Short Paper: #SEVEN, a Sensor Effector Based Scenarios Model for Driving Collaborative Virtual Environment - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2014

Short Paper: #SEVEN, a Sensor Effector Based Scenarios Model for Driving Collaborative Virtual Environment

Abstract

In this paper we present #SEVEN, a sensor effector model that enables the execution of complex scenarios for driving Virtual Reality applications. #SEVEN is based on an enhanced Petri net model which is able to describe and solve intricate event sequences. Our model also proposes several useful features for the design of collaborative scenarios for Collaborative Virtual Environments such as versatile roles and Activity Continuum. We also illustrate its usage it by describing a demonstrator that presents an implementation of our model.
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Dates and versions

hal-01086237 , version 1 (03-12-2014)

Identifiers

  • HAL Id : hal-01086237 , version 1

Cite

Guillaume Claude, Valérie Gouranton, Rozenn Bouville Berthelot, Bruno Arnaldi. Short Paper: #SEVEN, a Sensor Effector Based Scenarios Model for Driving Collaborative Virtual Environment. ICAT-EGVE, International Conference on Artificial Reality and Telexistence, Eurographics Symposium on Virtual Environments, Dec 2014, Bremen, Germany. pp.1-4. ⟨hal-01086237⟩
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