Hidden Markov Models for Learning Evaluation in Virtual Reality Simulators

R.M. de Moraes and L. dos Santos Machado (Brazil)


Hidden Markov Models, Online Learning Evaluation, Virtual Reality Worlds


Training on simulators systems based on virtual reality for learning or learning improvement may be a more cost-effective and efficient alternative to traditional training methods. A new approach for quality for on line training evaluation in virtual reality simulators is proposed. This approach uses Hidden Markov Models (HMM) for modeling and classification of training in predefined classes of training. In this paper we show an example of application in a simulator of bone marrow harvest for transplant.

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