Summary

International Conference on Emerging Technologies for Communications

2022

Session Number:S8

Session:

Number:S8-3

Supervised Data Construction Method for Clothing Coordination Support System

Marina Ooi,  Haruhisa Hasegawa,  

pp.-

Publication Date:2022/11/29

Online ISSN:2188-5079

DOI:10.34385/proc.72.S8-3

PDF download (984.3KB)

Summary:
When people act in the proper outfits, they are comfortable and can behave confidently. Deciding what to wear, however, requires complex decisions and much time, which is precious while preparing for going out as clothing coordination depends on the user’s preferences, weather, season, occasion, etc. Moreover, there are usually many clothes to choose from, and it is difficult to remember them all. Therefore, the authors propose a clothing coordination support system that efficiently selects appropriate clothing. The system is implemented as a mobile application, with machine learning running on the backend. This machine learning process assists in clothing selection. In this paper, we propose a method for constructing supervised data to improve the correctness rate for making more accurate clothing selection decisions.