| 퍼스널컬러 유형 진단 알고리즘 생성을 위한 얼굴색도 분포에 관한 연구 -Z세대를 중심으로- |
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최민령 |
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서경대학교 미용예술대학 뷰티테라피&메이크업학과 메이크업 전공 |
| Study on the Face color Distribution aimed at Creating Algorithms to Determine the Personal Color Type -focused on Z generation- |
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Min-lyoung Choi |
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Dept. of Beauty Therapy&Makeup, The College of Beauty Art, SeoKyeong University |
Correspondence:
Min-lyoung Choi, Tel: 82-21-940-7840,
Email: cmlstyle@gmail.com
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Received: 24 September 2020 • Revised: 6 November 2020 • Accepted: 27 January 2021 |
| Abstract |
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Brand-new AI-mounted beauty devices are correspondingly launched, with the Z generation in preference for online information anduntact communication emerging as the mainstay of consumption. The growing personalized beauty industry has seen personal colorextensively utilized in creating a variety of contents representing everyone’s own unique beauty. In determining the personal color type,sensory evaluation is generally carried out with the tool in which changes in face color and ensuing changes in facial features areobserved through visual means. This evaluation, used with a specific tool, is not easily available to consumers. And it may producedifferent results by an evaluator’s subjective judgement and its surrounding circumstances. Thus, there is a need for cutting-edge devicesto conveniently provide a correct diagnostic service. Therefore, with the tool assuring an accurate measurement in optimal circumstances,we measured the face colors of the 496 women in their 20s, determining their personal color types to provide basic data for creating theface color algorithms to determine the personal color types. The face color measurement by personal color type showed that based on theaverage value, the spring type was calculated at L*=63.72, a*=12.42, b*=14.79, the summer type, L*=61.94, a*=13.02, b*=15.24, theautumn type, L*=62.59, a*=12.56, b*=16.01, and the winter type, L*=62.03, a*=12.77, b*=15.94. A look at the measurement by facepart and the contribution by face part revealed that the lightness, the redness and the yellowness of left cheek and forehead except theredness of right cheek made significant difference among themselves. The lightness of all face parts in the spring type of personal colorwas the highest, their yellowness was lower than those in the autumn type and the winter type. The redness of glabella in the spring typewas lower than that in the summer type. In the summer type, the lightness of all face parts was lower than that in the spring type, andthe redness of left cheek and glabella was lower than that in the autumn type, while their yellowness was lower than those in the autumntype and the winter type. In the autumn type, the lightness of right cheek was lower than that in the spring type, and the redness of leftcheek and glabella was lower than that in the summer type, while the yellowness of all face parts was higher than those in the springtype and the summer type. In the winter type, the lightness of all face parts was lower than that in the spring type and the yellowness ofright cheek was higher than that in the spring type, while the yellowness of left cheek and glabella was higher than those in the springtype and the summer type. In conclusion, of all face parts it was the left cheek that proved decisive in determining personal color types,with the yellowness turning out to be an important variable in the face color measurement - a requirement for follow-up research into it. |
| Key Words:
PAlgorithms, Face Color, ersonal Color |
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