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Augmented reality techniques, using mobile devices, for learning human anatomy

Published:01 October 2014Publication History

ABSTRACT

We present a technological tool we developed under a portable environment by taking a specific fixed image from an anatomy atlas and visualizing it as a three dimensional and dynamic model; an enrichment of the anatomical image and an important aid in the student learning process. The system consists of an augmented reality library called Vuforia. After the images were scanned, they were stored in a database. The three dimensional models seen are created with Unity3D and Maya. The system allows Android and iOS platforms. The use of these mobile devices will allow managing the knowledge for students, developing new ways of teaching innovation and improving the quality of the academic process. These applications encourage student learning, promoting a more interactive attention. There is no doubt that smartphones and tablets are an additional teaching resource nowadays, they enrich and facilitate the transmission of educational contents in health science, specifically in the field of Human Anatomy.

References

  1. Beux, PL., Fieschi, M. 2007. Virtual biomedical universities and e-learning international journal of medical informatics. Int J Med Inform. 76(5--6): 331--335.Google ScholarGoogle Scholar
  2. Bibin, L., Lécuyery, A., Burkhardtz, J. M., Delbos, A., Bonnetm, S. 2008. SAILOR: a 3-D medical simulator of loco-regional anaesthesia based on desktop virtual reality and pseudo-haptic feedback. In: Proceedings of the ACM symposium on virtual reality software and technology, 2008, pp. 97--100. Cannon-Bowers JA. Recent advances in scenario-based training for medical education. Curr Opin Anesthesiol, 21: 784--789. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Curran, V. R., Fleet, L. 2005. A review of evaluation outcomes of web-based continuing medical education. Med Educ, 39: 561--567.Google ScholarGoogle ScholarCross RefCross Ref
  4. Davis, J., Crabb, S., Rogers, E., Zamora, J., Khan, K. S. 2008. Computer-based teaching is as good as face to face lecture-based teaching of evidence based medicine: a randomized controlled trial. Med Teach, 30: 302--307.Google ScholarGoogle ScholarCross RefCross Ref
  5. Garg, A. X., Norman, G. R., Eva, K. W., Spero, L., Sharan, S.. 2002. Is there any real virtue of virtual reality? The minor role of multiple orientations in learning anatomy from computers. Acad Med, 77 (Suppl 10): 97--99.Google ScholarGoogle ScholarCross RefCross Ref
  6. Gavilán, E. 2010. Las innovaciones tecnológicas interactivas como herramienta docente: oportunidades y precauciones. Fundación Gaspar Casal para la investigación y desarrollo de la Salud. E-revista NETS num.03, pp. 29--31.Google ScholarGoogle Scholar
  7. Greenhalgh, T. 2001. Computer assisted learning in undergraduate medical education. BMJ,. 322: 40--44.Google ScholarGoogle Scholar
  8. Grigore, C., Coiffet, P. 2003 Virtual Reality Technology (Second Edition) Ed. Wiley-IEEE Press.Google ScholarGoogle Scholar
  9. Hugenholtz, N. I., De Croon, E. M., Smits, P. B., Van Dijk, F. J., Nieuwenhuijsen, K. 2008. Effectiveness of e-learning in continuing medical education for occupational physicians. Occup Med, 58(5): 370--372.Google ScholarGoogle ScholarCross RefCross Ref
  10. Issenberg, S. B., Scalese, R. J. 2008. Simulation in health care education. Perspect Biol Med. Winter; 51(1): 31--46.Google ScholarGoogle Scholar
  11. Lau, F., Bates, J. 2004. A review of e-learning practices for undergraduate medical education, J. Med. Syst. 28 (1). 2004, 71--87. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Letterie, G. S. 2003. Medical education as a science: the quality of evidence for computer-assisted instruction. Am J Obstet Gynecol, 188: 849--853.Google ScholarGoogle ScholarCross RefCross Ref
  13. Levinson, A. J., Weaver, B., Garside, S., McGinn, H., Norman, G. R. 2007. Virtual reality and brain anatomy: a randomised trial of e-learning instructional designs. Med Educ, 41(5): 495--501Google ScholarGoogle ScholarCross RefCross Ref
  14. Okuda, Y., Bryson, E. O., DeMaria, S. Jr. Jacobson, L., Quinones, J., Shen, B., Levine, A. I. 2009. The utility of simulation in medical education: what is the evidence? Mt Sinai J Med. 76(4): 330--343.Google ScholarGoogle ScholarCross RefCross Ref
  15. Ruiz, J. G., Mintzer, M. J., Leipzig, R. M. 2006. The impact of e-learning in medical education. Acad Med, 81: 207--212.Google ScholarGoogle ScholarCross RefCross Ref
  16. Scalese, R. J., Obeso, V. T., Ossenberg, S. B. 2008. technology for skills training and competency assessment in medical education. J Gen Intern Med, 23: 46--49.Google ScholarGoogle ScholarCross RefCross Ref
  17. Ullrich, S., Frommen, T., Eckert, J., Schütz, A., Liao, W., Deserno, T. M., Ntouba, A., Rossaint, R., Kuhlen, T. 2008. Interactive Modeling and Simulation of Peripheral Nerve Cords in Virtual Environments. SPIE. pp. 69182--69188.Google ScholarGoogle Scholar
  18. Vuchkova, J., Maybury, T. S., Farah, C. S. 2011. Testing the educational potential of 3D visualization software in oral radiographic interpretation. J Dent Educ. 75(11): 1417--1425.Google ScholarGoogle Scholar

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        cover image ACM Other conferences
        TEEM '14: Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality
        October 2014
        711 pages
        ISBN:9781450328968
        DOI:10.1145/2669711

        Copyright © 2014 ACM

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        Publication History

        • Published: 1 October 2014

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