The AREA Framework for Location-Based Smart Mobile Augmented Reality Applications

Pryss, Rüdiger and Geiger, Philip and Schickler, Marc and Schobel, Johannes and Reichert, Manfred (2017) The AREA Framework for Location-Based Smart Mobile Augmented Reality Applications. International Journal of Ubiquitous Systems and Pervasive Networks (JUSPN), 9 (1). pp. 13-21. ISSN 1923-7332

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During the last years, the computational capabilities of smart mobile devices have been continuously improved by
hardware vendors, raising new opportunities for mobile application engineers. Mobile augmented reality can be
considered as one demanding scenario demonstrating that smart mobile applications are becoming more and more
mature. In the AREA (Augmented Reality Engine Application) project, we developed a powerful kernel that enables
location-based, mobile augmented reality applications. On top of this kernel, mobile application developers can realize sophisticated individual applications. The AREA kernel, in turn, allows for both robustness and high performance. In addition, it provides a flexible architecture that fosters the development of individual location-based mobile augmented reality applications. As a particular feature, the kernel allows for the handling of points of interests (POI) clusters. Altogether, advanced concepts are required to realize a location-based mobile augmented reality kernel that are presented in this paper. Furthermore, results of an experiment are presented in which the AREA kernel was compared to other location-based mobile augmented reality applications. To demonstrate the applicability of the kernel, we apply it in the context of various mobile applications. As a lesson learned, sophisticated mobile augmented reality applications can be efficiently run on present mobile operating systems and be effectively realized by engineers using the AREA framework. We consider mobile augmented reality as a killer application for mobile computational capabilities as well as the proper support of mobile users in everyday life.

Item Type: Article
Subjects: DBIS Research > Publications
Divisions: Faculty of Engineering, Electronics and Computer Science > Institute of Databases and Informations Systems > DBIS Research and Teaching > DBIS Research > Publications
Depositing User: Ruediger Pryss
Date Deposited: 12 Jul 2017 09:49
Last Modified: 12 Jul 2017 09:49

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