3 papers
cs.CV2026
Quantifying Rodda and Graham Gait Classification from 3D Markerless Kinematics derived from a Single-view Video in a Heterogeneous Pediatric Clinical Cohort
Lauhitya Reddy, Seth Donahue, Jeremy Bauer +8
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 ambulat…
cs.CV2026
AIGaitor: Privacy-preserving and cloud-free motion analysis for everyone, using edge computing
Lauhitya Reddy, Trisha M. Kesar, Hyeokhyen Kwon
Motion capture is the gold standard for measuring human movement, but clinical use remains limited by cost, technical complexity, and privacy concerns. AIGaitor is a privacy-preser…
cs.CV2024
Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos
Lauhitya Reddy, Ketan Anand, Shoibolina Kaushik +4
Accurate diagnosis of gait impairments is often hindered by subjective or costly assessment methods, with current solutions requiring either expensive multi-camera equipment or rel…