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Proceedings Paper

3D interactive augmented reality-enhanced digital learning systems for mobile devices
Author(s): Kai-Ten Feng; Po-Hsuan Tseng; Pei-Shuan Chiu; Jia-Lin Yang; Chun-Jie Chiu
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Paper Abstract

With enhanced processing capability of mobile platforms, augmented reality (AR) has been considered a promising technology for achieving enhanced user experiences (UX). Augmented reality is to impose virtual information, e.g., videos and images, onto a live-view digital display. UX on real-world environment via the display can be e ectively enhanced with the adoption of interactive AR technology. Enhancement on UX can be bene cial for digital learning systems. There are existing research works based on AR targeting for the design of e-learning systems. However, none of these work focuses on providing three-dimensional (3-D) object modeling for en- hanced UX based on interactive AR techniques. In this paper, the 3-D interactive augmented reality-enhanced learning (IARL) systems will be proposed to provide enhanced UX for digital learning. The proposed IARL systems consist of two major components, including the markerless pattern recognition (MPR) for 3-D models and velocity-based object tracking (VOT) algorithms. Realistic implementation of proposed IARL system is conducted on Android-based mobile platforms. UX on digital learning can be greatly improved with the adoption of proposed IARL systems.

Paper Details

Date Published: 4 March 2013
PDF: 7 pages
Proc. SPIE 8649, The Engineering Reality of Virtual Reality 2013, 864908 (4 March 2013); doi: 10.1117/12.2003505
Show Author Affiliations
Kai-Ten Feng, National Chiao Tung Univ. (Taiwan)
Po-Hsuan Tseng, National Taipei Univ. of Technology (Taiwan)
Pei-Shuan Chiu, National Chiao Tung Univ. (Taiwan)
Jia-Lin Yang, National Chiao Tung Univ. (Taiwan)
Chun-Jie Chiu, National Chiao Tung Univ. (Taiwan)


Published in SPIE Proceedings Vol. 8649:
The Engineering Reality of Virtual Reality 2013
Margaret Dolinsky; Ian E. McDowall, Editor(s)

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