Scaling and Local Marker Coordinates Determination of Musculoskeletal Systems Aalborg University, Denmark

Format:

Conference/Event

Author/Creator:

Andersen, Michael Skipper, author.

Conference Name:

2007 Digital Human Modeling Conference (2007-06-12 : Seattle, Washington, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2007

Summary:

In this paper, we introduce a new general method for estimation of kinematic parameters for a musculoskeletal model from motion capture data. We shall determine parameters that are constant over the whole sampling period in addition to the time-dependent system coordinates. Being able to do this is critical in situations where local joint coordinates, local marker coordinates or the overall scaling of the rigid multi-body model are not known precisely a priori. Even for small-scale mechanical systems, this yields a large-scale optimization problem with the system coordinates at each sample and the constant parameters as unknowns. We show that, due to the special structure of the linearized Karush-Kuhn-Tucker (KKT) conditions for this problem, it is possible to find a local minimizer efficiently.We demonstrate the usability of the method on a scaling problem for an 18 degrees of freedom (DOF) 3D model of gait with the motion prescribed from a real motion capture experiment

Notes:

Vendor supplied data

Publisher Number:

2007-01-2477

Access Restriction:

Restricted for use by site license