An open software architecture for virtual reality interaction
Abstract
This article describes OpenTracker, an open software architecture that provides a framework for the different tasks involved in tracking input devices and processing multi-modal input data in virtual environments and augmented reality application. The OpenTracker framework eases the development and maintenance of hardware setups in a more flexible manner than what is typically offered by virtual reality development packages. This goal is achieved by using an object-oriented design based on XML, taking full advantage of this new technology by allowing to use standard XML tools for development, configuration and documentation. The OpenTracker engine is based on a data flow concept for multi-modal events. A multi-threaded execution model takes care of tunable performance. Transparent network access allows easy development of decoupled simulation models. Finally, the application developer's interface features both a time-based and an event based model, that can be used simultaneously, to serve a large range of applications. OpenTracker is a first attempt towards a "'write once, input anywhere"' approach to virtual reality application development. To support these claims, integration into an existing augmented reality system is demonstrated. We also show how a prototype tracking equipment for mobile augmented reality can be assembled from consumer input devices with the aid of OpenTracker. Once development is sufficiently mature, it is planned to make Open-Tracker available to the…
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New AI technologies can help acquire and analyze data from several sources and infer or predict accurate information about a target object.
“However, new AI technologies can help in acquiring and analyzing data from several sources and thus infer and even predict accurate information about a target object [133].”
From Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020) · cites this paper as [133]
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Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models
Minerva, R., Lee, G. M., & Crespi, N. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2020.2998530 · Cited by 812 · see citing works
- Authors
- Reitmayr, G., & Schmalstieg, D.
- Affiliations
- TU Wien (AT)
- ORCID
- Schmalstieg, Dieter
- Venue
- Proceedings of the ACM symposium on Virtual reality software and technology - VRST '01
- Publisher
- ACM Press
- Published
- 2001
- OpenAlex
- W4231935244
- Cited by
- 30
- References
- 0
- Citations by year
- 2020: 1 · 2019: 1 · 2018: 1 · 2017: 4 · 2014: 2 · 2013: 2 · 2012: 4
- FWCI
- 1.77
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM Symposium on Virtual Reality Software and Technology (VRST) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Physical Sciences › Engineering › Mechanical Engineering › Teleoperation and Haptic Systems
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
- Keywords
- virtual reality interaction, multimodal input, augmented reality, object-oriented design, XML, data flow, multi-threaded execution, network transparency, decoupled simulation, mobile augmented reality, open source software, software architecture
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