Using Photogrammetry to Create a Realistic 3D Anatomy Learning Aid with Unity Game Engine.

Clicks: 334
ID: 94566
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #22 of 47 articles by views in advances in experimental medicine and biology

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Learning and processing complex 3D structures can be challenging for students, particularly if relying on 2D images or if there is limited access to the study material. This applies to many fields including anatomy, where students report difficulty visualising complex structures such as the nervous system. We aimed to address this by creating a realistic model of part of the nervous system-the sympathetic nervous system which is known for the 'fight or flight' response. Photogrammetry was chosen to create a 3D digital model of a dissection of the sympathetic nervous system. The 3D model was then incorporated into an interactive learning aid that allowed users to manipulate the model and provided relevant text information and labels. Evaluation of the learning aid by students (n = 7) was positive with 71.4% strongly agreeing that using this application improved their understanding of the anatomy. The majority of students (85.7%) also agreed or strongly agreed that this application provided them with a view of the sympathetic nervous system that they had not seen before. Photogrammetry is a relatively simple and inexpensive method to create realistic 3D digital models that can promote self-directed learning and a greater understanding of complex structures.
Reference Key
wesencraft2019usingadvances Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Wesencraft, Katrina M;Clancy, Jennifer A;
Journal advances in experimental medicine and biology
Year 2019
DOI
10.1007/978-3-030-31904-5_7
URL
Keywords
photogrammetry gamification sympathetic nervous system 3d learning application anatomical education

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.