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    Reconstruction and EMG-informed control, simulation and analysis of human movement for athletics: Performance improvement and injury prevention

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    Type
    Conference Paper
    Authors
    Demircan, E.
    Khatib, O.
    Wheeler, J.
    Delp, S.
    Date
    2009-09
    Permanent link to this record
    http://hdl.handle.net/10754/599466
    
    Metadata
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    Abstract
    In this paper we present methods to track and characterize human dynamic skills using motion capture and electromographic sensing. These methods are based on task-space control to obtain the joint kinematics and extract the key physiological parameters and on computed muscle control to solve the muscle force distribution problem. We also present a dynamic control and analysis framework that integrates these metrics for the purpose of reconstructing and analyzing sports motions in real-time.
    Citation
    Demircan E, Khatib O, Wheeler J, Delp S (2009) Reconstruction and EMG-informed control, simulation and analysis of human movement for athletics: Performance improvement and injury prevention. 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Available: http://dx.doi.org/10.1109/IEMBS.2009.5333148.
    Sponsors
    This work was supported in part bythe Simbios National Center for Biomedical Computing Grant(http://simbios.stanford.edu/, NIH GM072970) and KAUST (KingAbdullah University of Science and Technology).
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    DOI
    10.1109/IEMBS.2009.5333148
    PubMed ID
    19964175
    PubMed Central ID
    PMC4479296
    ae974a485f413a2113503eed53cd6c53
    10.1109/IEMBS.2009.5333148
    Scopus Count
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