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Design and Development of Collaborative AR System for Anatomy Training

Chung Le Van1, Trinh Hiep Hoa1, Nguyen Minh Duc1, Vikram Puri1, Tung Sanh Nguyen2, Dac-Nhuong Le3,4,*

1 Company for Visualization & Simulation (CVS), Duy Tan University, Danang, 550000, Vietnam
2 Hue University of Medicine and Pharmacy, Hue, 490000, Vietnam
3 Institute of Research and Development, Duy Tan University, Danang, 550000, Vietnam
4 Faculty of Information Technology, Duy Tan University, Danang, 550000, Vietnam

* Corresponding Author: Dac-Nhuong Le. Email: email

(This article belongs to the Special Issue: Machine Learning and Computational Methods for Disease Detection and Prediction)

Intelligent Automation & Soft Computing 2021, 27(3), 853-871. https://doi.org/10.32604/iasc.2021.013732

Abstract

Background: Augmented Reality (AR) incorporates both real and virtual objects in real-time environments and allows single and multi-users to interact with 3D models. It is often tricky to adopt multi-users in the same environment because of the devices’ latency and model position accuracy in displaying the models simultaneously. Method: To address this concern, we present a multi-user sharing technique in the AR of the human anatomy that increases learning with high quality, high stability, and low latency in multiple devices. Besides, the multi-user interactive display (HoloLens) merges with the human body anatomy application (AnatomyNow) to teach and train students, academic staff, and hospital faculty in the human body anatomy. We also introduce a pin system to share the same knowledge between multiple users. A total of 5 groups have been considered for the study and the evaluation has been performed using two parameters: latency between the devices and position accuracy of the 3D objects in the same environment. Results: The proposed multi-user interaction technique is observed to be good in terms of 3D object position accuracy and latency between the devices. Conclusion: AR technology provides a multi-user interactive environment for teaching and training in the human body anatomy.

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APA Style
Van, C.L., Hoa, T.H., Duc, N.M., Puri, V., Nguyen, T.S. et al. (2021). Design and development of collaborative AR system for anatomy training. Intelligent Automation & Soft Computing, 27(3), 853-871. https://doi.org/10.32604/iasc.2021.013732
Vancouver Style
Van CL, Hoa TH, Duc NM, Puri V, Nguyen TS, Le D. Design and development of collaborative AR system for anatomy training. Intell Automat Soft Comput . 2021;27(3):853-871 https://doi.org/10.32604/iasc.2021.013732
IEEE Style
C.L. Van, T.H. Hoa, N.M. Duc, V. Puri, T.S. Nguyen, and D. Le "Design and Development of Collaborative AR System for Anatomy Training," Intell. Automat. Soft Comput. , vol. 27, no. 3, pp. 853-871. 2021. https://doi.org/10.32604/iasc.2021.013732



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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