• 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.

• 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.

• Korean Journal of Health Education and Promotion
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• v.26 no.4
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• pp.11-22
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• 2009

Objectives: The researchers investigated the relationship between sleep pattern (circadian rhythm/sleep deprivation), eating habit, and the perceived skin condition of female adults, in orders to provide valuable information to women who want to maintain healthy skin and professionals in health promotion. Methods: The participants were 297 female adults whose ages ranged from 20 to 60 (M=35.14, SD=10.37). The questionnaires and psychological tests used in this research included the following: Circadian Rhythm Questionnaire, Sleep Deprivation Scale, Eating Habit Questionnaire, Skin Condition Questionnaire, Scale for Perceived Skin Health. Results: Results indicated that evening type women had more fatty skin and felt their skins less healthier than morning type. Although women who did not deprived their sleep had more fatty and sensitive skin and felt their skins less healthier than women who deprived their sleep, sleep deprivation was positively related to the morningness, and the morningness was negatively related to the preference of fatty and spicy foods. Only the preference of fatty foods among eating habit was positively related to the fatty and sensitive skin, and negatively to the perceived skin health. Regression analyses with circadian rhythm and the preference of fatty foods revealed that only circadian rhythm was significant predictor for the fatty skin, while the preference of fatty foods was only significant predictor for the sensitive skin and the perceived skin health. And, circadian rhythm and the preference of fatty foods accounted for around 12.0% variance of the fatty skin. Conclusion: This study reiterates the roles of fatty foods on skin health, and found the role of circadian rhythm on skin health, and it is needed to explore the relationship between sleep deprivation and skin condition further. These results may provide useful information for health practitioners.

• 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.

• Journal of Nutrition and Health
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• v.43 no.3
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• pp.233-245
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• 2010

The purpose of this study was to investigate the effects of dietary habits and nutrient intakes on skin condition of female university students. The subjects were 95 female university students in Daegu. This study examined anthropometric measurements, dietary intake, food intake habits and skin condition (moisture, elasticity, sebum (U-zone, T-zone), pores, evenness and melanin pigmentation. The subjects in this study had an average age of 21.4, an average height and weight of 161.2 cm and 52.9 kg, respectively, and the average body mass index (BMI) was 20.3 $kg/m^2$. The means of skin elasticity, pores, evenness, and melanin pigmentation were within the normal range of women in their 20s and the skin moisture state was slightly lower than the normal range, which showed a dry tendency. The sebum in the U-zone and the T-zone was lower than the standard values, which showed less secretion in both areas. The subjects with high nut intake showed a better skin pore state (p < 0.05). Those with a high intake of instant foods showed a sig-nificantly low skin moisture and a significantly higher sebum rate (p < 0.05). The group with high skin elasticity and the group with less melanin pigmentation showed a significantly low animal protein intake (p < 0.05). The group with high skin elasticity also showed a significantly higher vitamin A and niacin intakes as well (p < 0.05). The group with high skin evenness showed a significantly lower animal lipid intake and a significantly higher vitamin E intake (p < 0.05). In addition, those with high skin elasticity and evenness as well as low melanin pigmentation showed a tendency of high intake of antioxidant vitamins, such as vitamin A, carotene, vitamin C or vitamin E. In summary, a moderate intake of plant-based products and also the antioxidant vitamins within such products seems to have a beneficial effect on maintaining a healthy and good skin condition.

• 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.

• ETRI Journal
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• v.38 no.4
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• pp.776-786
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• 2016

The fairly recent standard of equipping mobile devices with advanced imaging sensors has opened the possibility of conveniently diagnosing skin conditions, anywhere, anytime. For this application, we attempted to estimate skin conditions from a skin image taken by a mobile handheld camera. To estimate the skin conditions, we specifically identified three skin features (pigmentation, pores, and roughness) that can be measured quantitatively from a skin image. The experimental data indicate that the existing thresholding methods are inappropriate for extracting the pigmentation and pore skin features. Thus, we propose a new line-fitting based thresholding method for skin feature detection. We thoroughly evaluated our proposed skin condition estimation method using our skin image database. The experimental results show that our proposed thresholding method can better determine the threshold leading to the most visually plausible detection, when compared to existing methods. We also confirmed that skin conditions can be feasibly estimated using a common mobile handheld camera (for example, a smartphone).

• 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.

• KIEAE Journal
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• v.15 no.4
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• pp.29-35
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• 2015

Purpose: Double skin facade is a representative advantageous passive technology of building skin in the aspect of energy saving and environment improvement, reduces heat loss with buffer space in winter season and enhances indoor air and comfort of residents by activating natural ventilation in mid-season. However, in summer season, temperature increase in the intermediate space due to solar energy from exterior transparent skin could be a potential problem; also, relatively weak buoyancy of air caused by low density difference between double-skin facade could increase cooling load as air of intermediate space in high temperature hangs. However, proof data is insufficient to objectify such phenomenon. Method: In this study, researchers surveyed air temperature of intermediate space and airflow and diagnosed its cause targeting on applied multistory facade in the building which gives thermal uncomfort to residents. Also, the researchers produced Solar-air heat transfer coefficient meter, measured thermal boundary condition of double-skin facade, and presented the result of measurement as an objectified verification material regarding overheating phenomenon in the intermediate space of double-skin facade in summer season. Result: Inefficient condition was verified that total heat increases and overheating due to insufficient natural ventilation in multistory facade. In addition, logic behind preceding research was objectified and verified regarding high temperature phenomenon in the intermediate space which could increase cooling load in summer season.