Direct optimisation-based planar human vertical jumping simulation
by Burak Ozsoy, Jingzhou Yang, Bradley Howard, Zachary J. Domire, Rhonda Boros
International Journal of Human Factors Modelling and Simulation (IJHFMS), Vol. 2, No. 1/2, 2011

Abstract: Vertical jumping is one of the fundamental motions among other jumping types in sport biomechanics. In literature, two major approaches have been investigated: experiment-based methods and optimisation-based methods. Experiment-based methods are time consuming and tedious. Optimisation-based methods for musculoskeletal models are computationally expensive because their models include all muscles and explicit integration of equation of motion. In this pilot study, a direct optimisation-based method for a skeletal model was proposed in sagittal plane, where this formulation was based on joint space that was only considered the resultant results of muscles (joint torques) instead of individual muscles to reduce computational time. This optimisation problem was solved by a commercial optimisation solver SNOPT which uses sequential quadratic programming (SQP) method with 35 design variables 2,838 non-linear constraints and 99,330 constraint gradients. Preliminary results highly correlated results from the literature. This simple planar simulation is the first step to understand the cause and effect for vertical jumping with or without arm swing.

Online publication date: Wed, 22-Oct-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Human Factors Modelling and Simulation (IJHFMS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com