摘要
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.
| 原文 | English |
|---|---|
| 主出版物標題 | 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings |
| 發行者 | Institute of Electrical and Electronics Engineers Inc. |
| 頁面 | 1674-1677 |
| 頁數 | 4 |
| ISBN(電子) | 9789881476890 |
| 出版狀態 | Published - 2021 |
| 事件 | 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Tokyo, Japan 持續時間: 2021 12月 14 → 2021 12月 17 |
出版系列
| 名字 | 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings |
|---|
Conference
| Conference | 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 |
|---|---|
| 國家/地區 | Japan |
| 城市 | Tokyo |
| 期間 | 21-12-14 → 21-12-17 |
UN SDG
此研究成果有助於以下永續發展目標
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SDG 3 良好的健康和福祉
All Science Journal Classification (ASJC) codes
- 人工智慧
- 電腦視覺和模式識別
- 訊號處理
- 儀器
指紋
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