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Development of Training System for Dental Treatment Using WebAR and Leap Motion Controller

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Complex, Intelligent and Software Intensive Systems (CISIS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1194))

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Abstract

Students in a dental course have to pay a large amount of money for their training to become a dentist because they have to use expensive dentures in the dental treatment training that are discarded after the training. If we can provide virtual objects realized by 3D CG instead of the physical dentures, dental students can reduce their training costs drastically because such virtual objects can be used repeatedly and there are not any physical loss. Then, this paper treats dental treatment training systems. The authors propose a prototype system using WebAR technology and Leap Motion Controller device, and show results of a simple experiment for evaluating the prototype system in this paper.

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References

  1. Okada, Y., Kaneko, K., et al.: e-Learning at Kyushu University: an Activity Report of ICER (Innovation Center for Educational Resource). https://doi.org/10.20722/jcul.243. (in Japanse)

  2. WebAR. https://github.com/jeromeetienne/AR.js. Accessed 05 Apr 2020

  3. Leap Motion Controller. https://www.leapmotion.com/. Accessed 05 Apr 2020

  4. Koller, D., Klinker, G., Rose, E., Breen, D.E.: Real-time vision-based camera tracking for augmented reality applications. In: VRST-97, pp. 87–94 (1997)

    Google Scholar 

  5. Kato, H., Billinghust, M.: Marker tracking and HMD calibration for a video-based augmented reality conferencing system. In: 2nd IEEE and ACM International Workshop on Augmented Reality (IWAR 1999), 20–21 October 1999 (1999)

    Google Scholar 

  6. Rolland, J.P., Fuchs, H.: Optical versus video see-through head-mounted display in medical visualization. Presence Teleop. Virt. Environ. 9(3), 287–309 (2000)

    Article  Google Scholar 

  7. Zhang, X.: Visual marker detection and decoding in AR systems: a comparative study. In: International Symposium on Mixed and Augmented Reality, 1 October 2002 (2002)

    Google Scholar 

  8. Fuchs, H., Livingston, M.A., Raskar, R.: Augmented reality visualization for laparoscopic surgery. In: Medical Image Computing and Computer-Assisted Intervention (MICCAI 1998), 11–13 October 1998

    Google Scholar 

  9. Spicer, Mark A., Apuzzo, Michael L.J.: Virtual reality surgery: neurosurgery and the contemporary landscape. Neurosurgery 52(3), 489–498 (2002)

    Article  Google Scholar 

  10. Okada, Y., Ogata, T., Matsuguma, H.: Component-based approach for prototyping of Tai Chi-based physical therapy game and its performance evaluations. ACM Comput. Entertainment 14(1), 1–20 (2016)

    Article  Google Scholar 

  11. Akase, R., Okada, Y.: Automatic 3D furniture layout based on interactive evolutionary computation. In: Proceedings of the 5th Int. Workshop on Virtual Environment and Network Oriented Applications (VENOA-2013) of CISIS-2013, pp. 726–731. IEEE CS Press (2013)

    Google Scholar 

  12. Kosuki, Y., Okada, Y.: 3D visual component based development system for medical training systems supporting haptic devices and their collaborative environments. In: Proceedings of the 4th International Workshop on Virtual Environment and Network Oriented Applications (VENOA-2012) of CISIS-2012, pp. 687–692. IEEE CS Press (2012)

    Google Scholar 

  13. Miyahara, K., Okada, Y.: Collada-based file format for various attributes of realistic objects in networked VR applications supporting various peripherals. J. Mob. Multimedia 6(2), 128–144 (2010)

    Google Scholar 

  14. Kuroda, K., Kaneko, K., Fujibuchi, T., Okada, Y.: Web-based VR system for operation training of medical therapy devices. In: Proceedings of the 10th International Workshop on Virtual Environment and Network Oriented Applications (VENOA-2018) of CISIS-2018, pp. 768–777. Springer (2018)

    Google Scholar 

  15. Kuroda, K., Kaneko, K., Fujibuchi, T., Okada, Y.: Web-based operation training system of medical therapy devices using VR/AR devices. In: 2018 The 13-th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA-2018), pp. 250–259 (2018)

    Google Scholar 

  16. Kuroda, K., Kaneko, K., Fujibuchi, T., Okada, Y.: Web-based collaborative VR training system for operation of radiation therapy devices. In: Proceedings of the 11th International Workshop on Virtual Environment and Network Oriented Applications (VENOA-2019) of CISIS-2019, pp. 768–778. Springer (2018)

    Google Scholar 

  17. Pentenrieder, K., Meier, P., Klinker, G.: Analysis of tracking accuracy for single-camera square-marker-based tracking. In: Dritter Workshop Vituelle Erweiterte Realitt der GI_Fachgruppe VR/AR, 26 September 2006. ISMAR, p. 15. http://campar.in.tum.de/pub/pentenrieder2006gi/pentenrieder2006gi.pdf. Accessed 04 Apr 2020

  18. AR.js Marker Training. https://jeromeetienne.github.io/AR.js/three.js/examples/marker-training/examples/generator.html. Accessed 04 Apr 2020

  19. Three.js. https://threejs.org/. Accessed 04 Apr 2020

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Acknowledgments

This research was mainly supported by Strategic International Research Cooperative Program, Japan Science and Technology Agency (JST) regarding “Security in the Internet of Things Space”, and partially supported by JSPS KAKENHI Grant Number JP17H00773.

Author information

Authors and Affiliations

  1. Department of Physics, Faculty of Science, Kyushu University, Fukuoka, Japan

    Kengo Kudo

  2. Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan

    Yoshihiro Okada

  3. Innovation Center for Educational Resources (ICER), Kyushu University Library, Kyushu University, Fukuoka, Japan

    Yoshihiro Okada

Authors
  1. Kengo Kudo
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  2. Yoshihiro Okada
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Corresponding author

Correspondence to Yoshihiro Okada .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Institute of Information Technology, Lodz University of Technology, Łódź, Poland

    Aneta Poniszewska-Maranda

  3. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

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Kudo, K., Okada, Y. (2021). Development of Training System for Dental Treatment Using WebAR and Leap Motion Controller. In: Barolli, L., Poniszewska-Maranda, A., Enokido, T. (eds) Complex, Intelligent and Software Intensive Systems. CISIS 2020. Advances in Intelligent Systems and Computing, vol 1194. Springer, Cham. https://doi.org/10.1007/978-3-030-50454-0_60

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