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Paper · arXiv

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 the athlete's segmental center of mass trajectory from a single phone camera video stream. MuyBridg...

AuthorsAidan Bradshaw, Marco Giordano, David Rode et al.
Primary categorycs.CV
Published2 September 2026
Last updated at source2 September 2026
cs.CV
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