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Segmentation. Algo is clearly not robust (eg, assumes two peaks will be detected). While accuracy sure matters, I don't think any metric will be computed at a certain instant in time but rather max over contact period for instance. So it should not matter too much if we are slightly off. I used marker data for now, it seems a little off when comparing to the video/simulation so open to anything else. Also wasn't sure for now whether to use right vs left data for segmentation, or an average or the first in contact, or ... Open to suggestion.
Support single-leg
Segmentation
Identification
Add peak KA if available
Do we report both right and left separately for double leg dropjumps? An average? Peaks?
Trunk lean, I saw that you computed that differently, might be worth checking which method is best
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The text was updated successfully, but these errors were encountered: