Artificial Neural Network in Virtual Reality : A Survey - Ecole Nationale d'Ingénieurs de Brest Accéder directement au contenu
Article Dans Une Revue International Journal of Virtual Reality Année : 2015

Artificial Neural Network in Virtual Reality : A Survey

Résumé

Virtual reality (VR) is defined as a 3-dimensional (3D), artificially simulated environment which allows the user to immerse himself/herself in it. From rehabilitation to data visualization, VR has been found to have many profound applications over the past decade or so. The addition of a suitable interface (e.g: haptics) is necessary in order to improve the quality of interaction with VR. Artificial Neural Network (ANN), a learning algorithm [i.e., a mathematical representation of any form of biological activity], which is one of the most widely adopted algorithms, is used for maintaining the properties of virtual reality (i.e., Immersivity and Interactivity). The primary objective of this review is to explore the limitless possibilities through the integration of ANN and VR. In addition to this, it also highlights the fact that an incumbent association of VR and ANN can lead to the construction of a highly interactive and immersive module in virtual reality.
Fichier non déposé

Dates et versions

hal-01530626 , version 1 (31-05-2017)

Identifiants

  • HAL Id : hal-01530626 , version 1

Citer

G. Sharma, Sushil Chandra, Saraynya Venkatraman, Alok Mittal, Vijander Singh. Artificial Neural Network in Virtual Reality : A Survey. International Journal of Virtual Reality, 2015, 15 (02), pp.44-52. ⟨hal-01530626⟩

Collections

ENIB CERV
21 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More