Questions regarding user specific data about recurrent_grf_prediction HOT 1 CLOSED

Regarding the acceleration data such as Sample_test_data.csv, I would like to know how that should be formatted.

I'm unclear on what your question is. Sample_test_data.csv is the example for how to format the data you'd like to test the prediction model with. Test_LSTM.ipynb utilizes this data file and provides more info about what it contains.

Is there a specific part of the leg that should be identified as the shank and what are the formatting requirements for the .csv.

README.md links to the manuscript with information about the location of the accelerometers.

Regarding formatting requirements is there a sampling rate range, can multiple shanks be added...etc?

Sure, but you'll need to retrain your prediction model to utilize this added signal.

Regarding footstrike I was hopping you could let me know how to create a footstrike file that the program can use based of acceleration data, a video, and subject information.

I think this is beyond the scope of a github issue.

Lastly, how can I get the grf data to be outputted as a excel file, or .trc, or csv?

The model output can already be exported to any text file format you'd like.

from recurrent_grf_prediction.