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This study aims to provide customized skin care services for the elderly living alone. To this end, an AI-based digital skin analysis system using deep learning technology and skin analysis algorithms was used to measure skin and analyze skin features according to skin type. The results of the study are summarized below. First, the skin condition of the elderly varies depending on the age, gender, and lifestyle of the subjects, so it is necessary to accurately diagnose and analyze the skin in advance to support customized beauty care. Second, aging skin is more likely to have an imbalance of oil and moisture compared to other ages, so a care program that can restore it is necessary. Third, a special care program should be implemented for wrinkles, elasticity, and pigmentation. In conclusion, in order to manage aging skin healthily, digital technology should be used to diagnose skin types more accurately and build management programs accordingly. The elderly living alone are often emotionally depressed and have low self-esteem. They need customized beauty care, but currently, beauty care services are mainly centered on hair care, so it is necessary to activate service support in the area of skin care. It is expected that it will be possible to properly diagnose their skin condition, find problems and provide solutions, and establish a series of customized skin care programs to help them age well.
Choi et al. (Mon,) studied this question.
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