Perfume matching system with internet of things-based body odor analysis sensing

Background: Beauty products and services stimulate consumers’ sensitivity, and their values increase as a result of mechanization and automation. Among five senses of human beings, the sense of smell is known as what people tend to remember for the longest time among five senses. Perfumes for olfactory expression can be used situationally and serve as a second layer of fashion. Moreover, the aroma of the same perfume may differ among individuals when it combines with skin-secreted body odors. Objective: This study aims to provide basic data for the growth of smart beauty and perfume as a future high value-added market by developing a customized perfume service device that analyzes individual body odor and matches recommends personalized perfume via information technology (IT) and services. Methods: This study develops a perfume recommendation system for store customers. The device employs a body odor analysis sensor to sense the body odors of customers; subsequently, it transmits the data to the management server through a network. The management server stores and manages each customer’s information in a database and uses it to generate personalized recommendation of perfume products. Results: We collected data associated with body-odor-inducing substances using an appropriate sensor, and gathered the temperature and humidity data via internet of things (IoT) devices. The aforementioned sensory data were sent to the management server through communication modules and verified via smartphone using the JavaScript object notation (JSON) method. Conclusion: The device analyzes constituent information relating to body odor and recommends suitable products to the customer, thereby improving customer satisfaction. Furthermore, the app developed in this study can contribute to the growth of the smart beauty and smart perfume industries as high value-added industries in future markets. KCI Citation Count: 0