AMUC: Associated motion capture user categories

Sally Jane Norman, Sian E.M. Lawson, Patrick Olivier, Paul Watson, Anita M.A. Chan, Martyn Dade-Robertson, Paul Dunphy, Dave Green, Hugo Hiden, Jonathan Hook, Daniel G. Jackson

    Research output: Contribution to journalArticleResearchpeer-review

    4 Citations (Scopus)


    The AMUC (Associated Motion capture User Categories) project consisted of building a prototype sketch retrieval client for exploring motion capture archives. High-dimensional datasets reflect the dynamic process of motion capture and comprise high-rate sampled data of a performer's joint angles; in response to multiple query criteria, these data can potentially yield different kinds of information. The AMUC prototype harnesses graphic input via an electronic tablet as a query mechanism, time and position signals obtained from the sketch being mapped to the properties of data streams stored in the motion capture repository. As well as proposing a pragmatic solution for exploring motion capture datasets, the project demonstrates the conceptual value of iterative prototyping in innovative interdisciplinary design. The AMUC team was composed of live performance practitioners and theorists conversant with a variety of movement techniques, bioengineers who recorded and processed motion data for integration into the retrieval tool, and computer scientists who designed and implemented the retrieval system and server architecture, scoped for Grid-based applications. Creative input on information system design and navigation, and digital image processing, underpinned implementation of the prototype, which has undergone preliminary trials with diverse users, allowing identification of rich potential development areas.

    Original languageEnglish
    Pages (from-to)2771-2780
    Number of pages10
    JournalPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
    Issue number1898
    Publication statusPublished - 13 Jul 2009


    • Epistemic action
    • Interdisciplinary e-Science design
    • Iterative prototyping
    • Motion capture

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