Key aspects of integrating augmented reality tools into peer-to-peer remote laboratory user interfaces

Maiti, Ananda and Kist, Alexander and Smith, Mark (2016) Key aspects of integrating augmented reality tools into peer-to-peer remote laboratory user interfaces. In: 13th International Conference on Remote Engineering and Virtual Instrumentation (REV 2016), 24-26 Feb 2016, Madrid, Spain.

Abstract

Augmented Reality (AR) is the process of overlaying meaningful information in a video stream for creating an enriched visual experience for users. Peer-to-Peer (P2P) Remote Access Laboratories (RAL) are systems where individual users or makers can build their experimental setups, program the rig and then share it with other users. This enables them to get design experience along with gaining knowledge about the particular experiment in question and potentially collaborate on design experiences. This paper focuses on the integration of AR tools with a P2P RAL system. The challenges of the P2P RAL system are that makers are to be provided with a generalized set of tools that they can use to create the experiments and program them and the AR tools have to be generic and applicable for multiple experiments. The corresponding issues discussed are the applications of AR in RAL, the levels of AR in context of RAL and their effect on the learning tools, the nature of the P2P platform, the challenges of integrating AR in the generic P2P programming platform and their solutions. The methods of implementing the AR tools in the P2P Platform are also presented.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2016 IEEE. Permanent restricted access to published version due to publisher copyright policy.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 17 Feb 2017 05:54
Last Modified: 05 Jun 2017 04:32
Uncontrolled Keywords: object recognition, augmentated reality, remote laboratories, e-learning, digital image processing
Fields of Research : 08 Information and Computing Sciences > 0805 Distributed Computing > 080503 Networking and Communications
13 Education > 1303 Specialist Studies in Education > 130306 Educational Technology and Computing
09 Engineering > 0906 Electrical and Electronic Engineering > 090602 Control Systems, Robotics and Automation
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
E Expanding Knowledge > 97 Expanding Knowledge > 970113 Expanding Knowledge in Education
Identification Number or DOI: 10.1109/REV.2016.7444434
URI: http://eprints.usq.edu.au/id/eprint/30659

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