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KMID : 0604520220480010025
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Journal of the Society of Cosmetic Scientists of Korea
2022 Volume.48 No. 1 p.25 ~ p.32
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Development and Application of Skin Age Prediction Model Based on Skin Measurement Data According to Age of 20’s to 40’s ages of Korean Women
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Maeng Ji-Hye
Nam Gae-Won
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Abstract
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In this study, basic skin characteristics data were collected by measuring skin hydration, skin melanin, skin redness, and skin torsion elasticity from Korean women in from 20’s to 40’s ages, and then, age and correlation analysis were conducted. This was used to create a skin index, and cluster analysis was performed to classify the groups into 4 clusters, and the skin characteristics of each cluster were confirmed. Then, two prototypes were used for two weeks to confirm the improvement effect on skin moisture, skin redness, and skin dead mass reduction, and then analyzed which product was more effective in which cluster of subjects participated in the skin characteristics test. As a result of the study, the possibility of preparing for the customized cosmetics market was confirmed by applying the skin index and cluster analysis results to product efficacy evaluation.
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KEYWORD
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skin index, skin characteristic regression analysis, classification skin, clinical study, customized cosmetic
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