Artificial Neural Network Based Smell Simulator for Visualization

Abstract

The continued progress towards higher resolution screen Is a tr experience on the screen and Scentthat’s can be the powerful ashame simulator of memory and emotions. The idea of Smell Simulator for Visualization can make it possible. Smell-O-Vision was a system that released odor during the projection of a film so that the viewer could smell what was happening in the movie. A typical Smell synthesizer is essentially a box of various scented oils with some kind of spreading mechanism, like a fan. The box receives a signal from, for example a video game which tells to release an apple scent. Like in laser printer, this produces all the colours from the three basic colours (Red, Blue and Green). So, if single apple- scented oil isn’t avail would mix to create something close to that desired apple scent. Currently the smell-O-vision system can produce only one smell at a time and that too with increased delay and noise. We have aimed to produce our smell simulator using neural networks so that delay problem can be minimized. Smell Simulator for Visualization can become prevalent in consumer homes, and we can even literally stop and smell the roses in the game we play and shows we watch.