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AnArU, a virtual reality framework for physical human interactions

Authors: Selzer, Matías Nicolás; Larrea, Martín Leonardo;

AnArU, a virtual reality framework for physical human interactions

Abstract

Virtual Reality has become, once again, a popular and interesting topic, both as a research and commercial field. This trend has its origin in the use of mobile devices as computational core and displays for Virtual Reality. Android is one of the most used platform in this context and Unity3d is a suitable graphic engine for such platform. In order to improve the immersive experience, some electronic devices, Arduino especially, are used to gather information, such as the movement of the user's arms or legs. Although these three elements are often used in Virtual Reality, few studies use all of them in combination. Those who do, do not develop a reusable framework for their implementations. In this work we present AnArU, a framework for physical human interaction in Virtual Reality. The goal of AnArU is to allow an easy, efficient and extensible communication between electronic devices and the Virtual Reality system.

XIII Workshop Computación Gráfica, Imágenes y Visualización (WCGIV)

Red de Universidades con Carreras en Informática (RedUNCI)

Country
Argentina
Related Organizations
Keywords

Android, human computer interaction, Ciencias Informáticas, Arduino, Unity3d, Virtual reality

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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