• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.267-275
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• 2021

Skin condition is an important concern in beauty aspect. This study considered a rough skin condition analysis method that beauty industry workers can do through visual observation or skin condition images taken with smartphones. First, studies that combine subjective and objective evaluations were selected among degree papers and academic papers searched by keywords related to 'skin condition' in the Research Information Sharing Service(RISS). Among them, papers that derive correlations with visually verifiable factors were selected. Next, the relationship between factors that match subjective skin condition and objective skin measurement results and factors that can be visually identified on the skin surface was investigated. According to the study, the most suitable factor for matching subjective and objective evaluations was 'oil volume', which is significantly related to 'pore', 'skin texture' and 'erythema', which can be visually checked on the skin surface. It is believed that a rough skin condition analysis will be possible using this.

• Journal of Advanced Information Technology and Convergence
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• v.8 no.2
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• pp.47-58
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• 2018

In this paper, we propose a method for skin condition analysis using a camera module embedded in a smartphone without a separate skin diagnosis device. The type of skin disease detected in facial image taken by smartphone is acne, pigmentation, blemish and flush. Face features and regions were detected using Haar features, and skin regions were detected using YCbCr and HSV color models. Acne and flush were extracted by setting the range of a component image hue, and pigmentation was calculated by calculating the factor between the minimum and maximum value of the corresponding skin pixel in the component image R. Blemish was detected on the basis of adaptive thresholds in gray scale level images. As a result of the experiment, the proposed skin condition analysis showed that skin diseases of acne, pigmentation, blemish and flush were effectively detected.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.137-147
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• 2022

Diagnosis and management of skin condition is a very basic and important function in performing its role for workers in the beauty industry and cosmetics industry. For accurate skin condition diagnosis and management, it is necessary to understand the skin condition and needs of customers. In this paper, we developed SCIS, a big data-based skin care information system that supports skin condition diagnosis and management using social media big data for skin condition diagnosis and management. By using the developed system, it is possible to analyze and extract core information for skin condition diagnosis and management based on text information. The skin care information system SCIS developed in this paper consists of big data collection stage, text preprocessing stage, image preprocessing stage, and text word analysis stage. SCIS collected big data necessary for skin diagnosis and management, and extracted key words and topics from text information through simple frequency analysis, relative frequency analysis, co-occurrence analysis, and correlation analysis of key words. In addition, by analyzing the extracted key words and information and performing various visualization processes such as scatter plot, NetworkX, t-SNE, and clustering, it can be used efficiently in diagnosing and managing skin conditions.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.241-251
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• 2022

Diagnosis and management of customer's skin condition is an important essential function in the cosmetics and beauty industry. As the social media environment spreads and generalizes to all fields of society, the interaction of questions and answers to various and delicate concerns and requirements regarding the diagnosis and management of skin conditions is being actively dealt with in the social media community. However, since social media information is very diverse and atypical big data, an intelligent skin condition diagnosis system that combines appropriate skin condition information analysis and artificial intelligence technology is necessary. In this paper, we developed the skin condition diagnosis system SCDIS to intelligently diagnose and manage the skin condition of customers by processing the text analysis information of social media into learning data. In SCDIS, an artificial neural network model, AnnTFIDF, that automatically diagnoses skin condition types using artificial neural network technology, a deep learning machine learning method, was built up and used. The performance of the artificial neural network model AnnTFIDF was analyzed using test sample data, and the accuracy of the skin condition type diagnosis prediction value showed a high performance of about 95%. Through the experimental and performance analysis results of this paper, SCDIS can be evaluated as an intelligent tool that can be used efficiently in the skin condition analysis and diagnosis management process in the cosmetic and beauty industry. And this study can be used as a basic research to solve the new technology trend, customized cosmetics manufacturing and consumer-oriented beauty industry technology demand.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.27 no.4
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• pp.67-75
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• 2014

Objectives : The aim of present study was to investigate the skin characteristics of twenty-five healthy Korean subjects. These results can be used as basic data for the development of future herbal applications. Methods : Skin type, hair and scalp condition, water content, sebum content were investigated through the measurement of skin conditions and subjective questionnaire survey to know the skin characteristics of subjects. Results : Most of subject has 'Dry Skin' and they have trouble about their keratin(dandruff), scalp itching, alopecia, hair texture, scalp moisture. Conclusions : More studies are needed to investigate the skin characteristics of healthy Korean subjects.

• The Journal of Korean Medicine
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• v.25 no.1
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• pp.161-171
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• 2004

