Performance Profile of Online Training Assessment Based on Virtual Reality:

Embedded System versus PC-only
  • José Taunaí Segundo
  • Elaine Soares
  • Liliane S. Machado
  • Ronei Moraes
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8259)

Abstract

Training systems based on virtual reality are used in several areas of human activities. In some kinds of training is important to know the trainee’s skills. It can be done in those systems but requires high-end computers to achieve good performance. Recently, the use of embedded systems connected to the training system was proposed for training assessment, with the goal of decreasing requirements of the main system. However, some questions are still open and a deep study of this proposal was not performed. This paper provides answers for some of those questions.

Keywords

Embedded Systems Virtual Reality Training Assessment Fuzzy Naive Bayes Possibility and Necessity Measures 

References

  1. 1.
    Machado, L.S., Mello, A.N., Lopes, R.D., Odone Fo, V., Zuffo, M.K.: A Virtual Reality Simulator for Bone Marrow Harvest for Pediatric Transplant. Studies In Health Technology and Informatics 81, 293–297 (2001)Google Scholar
  2. 2.
    Moraes, R.M., Machado, L.S.: Using Embedded Systems to Improve Performance of Assessment in Virtual Reality Training Environments. In: Int. Conf. Engineering and Technology Education (Intertech 2008), Santos, Brazil, pp. 140–144 (2008)Google Scholar
  3. 3.
    Moraes, R., Machado, L.: Development of a Medical Training System with Integration of Users’ Assessment. In: Kim, J.-J. (ed.) Virtual Reality, ch. 15. Intech (2011)Google Scholar
  4. 4.
    Moraes, R.M., Machado, L.S.: Assessment Based on Naive Bayes for Training Based on Virtual Reality. In: Int. Conf. Engineering and Computer Education (ICECE 2007), Santos, Brasil, pp. 269–273 (2007)Google Scholar
  5. 5.
    Moraes, R.M., Machado, L.S.: Another Approach for Fuzzy Naive Bayes Applied on Online Training Assessment in Virtual Reality Simulators. In: Safety, Health and Environmental World Congress (SHEWC 2009), Mongaguá, Brazil, pp. 62–66 (2009)Google Scholar
  6. 6.
    Moraes, R.M., Machado, L.S.: Online Assessment in Medical Simulators Based on Virtual Reality Using Fuzzy Gaussian Naive Bayes. Journal of Multiple-Valued Logic and Soft Computing 18(5), 479–492 (2012)Google Scholar
  7. 7.
    Zadeh, L.A.: Fuzzy Sets. Information and Control 8, 338–353 (1965)MathSciNetCrossRefMATHGoogle Scholar
  8. 8.
    Barr, M.: Programming Embedded Systems in C and C++. O’Reilly (1999)Google Scholar
  9. 9.
    Moraes, R.M., Machado, L.S.: Gaussian Naive Bayes for Online Training Assessment in Virtual Reality-Based Simulator. Mathware & Soft Computing 16, 123–132 (2009)Google Scholar
  10. 10.
    McBeth, P.B., et al.: Quantitative Methodology of Evaluating Surgeon Performance in Laparoscopic Surgery”. Studies in Health Technology and Informatics 85, 280–286 (2002)Google Scholar
  11. 11.
    Dinsmore, M., Lagrana, N., Burdea, G., Ladeji, J.: Virtual Reality Training Simulation for Palpation of Subsurface Tumors. In: IEEE VRAIS 1997, pp. 54–60. IEEE Press (1997)Google Scholar
  12. 12.
    Cohen, J.: A coefficient of agreement for nominal scales. Educational and Psychological Measurement 20, 37–46 (1960)CrossRefGoogle Scholar
  13. 13.
    Webb, A.: Statistical Pattern Recognition, 2nd edn. John Wiley, Chichester (2005)Google Scholar
  14. 14.
    Machado, L.S., Moraes, R.M.: Medical Skills Assessment in Training Based on Virtual Reality Using a Possibilistic Approach. In: 10th Int. FLINS Conf (FLINS 2012), Istanbul, Turkish, pp. 339–345 (2012)Google Scholar
  15. 15.
    Gentle, J.E.: Random Number Generation and Monte Carlo Methods, 2nd edn. Springer Science (2005)Google Scholar
  16. 16.
    Dubois, D., Prade, H.: Possibility theory. Plenum Press, New-York (1988)CrossRefMATHGoogle Scholar
  17. 17.
    Störr, H.-P.: A compact fuzzy extension of the naive Bayesian classification algorithm. In: 3rd International Conference on Intelligent Technologies and Vietnam-Japan Symposium on Fuzzy Systems and Applications, Hanoi, Vietnam, pp. 172–177 (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • José Taunaí Segundo
    • 1
  • Elaine Soares
    • 1
  • Liliane S. Machado
    • 1
  • Ronei Moraes
    • 1
  1. 1.Federal University of ParaíbaJoão PessoaBrazil

Personalised recommendations