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Self-Supervised Learning of Gait-Based Biomarkers
We find that contrastive learning on unannotated gait data learns a representation that captures clinically meaningful information.
Markerless Motion Capture and Biomechanical Analysis Pipeline
Markerless motion capture using computer vision and human pose estimation (HPE) has the potential to expand access to precise movement analysis.
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