Objectives: Sasang Constitutional Medicine is popularly appliedto treatment in Korea. Constitution is a holistic concept contained internal and external characteristics, and physical traits including ordinary symptoms. Skin is one of constitutional property elements. So we researched a correlation female facial skin and sasang constitution. This is a basic study to find constitution can be a major factor to care and manage skin. Methods: We examined sasang constitution and facial skin condition of 100 healthy women who aged from 30 to 59. Hydration and sebum of facial skin was measured by skin diagnostic instrument and skin type was calculated from the data. Keratin, pore size, acne, and brightness of face was measured by skin magnifying lens and subjective skin troubles in ordinary times was also investigated. Constitution diagnosis and Skin diagnosis was investigated separately as a blind test andthe data was statistically analyzed with chi-square test, Correlation analysis, One-way analysis of variance. Results: 1. In sasang constitution, Taeeumingroup bad significant tendencies of larger hydration and sebum amount, combination degree of forehead and cheek was also higher than other constitutions(p<0.05). 2. Facial skin type was significantly different according to Sasang Constitution, Soeumin and Soyangin had a tendency of dry skin comparatively, but Taeeumin had mainly a tendency of combination skin and secondly dry skin(p<0.05). On the other hand, there was no correlation between age and skin type. 3. In subjective skin trouble, Soeumin group had less acne trouble than Soyangin and Taeeumin group(p<0.1). Pore size trouble was more frequent in Soyangin group than Soeumin group(p<0.05). Keratin trouble was more frequent in Soeumin group than Soyangin and Taeumin group(p<0.1). Conclusions: Korean healthy women's skin condition was different according to sasang constitution.

• The Journal of Korean Medicine
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• v.40 no.2
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• pp.133-141
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• 2019

Objectives: The condition of the skin is greatly influenced by seasonal changes. We wanted to know the seasonal change of skin condition and to find out the difference in the efficacy of Seoshiokyongsan (SSOOS) CP soap in spring and autumn. We are to help people who use soap to make a wise choice in choosing a cleanser according to the season. Methods: To investigate the seasonal skin condition, this experiment was conducted to examine the skin condition of spring and autumn in 20 students at A university. To compare the seasonal efficacy of Seosiokyongsan (SSOOS) CP soap, we had skin test 10 students in spring and autumn. We made herbal fermented soaps using SSOOS and distributed them to experiment participants. We let them wash their face in the morning and evening for 6 weeks using herbal fermented soap. Prior to the experiment, their skin condition was checked and assessed using A-ONE Smart One-Click Automatic Facial Diagnosis System three times at 3-week intervals. After the experiment, the changes of skin were measured and analyzed through facial analysis test. Results: In spring and autumn, the oil of T zone and U zone was significantly less and the water content was significantly higher in autumn than in spring. In the case of using the SSOOS CP soap, water content increased and oil content decreased in spring, oil content and elasticity increased in autumn. Conclusion: There is a difference in the skin condition according to the season and SSOOS CP soap showed difference in efficacy in spring and autumn. So we should pay attention to seasonal soap selection.

• The Journal of Korean Medicine
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• v.40 no.1
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• pp.34-45
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• 2019

Objectives : To maintain a healthy skin condition, the role of moisture in the stratum corneum is important. We use soap in our daily life, so we wanted to observe the changes of the skin moisture using herbal CP soap. Four kinds of herbal CP soaps were prepared and their effects on skin moisture were compared. Methods: We surveyed 39 students at A University to determine their subjective skin condition, lifestyle and washing habits. Then, a facial analysis test was performed. We made herbal CP soaps using Kyungohkgo, Hwangryunhaedoktang, Seosiokyongsan and Baeksoooh and distributed them to experiment participants. Prior to the experiment, their skin condition was checked and skin condition was assessed using Facial Diagnosis System three times in total. After the experiment, the change of skin was measured and analyzed. Results: As a result of examining the skin moisture according to the using of the herbal CP soap by the participants, the skin moisture was gradually increased compared with before use. The moisture content increased after 6 weeks of use compared to before using Seosiokyongsan, Hwangryunhaedoktang, Kyungohkgo CP soap compared to before use. But there was no significant difference between 3 weeks and 6 weeks of use compared to before use. As a result of using Baeksoo-oh CP soap, the skin moisture of the experimental participants was continuously increased. Conclusion: Natural CP soaps are believed to have a beneficial effect in increasing the moisture content of facial skin.

• Journal of Convergence for Information Technology
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• v.9 no.6
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• pp.211-217
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• 2019

In this study, the change of skin condition was analyzed by skin analysis equipment using scrub cosmetics, and the morphological characteristics of microbead were observed by dermascope and scanning electron microscope. In the dermascope observation, during the process of cleansing, the microbeads attached to the skin existed in close contact with each other or dispersed. The skin after scrubbing was clean and smooth and the fine wrinkles between epidermal keratinocytes were reduced. In the scanning electron microscopic observation, the microbead surface did not have severe bending or rough surface. The skin moisture and oil content were higher than the scrub skin before the scrub, and there was no significant difference in the pH.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.15 no.2
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• pp.159-168
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• 2011

Objectives: The purpose of this study is to develop the pulse wave analysis model with the palpation pressure and the skin effect. Methods: The position of pulse diagnosis was modeled with elastic string system. The skin was modeled with the elastic string, the palpation pressure with tension in the string, and the blood vessel pressure with external force on the string. Using the wave equation in the physics, the simplified pulse model was transformed to the mathematical model. Results: To the verification of the model, the effects of the palpation pressure and the skin effect were tested. Conclusions: There was optimal palpation pressure, describing the exact vessel pressure pattern and maximizing the amplitude of the skin displacement. For the optimal condition, the increased palpation pressure was needed with the increased skin thickness. Therefore, the developed pulse wave analysis model showed the good results.