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Markerless gait analysis system quantifies pediatric movement disorders

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

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Enables more accessible and objective gait assessment for pediatric movement disorders, potentially improving diagnosis and treatment monitoring.

RANK_REASON The cluster contains an academic paper detailing a new methodology and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

COVERAGE [1]

  1. arXiv cs.CV TIER_1 · Lauhitya Reddy, Seth Donahue, Jeremy Bauer, Susan Sienko, Anita Bagley, Joseph Krzak, Maura Eveld, Karen Kruger, Ross Chafetz, Vedant Kulkarni, Hyeokhyen Kwon ·

    Quantifying Rodda and Graham Gait Classification from 3D Makerless Kinematics derived from a Single-view Video in a Heterogeneous Pediatric Clinical Cohort

    arXiv:2605.11314v2 Announce Type: replace Abstract: Cerebral Palsy (CP) is a neurological disorder of movement and the most common cause of lifelong physical disability in childhood. Approximately 75% of children with CP are ambulatory, and accurate gait assessment is central to …