Frameworks Enabling Ubiquitous Mixed Reality Applications Across Dynamically Adaptable Device Configurations Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.3389/frvir.2022.765959
If Mixed Reality applications are supposed to become truly ubiquitous, they face the challenge of an ever evolving set of hardware and software systems - each with their own standards and APIs–that need to work together and become part of the same shared environment (the application). A unified standard is unlikely so we can not rely on a single software development stack to incorporate all necessary parts. Instead we need frameworks that are modular and flexible enough to be adapted to the needs of the application at hand and are able to incorporate a wide range of setups for devices, services, etc. We identified a set of common questions that can be used to characterize and analyze Mixed Reality applications and use these same questions to identify challenges as well as present solutions in the form of three frameworks tackling the fields of tracking and inference (UbiTrack), interaction (Ubi-Interact) and visualization (UbiVis). Tracking and inference has been addressed for quite some time now while interaction is a current topic with existing solutions. Visualization will be focused more in the future. We present several applications in development together with their future vision and explain how the frameworks help realize these and other potential apps.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/frvir.2022.765959
- https://www.frontiersin.org/articles/10.3389/frvir.2022.765959/pdf
- OA Status
- gold
- Cited By
- 10
- References
- 88
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4225990612
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4225990612Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/frvir.2022.765959Digital Object Identifier
- Title
-
Frameworks Enabling Ubiquitous Mixed Reality Applications Across Dynamically Adaptable Device ConfigurationsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-04-04Full publication date if available
- Authors
-
Sandro Weber, Linda Rudolph, Sven Liedtke, Christian Eichhorn, Daniel Dyrda, David A. Plecher, Gudrun KlinkerList of authors in order
- Landing page
-
https://doi.org/10.3389/frvir.2022.765959Publisher landing page
- PDF URL
-
https://www.frontiersin.org/articles/10.3389/frvir.2022.765959/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.frontiersin.org/articles/10.3389/frvir.2022.765959/pdfDirect OA link when available
- Concepts
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Computer science, Set (abstract data type), Modular design, Human–computer interaction, Visualization, Inference, Augmented reality, Software, Data science, Software engineering, Artificial intelligence, Programming language, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 1, 2023: 2, 2022: 2Per-year citation counts (last 5 years)
- References (count)
-
88Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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