PROPOSAL OF EMOTION RECOGNITION SERVICE IN MOBILE HEALTH APPLICATION

Mobile health industry has been combined with IT technology and is attracting attention, and Health Application has been developed to provide users a healthy life style. For this reason, this research intends to suggest a service that fulfills physical wellness, spiritual wellness, and emotional wellness in an aspect of lifestyles of wellness which is an expanded concept of health. Firstly 5 mobile health applications were selected and reviewed in terms of their service trend, and as a result, it turned out that none of those applications had any emotional data but physical one. Additionally, to extract users’ emotion, technological researches were sorted into different categories and analyzed. And the result suggested that text-based emotion recognition technology that enables judging users’ past memory and their tendency and personality is the most suitable for the mobile health service. To design process of emotion recognition system based on the contents of the research, one-dimension emotion model, which is the standard of classifying emotional data and social network service, was set up as a source. Also, using Texblob that provides natural language process, an emotion recognition system that follows the researched process, was developed. Additionally, to study how to approach in aspects UX in this system, it has been combined with persuasive technology. As a result, periodical proposal type service could be shown in 25 ways according to 5 different. In other words, a proposal type service of a health application that considers psychology-cognitive factors such as spiritual wellness and emotional wellness is suggested as a result of the study. In the future, accuracy judgment, development of health application prototype, and satisfaction of proposal type service according to emotion, should be studied.