Short Paper: #SEVEN, a Sensor Effector Based Scenarios Model for Driving Collaborative Virtual Environment - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

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

Résumé

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.

Mots clés

Fichier principal
Vignette du fichier
EGVE2014.pdf (152.9 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

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

Identifiants

  • HAL Id : hal-01086237 , version 1

Citer

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⟩
869 Consultations
433 Téléchargements

Partager

Gmail Facebook X LinkedIn More