Model calibration / fitting
Posted: Thu Feb 21, 2013 4:49 pm
Hi,
As far as I have understood, two steps are required to calibrate a model for a given subject for inverse kinematics/dynamics. First we need to scale the dimensions of the model to the subject dimensions and then set the model parameters and markers position to the experimental data.
What are the model parameters optimized in this steps?
Is it only the general coordinates which govern the pose estimation or all the characteristics of the joints?
For example the knee joint pose is governed by only one coordinate, the knee flexion. However, the knee joint of a particular subject can have a non-zero static rotation about the X or Y axes. In the case of a genu valgum for example.
Will the model fitting operation try to adjust those parameters as well or not?
If yes, how do we control this (weights)?
Thanks,
As far as I have understood, two steps are required to calibrate a model for a given subject for inverse kinematics/dynamics. First we need to scale the dimensions of the model to the subject dimensions and then set the model parameters and markers position to the experimental data.
What are the model parameters optimized in this steps?
Is it only the general coordinates which govern the pose estimation or all the characteristics of the joints?
For example the knee joint pose is governed by only one coordinate, the knee flexion. However, the knee joint of a particular subject can have a non-zero static rotation about the X or Y axes. In the case of a genu valgum for example.
Will the model fitting operation try to adjust those parameters as well or not?
If yes, how do we control this (weights)?
Thanks,