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    Forward Dynamic Optimization of Human Gait Simulations: A Global Parameterization Approach

    Source: Journal of Computational and Nonlinear Dynamics:;2014:;volume( 009 ):;issue: 003::page 31018
    Author:
    Sharif Shourijeh, Mohammad
    ,
    McPhee, John
    DOI: 10.1115/1.4026266
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This study presents a 2D gait model that uses global parameterization within an optimal control approach and a hypervolumetric foot contact model. The model is simulated for an entire gait stride, i.e., two full steps. Fourier series are utilized to represent muscle forces to provide a periodic gait with bilateral symmetry. The objectives of this study were to develop a predictive gait simulation and to validate the predictions. The comparison of simulation results of optimal muscle activations, joint angles, and ground reaction forces against experimental data showed a reasonable agreement.
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      Forward Dynamic Optimization of Human Gait Simulations: A Global Parameterization Approach

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    http://yetl.yabesh.ir/yetl1/handle/yetl/154186
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    contributor authorSharif Shourijeh, Mohammad
    contributor authorMcPhee, John
    date accessioned2017-05-09T01:05:58Z
    date available2017-05-09T01:05:58Z
    date issued2014
    identifier issn1555-1415
    identifier othercnd_009_03_031018.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/154186
    description abstractThis study presents a 2D gait model that uses global parameterization within an optimal control approach and a hypervolumetric foot contact model. The model is simulated for an entire gait stride, i.e., two full steps. Fourier series are utilized to represent muscle forces to provide a periodic gait with bilateral symmetry. The objectives of this study were to develop a predictive gait simulation and to validate the predictions. The comparison of simulation results of optimal muscle activations, joint angles, and ground reaction forces against experimental data showed a reasonable agreement.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleForward Dynamic Optimization of Human Gait Simulations: A Global Parameterization Approach
    typeJournal Paper
    journal volume9
    journal issue3
    journal titleJournal of Computational and Nonlinear Dynamics
    identifier doi10.1115/1.4026266
    journal fristpage31018
    journal lastpage31018
    identifier eissn1555-1423
    treeJournal of Computational and Nonlinear Dynamics:;2014:;volume( 009 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian