Location-based object identification algorithm for augmented reality in adaptive mobile learning

Qing Tan, William Chang, Kinshuk

Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

Abstract

By superimposing digital learning content on top of the video stream of the mobile device's camera, Augmented Reality (AR) enables learners to interact with real-world context in mobile learning setting. Technically, the AR technology can be considered as consisting of two major aspects: identification of the real-world object and display of computergenerated digital contents related the identified real-world object. In this paper, we will present a location-based object identification algorithm that has been used to identify the location-based learning objects in the 5R adaptive mobile learning system. We will also discuss some issues in using the algorithm. As an example of using this algorithm, an AR mobile application on iPhone will be shown to demonstrate the effectiveness of the location-based object identification algorithm.

Original languageEnglish
Title of host publicationProceedings of the International Conference on e-Learning, ICEL
EditorsTeresita Arenas Yanez, Paul Griffiths, Oscar Saavedra Rodriguez
Pages176-184
Number of pages9
ISBN (Electronic)9781632668301
Publication statusPublished - 2014
Event9th International Conference on e-Learning, ICEL 2014 - Valparaiso, Chile
Duration: 26 Jun. 201427 Jun. 2014

Publication series

NameProceedings of the International Conference on e-Learning, ICEL
ISSN (Print)2048-8882
ISSN (Electronic)2048-8890

Conference

Conference9th International Conference on e-Learning, ICEL 2014
Country/TerritoryChile
CityValparaiso
Period26/06/1427/06/14

Keywords

  • Augmented reality
  • Location-based adaptive mobile learning
  • Object identification

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