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.