Quantifying Rodda and Graham Gait Classification from 3D Makerless Kinematics derived from a Single-view Video in a Heterogeneous Pediatric Clinical Cohort
Researchers have developed a novel markerless gait analysis system capable of quantifying gait deviations from single-view clinical videos. This system estimates Rodda and Graham knee and ankle z-scores, achieving high accuracy compared to traditional 3D Instrumented Gait Analysis. The technology shows promise for scalable, objective gait assessment, particularly in low-resource clinical settings, and supports longitudinal tracking of disease progression and treatment response. AI
IMPACT Enables more accessible and objective gait assessment for pediatric movement disorders, potentially improving diagnosis and treatment monitoring.