A Modified Naive Bayes to online training assessment in virtual reality simulators

Training systems based on virtual reality are used in several areas. In these systems the user is immersed into a virtual world to have realistic training through realistic interactions. In such training is important to know the quality of user¿s training. Several approaches to perform assessment in training simulators based on virtual reality have been proposed. However, they did not present a satisfactory solution for special cases as a bone marrow harvest in patients with bones deteriorated by disease. In this paper, we present an approach to online training assessment based on a modified naive Bayes, which can manipulate qualitative and quantitative variables simultaneously.