Towards a neuronal network controller for vertical jumping from different initial squat depths

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    Abstract

    In this study, a forward dynamic simulation model of the human musculoskeletal system was used to explore various strategies of generating muscle stimulation patterns for vertical squat jumping. It was shown that a simple mapping from joint angles to muscle stimulation onsets yielded successful control, albeit not optimal control, for jumps from different initial squat depths. Furthermore, it was shown that this mapping could be implemented in a straightforward way in a simple network of Hodgkin-Huxley type neurons.

    Original languageEnglish
    Title of host publication2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
    Pages4506-4509
    Number of pages4
    DOIs
    Publication statusPublished - 2010
    Event2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina
    Duration: 31 Aug 20104 Sep 2010

    Conference

    Conference2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
    CountryArgentina
    CityBuenos Aires
    Period31/08/104/09/10

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