Rapid prototyping of the SmartAR augmented reality control platform for multiple use cases
Conference paper
Purmaissur, J., Seeam, A. and Ramsurrun, V. 2022. Rapid prototyping of the SmartAR augmented reality control platform for multiple use cases. 3rd International Conference on Next Generation Computing Applications (NextComp). Flic-en-Flac, Mauritius 06 - 08 Oct 2022 IEEE. pp. 1-6 https://doi.org/10.1109/NextComp55567.2022.9932206
Type | Conference paper |
---|---|
Title | Rapid prototyping of the SmartAR augmented reality control platform for multiple use cases |
Authors | Purmaissur, J., Seeam, A. and Ramsurrun, V. |
Abstract | The technology of augmented reality (AR) is still in its infancy, but given the significant influence of mobile devices like smartphones and tablets, it can be said to be the next big thing for the next generation. The goal of this study is to create, utilizing fast application development approaches, a low-cost platform that can be applied to a variety of Smart City and Smart Building use cases. The many AR use cases discussed in this paper are all implemented using the same methodology. The Node-Red platform, which is perfectly suited to the Internet of Things and online applications, was used to swiftly construct a number of augmented reality use cases for the platform |
Keywords | Virtual and augmented reality, Evolutionary prototyping, User interfaces, Mobile Applications |
Middlesex University Theme | Creativity, Culture & Enterprise |
Conference | 3rd International Conference on Next Generation Computing Applications (NextComp) |
Page range | 1-6 |
Proceedings Title | 2022 3rd International Conference on Next Generation Computing Applications (NextComp) |
ISBN | |
Electronic | 9781665469548 |
Electronic | 9781665469531 |
Paperback | 9781665469555 |
Publisher | IEEE |
Publication dates | |
06 Oct 2022 | |
Online | 31 Oct 2022 |
Publication process dates | |
Deposited | 10 Oct 2022 |
Accepted | 01 Sep 2022 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Digital Object Identifier (DOI) | https://doi.org/10.1109/NextComp55567.2022.9932206 |
Language | English |
https://repository.mdx.ac.uk/item/8q145
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