Using Unity 3D as the augmented reality framework for remote access laboratories

Smith, Mark and Maiti, Ananda and Maxwell, Andrew D. and Kist, Alexander A. (2019) Using Unity 3D as the augmented reality framework for remote access laboratories. In: 15th International Conference on Remote Engineering and Virtual Instrumentation (REV 2018): Smart Industry and Smart Education, 21-23 March 2018, Duesseldorf, Germany.

Abstract

Constructing augmented reality systems for remote access laboratory environments may seem daunting to many institutions. Utilizing open source tools may benefit from the large user and developer base, providing advice and support. Platforms such as Unity 3D provide comprehensive resources to developers when deciding how to construct a working framework, such as 3D graphic rendering, audio generation with built-in software tools. Comprehensive computer vision tools written with Unity 3D’s C# or JavaScript compiler provide developers with the necessary Augmented Reality interfaces and feedback. This work discusses the Unity 3D framework, and the methods required to construct functional augmented reality support for remote access laboratories.


Statistics for USQ ePrint 34730
Statistics for this ePrint Item
Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version, in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 July 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 July 2013 -)
Date Deposited: 14 Jan 2020 02:26
Last Modified: 14 Jan 2020 23:35
Uncontrolled Keywords: augmented reality, computer vision, remote access laboratories, STEM, Unity 3D
Fields of Research : 08 Information and Computing Sciences > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified
Identification Number or DOI: 10.1007/978-3-319-95678-7_64
URI: http://eprints.usq.edu.au/id/eprint/34730

Actions (login required)

View Item Archive Repository Staff Only