Optimize BVH Origin example

Example of a MoCap model using data from an inertial motion capture suit. The model uses a BVH file with data from an Xsens suit. The ground reaction forces are predicted using the GRF prediction algorithm.

See also

Main file Example:

Application ‣ MocapExamples ‣ BVH_Xsens_OptimizeOrigin ‣ Subjects ‣ S1 ‣ S01_Trial01 ‣ Main.any

This particular example demonstrates a class template that can be used to optimize the origin of the BVH recording. The class template can be useful when BVH recordings consist of interaction of the subject with environment objects. In such trials, it can be hard to locate the environment object relative to the subject. The origin of the BVH model (recording) can be set to another position and orientation with respect to the Global Ref. This class template can optimize the origin of the BVH model such that a target segment of the human model (Left/Right Foot/Hand) hits a known position and orientation in a given time interval while following the recorded motion from the trial.

Normally, in BVH models, AnyBody automatically calculates the virtual markers positions, and the model is scaled directly from the size of the BVH stick figure. Hence the model contains no Parameter identification step to find the parameters. In this model for optimizing the origin, the parameter identification step must be run manually prior to running the model.