Hi Ziyu, I totally agree with you that none of the solutions are perfect. I don't want to start here now a discussion about filtering, but did you try to use a residual analysis to determine the proper cut-off frequency for your data? And did you adapt the cut-off frequency to the fact that a dual p...

Hi Ziyu, I totally agree with your arguments on why it has to be the time stamp being wrong. However, I do not fully agree with your solution method to filter after the ID. There are two main reasons for that: 1. Filtering with IIR filters will always introduce some edge effects. Hence, I recommend ...

Hi, I also encountered that the ID result (.sto) has different time stamps compared to the IK result (.mot). I always thought that this might occur from the different sampling frequencies in the kinematics and forces. Thanks for looking deeper into it and finding out that it comes from the filtering...

Hi Mohammadreza, thanks a lot for your help. That looks very useful. It was not obvious to me that the trajectories are called dependent columns. I am already using OpenSim 4.3 API (GetVersion(): 4.3-2021-08-27-4bc7ad9). I read in another post, that there should be Nans already, but I do not know wh...

Hi, I made some progress in the meantime which might also be interesting for some of you. Unfortunately, missing marker data cannot always be avoided. I implemented a function in the class osimC3D to replace [0, 0, 0] by [nan, nan, nan] for missing markers since at least the OpenSim scaling can deal...

Hi, I am loading a osimC3D object with marker and force data from a c3d-file within Matlab: osimc3d = osimC3D(fileName, 1); markers = osimc3d.getTable_markers(); forces = osimc3d.getTable_forces(); The variables markers and forces are TimeSeriesTableVec3 and TimeSeriesTable, respectively. I would no...