jul 201622 Jul 2016

    Publication series

    NameISBS Conference Proceedings Archive
    ISSN (Print)1999-4168

    Conference

    Conference34th International Conference on Biomechanics in Sports
    CountryJapan
    CityTsukuba
    Period18/07/1622/07/16

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