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MuyBridge: Mobile Human Center-of-Mass Estimation from Monocular Video via Sparse Fusion
The 3D center of mass (CoM) is a primary quantity in the biomechanical analysis of sport, rehabilitation, and clinical movement, yet existing 3D pose tracking, mesh recovery, and multi-view triangulation methods either optimize 3D keypoint accuracy without anatomical constraints or carry compute and capture infrastructure too heavy to deploy where CoM tracking is most useful. As a result, the metric CoM remains difficult for coaches and movement analysts to measure from a single camera where athletes train and compete. In this work, we introduce MuyBridge, an on-device system that estimates th
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-02T17:38:36.000Z
First collected: 2026-09-21T05:11:56.580Z. This is not the publication date.