Fig. 5From: GEARing smart environments for pediatric motor rehabilitationComparison between the application of maximum likelihood (left) and smoothing (right) for estimating transition probabilities out of small data sets. Smoothing assigns small but nonzero probabilities to events that have not (yet) been observed, acknowledging the fact that the data set may be small and sparseBack to article page