Project Overview

This project is focused on the development of novel technologies to support clinicians in the assessment and diagnosis of cerebral palsy and motor impairment by studying infants’ movements in the first months of life. Silvia Orlandi will compare atypical and typical spontaneous movements using computer vision and machine learning techniques. A computer-based assessment will provide clinicians with an automatic and objective tool for the early detection of cerebral palsy to facilitate early intervention and improve functional outcomes.