Great, do you know what went wrong the first time?

Hi, this should help: https://github.com/stanfordnmbl/opencap ... D.py#L1854
Best, Antoine

You should position your cameras such that occlusion is minimized. You can use three cameras for trials with a wheelchair .

Antoine

Hey, > Do I simply upload it into python and then input my own naming conventions from my trials? Yes. There are instructions here https://github.com/stanfordnmbl/opencap-processing?tab=readme-ov-file#muscle-driven-simulations and examples here https://github.com/stanfordnmbl/opencap-processing/blob...

Please make sure you go through the steps in the right order: https://www.opencap.ai/get-started

Hey,

The KAM results are saved in the optimaltrajectories.npy file.

Best,
Antoine

Hi, You could use whatever model you like. I think I only have python implementation of the bhargava one. I have matlab implementations of some other ones though: https://github.com/antoinefalisse/3dpredictsim/tree/master/MetabolicEnergy. > Additionally, can the KIMR15 model be also used as a joint-...

You should get this data (camera parameters and synced videos) when you download the results from your data collection.
Best,

Antoine

Hi Sauvik, There is no support for metabolic/energetic cost estimation at the moment. However, the code you used to generate the simulations is very similar to the one here https://github.com/antoinefalisse/predsim_tutorial used to generate predictive simulations of movement. In that code, I compute...

You can generate dynamic simulations to estimate ground reaction forces and musculoskeletal forces. Please take a look at the paper https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011462 and at our scripting examples https://github.com/stanfordnmbl/opencap-processing?tab=read...