Configuration of the system for a fashion coordination service based on clothes life logs

As human interfaces enhanced by augmented reality (AR) and ubiquitous service environments begin to take hold in society, researches are undertaken on daily life support services that focus on the availability of life logs. This paper presents an intelligent mirror (IM) system that is intended to assist the user with fashion coordination based on his/her clothes life logs. A clothes life log used here consists of several information elements: a photo image of clothes worn by the user, the number of times a particular set of clothes has been worn, its category, its wear comfort, and the occasion when it was worn (place, temperature, sky conditions, and wind speed). The system recommends clothes suitable for the conditions of a particular day. This paper defines equations used to determine the degree of similarity between the user's requirements and data in his/her clothes life logs, and presents an algorithm for recommending suitable clothes. An experimental system of the proposed IM was developed and was used to evaluate the effectiveness of the proposed algorithm based on clothes life log data collected over 80 days.