A Neuro-Fuzzy Approach for student module of Physical Activity ITS

In the last few years several works about Intelligent Tutoring System (ITS) has been proposed, but anyone interested the learning of physical activity. In this paper we presents a neuro-fuzzy approach, based on fuzzy logic and neural networks, to define the student module of an experimental ITS implemented to obtain an objective assessment of physical activity education. The input values used for activity assessment are the energy estimated for physical activity task and the energy real expends for the same activity, while the classification of learning is based on a evaluation scale with six different literal rank. © 20010Published by Elsevier Ltd.