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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:

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

Intelligent Automation & Soft Computing 2021, 27(3), 853-871.


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.


Cite This Article

C. Le Van, T. Hiep Hoa, N. Minh Duc, V. Puri, T. Sanh Nguyen et al., "Design and development of collaborative ar system for anatomy training," Intelligent Automation & Soft Computing, vol. 27, no.3, pp. 853–871, 2021.

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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