Learning Human Anatomy Using Augmented Reality Mobile Application

In this current era of technological advancement, the development of Augmented Reality (AR) technology already has a major influence on the education domain. Therefore, more efforts to create educational applications for learners to understand diverse topics using AR. This paper aims to share the ex...

詳細記述

書誌詳細
出版年:2023 International Conference on Digital Applications, Transformation and Economy, ICDATE 2023
第一著者: 2-s2.0-85173607794
フォーマット: Conference paper
言語:English
出版事項: Institute of Electrical and Electronics Engineers Inc. 2023
オンライン・アクセス:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173607794&doi=10.1109%2fICDATE58146.2023.10248797&partnerID=40&md5=75a2e3261c396c0bcc0c7a89b6609e1e
その他の書誌記述
要約:In this current era of technological advancement, the development of Augmented Reality (AR) technology already has a major influence on the education domain. Therefore, more efforts to create educational applications for learners to understand diverse topics using AR. This paper aims to share the experience of developing a mobile application for learning human anatomy using AR. We selected the marker-based technique as the AR technique and Android platform for mobile application development. We follow the Mobile Application Development Life Cycle (MADLC) for the development process. During the design phase, we define the system architecture, use case diagram, algorithm design, and user interface design. Then, we utilize Unity3D, Vuforia, Visual Studio Code, Blender, and AR Core during the development. The Unity's features in this AR application include importing the Vuforia database, image targets, camera conversion, 3D modeling of human anatomy and organs, canvas, and panel, and the lean touch tool kit for scaling and rotating 3D models. As a result, we successfully developed a mobile application for learning human anatomy using AR. This application helps the learner understand as well as enhances the learning experience in human anatomy. © 2023 IEEE.
ISSN:
DOI:10.1109/ICDATE58146.2023.10248797