Inspection of 3-D model of Human body using Augmented Reality
- DOI
- 10.2991/978-94-6463-471-6_100How to use a DOI?
- Keywords
- — Augmented Reality; AR Core; labelling; Anatomy; Human Body Parts; Cloud; APP
- Abstract
To fully grasp complex concepts like the heart, the digestive system, and other challenging systems, it is essential for medical students to rely on visual representations alongside written materials. Currently, students who wish to study the anatomy of different organs must rely on visual representations as their primary means of comprehension in addition to written resources. An software called AR, in Anatomy allows students to examine the human body and learn how it functions. Users of this programme are able to zoom in and out, rotate, and view the anatomy of various human body parts. The programme also provides labelling for minor components. The student's ability to remember newly acquired knowledge is improved through AR. Because these diagrams are printed in 2D on books and are quite intricate, it is exceedingly challenging to envision them. With our APP, The capacity of students to visualise these representations quickly and efficiently.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Raj Mansuriya AU - Chetan Garg AU - S. Saravanan PY - 2024 DA - 2024/07/30 TI - Inspection of 3-D model of Human body using Augmented Reality BT - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024) PB - Atlantis Press SP - 1043 EP - 1053 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-471-6_100 DO - 10.2991/978-94-6463-471-6_100 ID - Mansuriya2024 ER -