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most citedDifferentiable Biomechanics for Markerless Motion Capture in Upper Limb Stroke Rehabilitation: A Comparison with Optical Motion Capture

1 citations · 1 across the 4 of their papers we have counts for

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cs.CV2026

Biomechanical 3D Body: Self-Supervised Distillation of Biomechanical Pose from a 3D Body Foundation Model

R. James Cotton, J. D. Peiffer, Lucinda Williamson +2

State-of-the-art monocular body recovery methods predict mesh vertices and angles on the corresponding kinematic tree, but their outputs lack biomechanically defined joint angles t…

cs.CV2026

Biomechanics-aware Multi-view Markerless Motion Capture of Dexterous Hand Movements

Pouyan Firouzabadi, J. D. Peiffer, Kunal Shah +4

Markerless motion capture (MMC) techniques have been widely beneficial in biomechanical analysis of human movement; however, application to complex motions of the hand lags other m…

cs.CV2026

Markerless Motion Capture for Biomechanical Whole-Body Kinematic Estimation in Infants

Divya Joshi, J. D. Peiffer, Colleen Peyton +1

arly identification of motor impairment in infancy relies on expert visual assessment of spontaneous movement, motivating the development of automated, objective alternatives. One…

cs.CV2026

Monocular Markerless Motion Capture Enables Quantitative Assessment of Upper Extremity Reachable Workspace

Seth Donahue, J. D. Peiffer, R. Tyler Richardson +7

To validate a clinically accessible approach for quantifying the Upper Extremity Reachable Workspace (UERW) using a single (monocular) camera and Artificial Intelligence (AI)-drive…

cs.CV2025

Portable Biomechanics Laboratory: Clinically Accessible Movement Analysis from a Handheld Smartphone

J. D. Peiffer, Kunal Shah, Irina Djuraskovic +6

Movement directly reflects neurological and musculoskeletal health, yet objective biomechanical assessment is rarely available in routine care. We introduce Portable Biomechanics L…

cs.CV20241 cited

Differentiable Biomechanics for Markerless Motion Capture in Upper Limb Stroke Rehabilitation: A Comparison with Optical Motion Capture

Tim Unger, Arash Sal Moslehian, J. D. Peiffer +5

Marker-based Optical Motion Capture (OMC) paired with biomechanical modeling is currently considered the most precise and accurate method for measuring human movement kinematics. H…