Predicts 3D hip and knee joint contact forces from a monocular video, via SMPL pose features (and optional frozen V-JEPA 2 video features). Accompanies "From Pixels to Newtons: Predicting In Vivo Joint Contact Forces from Monocular Video" (arXiv) · code: jeylau/jcf.

trial.npz is a preprocessed SMPL sequence; see the repo for the video → features pipeline.

Research use only. Trained on the OrthoLoad instrumented-implant cohort (26 patients, 25 activities) and evaluated zero-shot on an independent cohort (the Grand Challenge knee load competition data) where it matches or outperforms prior published methods. This is the all-subjects checkpoint (the one used for the paper's inverse design experiments); the paper's reported accuracy is leave-one-subject-out, so in-sample subjects look better than those held-out figures. Accuracy outside these tested conditions (other activities or populations) is not guaranteed.