@inproceedings{c907019b6341445f9aead69e15a81930,
title = "Smart Facial Skincare Products Using Computer Vision Technologies",
abstract = "Acne is a skin issue that plagues many young people and adults. Even if it is cured, it leaves acne spots or acne scars, which drives many individuals to use skincare products or undertake medical treatment. On the contrary, the use of inappropriate skincare products can exacerbate the condition of skin. In view of this, this work proposes the use of computer vision technology to realize a new business model of facial skin care products based on the concept of unmanned stores. Skin care products recommendation system provides consumers with professional skin analysis through skin type classification and acne detection to recommend skin care products that improve skin issues of consumers finally. Experimental results show that the comparison of the skin type classification accuracy is the highest. ",
author = "Chan, {Hung Tse} and Lin, {Ting Yu} and Deng, {Shih Chun} and Hsia, {Chih Hsien} and Lai, {Chin Feng}",
note = "Publisher Copyright: {\textcopyright} 2021 APSIPA.; 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 ; Conference date: 14-12-2021 Through 17-12-2021",
year = "2021",
language = "English",
series = "2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1674--1677",
booktitle = "2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings",
address = "United States",
}