AI RESEARCH
A Gait Foundation Model Predicts Multi-System Health Phenotypes from 3D Skeletal Motion
arXiv CS.AI
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ArXi:2603.25283v1 Announce Type: new Gait is increasingly recognized as a vital sign, yet current approaches treat it as a symptom of specific pathologies rather than a systemic biomarker. We developed a gait foundation model for 3D skeletal motion from 3,414 deeply phenotyped adults, recorded via a depth camera during five motor tasks. Learned embeddings outperformed engineered features, predicting age (Pearson r = 0.69), BMI (r = 0.90), and visceral adipose tissue area (r = 0.82