Extracting Gait and Balance Pattern Features from Skeleton Data to Diagnose Attention Deficit/Hyperactivity Disorder in Children
Topic: ADHD Diagnosis, Gait Analysis, Balance Assessment, Skeleton Data,
Motor Behavior, Pediatric Mental Health.
This paper presents a method for extracting gait and balance pattern features from
skeleton data to support the diagnosis of Attention Deficit/Hyperactivity Disorder (ADHD)
in children, contributing to AI-driven diagnostic tools for pediatric mental health.