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• W2068045333 abstract "Applications in the fields of virtual and augmented reality as well as image-guided medical applications make use of awide variety of hardware devices. Existing frameworks for interconnecting low-level devices and high-level applicationprograms do not exploit the full potential for processing events coming from arbitrary sources and are not easily generalizable.In this paper, we will introduce a new multi-modal event processing methodology using dynamically-typedevent attributes for event passing between multiple devices and systems. The existing OpenTracker framework wasmodified to incorporate a highly flexible and extensible event model, which can store data that is dynamically createdand arbitrarily typed at runtime. The main factors impacting the library's throughput were determined and the performancewas shown to be sufficient for most typical applications. Several sample applications were developed to take advantageof the new dynamic event model provided by the library, thereby demonstrating its flexibility and expressive power." @default.
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• W2068045333 date "2007-01-28" @default.
• W2068045333 modified "2023-09-27" @default.
• W2068045333 title "Multimodal event streams for virtual reality" @default.
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• W2068045333 doi "https://doi.org/10.1117/12.706079" @default.
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