Smell Sensory System In m-Commerce- A Case Study

This paper analyzing two purposes. Purpose-i, the way by which the customers could buy perfume online; the basic level of smell could be identified then made combination and bringing to the multiple levels of smells. It discusses how to record the smell from the basic level to the multiple levels in smells, it could be done by deploying the autocorrelation method and recorded as binary bits then it could be stored as a data set in the memory, so that users could select/customize their desired perfume through online from any corner of the world; it could be given as a decimal number/ flavor names/ pointing some pictures of a flower at the user interface mode or sense the scent and choose the desired perfume by using our atomizer, o/p device directly. Then purpose-ii, a patient could be identified about his molecule range by his body odor/excrete matter’s odor online, which could help the physician to diagnose the patient’s health issue. This terminology could be referred as i/p device OIA, Olfaction Identifier & Analyzer. So that anybody could test their molecule range online. This paper is analyzing the smell sensory nervous system and also leads to a new output device (atomizer), and an input (OIA) device (to be implemented) to spray and absorb the smell through the mobile device respectively. Thus the commercial work could be successfully done either it’s buying a perfume or finding the molecule range of health condition.