[Analysis of motor development within the first year of life: 3-D motion tracking without markers for early detection of developmental disorders].

Children with motor development disorders benefit greatly from early interventions. An early diagnosis in pediatric preventive care (U2-U5) can be improved by automated screening. Current approaches to automated motion analysis, however, are expensive, require lots of technical support, and cannot be used in broad clinical application.

General Movement Assessment from videos of computed 3D infant body models is equally effective compared to conventional RGB video rating.

Background: General Movement Assessment (GMA) is a powerful tool to predict Cerebral Palsy (CP). Yet, GMA requires substantial training challenging its broad implementation in clinical routine. This inspired a world-wide quest for automated GMA.