By comparing this simple approach with the learning models presented previously, we can state that the magnitude of the error obtained with RF is acceptable. The framework designed in this work, composed by data, features and models, presented some simplification regarding the reference framework from Vavourakis et al. , which could lead to some errors on the prediction, but with not so high influence in the visual aspect. Some new directions for this line of research are already planned trying to improve the obtained results, which will be presented in Conclusions Section.