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Markerless gait analysis system quantifies pediatric movement disorders

By PulseAugur Editorial · [1 sources] ·

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.

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 →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Markerless gait analysis system quantifies pediatric movement disorders

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

  1. arXiv cs.CV TIER_1 English(EN) · 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 …

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