Biomechanical Model of Humans

Modeling and simulation of human motion by efficient forward dynamics simulation (and optimization)

Summary

The modeling of the time dependent, dynamic behavior of the human musculoskeletal system results in a large scale mechanical multibody system. This consists of submodels for the skeleton, wobbling masses, muscles and tendons as redundant actuators. Optimization models are required for the simulation of the muscle groups involved in a motion. In contrast to the inverse dynamics simulation the forward dynamics simulation enables to consider very general problem statements in principle. In this project a new approach to the forward dynamics simulation and optimization of human body dynamics which overcomes the enormous computational cost of current approaches for solving the resulting optimal control problems is investigated. The approach is based on a suitable modeling of the dynamics of the musculoskeletal system in combination with a tailored direct collocation method for optimal control. First numerical results for a human kick demonstrate an improvement in computational time of two orders of magnitude when compared to standard methods. By further development of these methods, basics for completely new perspectives of investigations in the fields of ergonomics, medicin and biologoy can be opened. 

Visualization of the results for a human kicking motion

The two movies show of the results of a forward dynamics optimization for the computation of the muscle activations for a time optimal human kicking motion, i.e. for the prediction of the human motion (red for high activation, blue for low activation; in slow motion and real time):

Visualization of the results for a human jumping motion

The two movies show of the results of a forward dynamics optimization for the computation of the muscle activations for a measured human jumping motion, i.e. for the analysis of the human motion (red for high activation, blue for low activation; in slow motion and real time):

[ More information (only in German for the moment) ... ]

Contact:

Dipl.-Inform. Martin Friedmann
E-Mail | Tel: +49 - (0)6151 / 16-4722

 

Funding

The project is funded by the German Research Foundation DFG since 2005 (grants STR 533/3-1 and 8-1).

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