• 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.

• 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 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
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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.

• 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.

• Journal of Physiology & Pathology in Korean Medicine
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• v.25 no.4
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• pp.755-758
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• 2011

Sasang Constitutional Medicine (SCM) suggests the concept of health condition which is owned of different properties by each Sasang Constitution. But SCM theory has concentrate to explaining different symptoms that distinguish health condition, not much concerned with practical methods like face features, pulse diagnosis, skin surface properties and voice features. Physical properties of practical diagnosis methods from literature finding have been researched. As a result, complexion and face moisture were described to be physical properties related to health State. In scope of pulse diagnosis, depth, rate, contour, width and pressure are related. Skin surfaces' elasticity, moisture, fraction properties were also suggested as factors of health State of Sasang Constitution. We assume that this study would contribute further studies for objectifying and quantifying diagnosis methods to evaluate health state grades of Sasang Constitution.

• Journal of Korean Medical classics
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• v.31 no.3
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• pp.33-58
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• 2018

Objectives : Literatures related to Bianque are studied to discover the path of development and the impact of Bianque school's pulse diagnosis system. Methods : Texts regarding Bianque were searched in history books such as Shiji and Zhanguoce, and medical texts such as the medical books of Mawangdui Han Tomb, Huangdineijng, Maijing, and Qianjinyifang to understand how the Bianque school's pulse diagnosis system was developed. Results : 1. Bianque school's pulse diagnosis system was used to inspect the distribution pattern of blood vessels and discover the location of the disease including the palpatation realm such as only hard or only fall. 2. The system of inspection was created when the diagnosis method that uses the color of the pulse by using the color of blood vessels was added to the diagnostic method of pulse condition. 3. Adding the concept of pulse to the visual information that derives from pulse condition becomes pulsation. This is a diagnostic method that falls under the realm of palpation, and it was used to discover the location of disease. 4. The qi of pulse is motor that induces pulse, and this concept is used in order to understand how normal and abnormal pulsations appear, and to treat the circulation disorder of qi and blood. 5. Cubit skin examination is a method that comprehensively take into account the upper arm skin's cold and heat, slippery and roughness, and relax and tension state. This method was used together with other diagnostic methods. As described above, it seems that the diagnostic method with blood vessels used by Bianque school seems to have developed from Bianque's special inspection ability to the stage where it uses palpation, and then to the stage of cubit skin examination which uses both palpation and inspection.

• 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 Ophthalmology and Otolaryngology and Dermatology
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• v.20 no.1 s.32
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• pp.228-238
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• 2007

Objectives ; Sasang Constitional Medicine is a part of Korean traditional Medicine, and classify human constitution into four types. Scalp and hair is a part of skin. Skin is one of constitutional charasteristic element. So we researched a correlation between Sasang constitutions and Korean adult scalp and hair condition. This is a basic study to find constitution can be a important factor to care scalp and hair. Methods ; We examined Sasang constitutions and scalp and hair condition of 80 human who aged from 20-50. Scalp disease, dandruff was observed by video micro scope and sebum tape diagnosis. Thickness of hair was measured by Laser Scan Micrometer(LSM-3100). Itching sense and life habit was also investigated. Constitution diagnosis and scalp, hair diagnosis was investigated seperately as a blind test and the data was statistically analyzed with chi-square test, correlation analysis, one-way analysis of varience. Results ; 1. In Sasang Constitution, Taeumin group had significant tendency of oilily scalp. 70% of Taeumin group had oilily scalp. 2. The group of dry or oilily scalp had more itching sense and more sensativity of scalp compaired to neuter scalp group. 3. There was no correlation between height, weight, thickness of hair, itching sense, scalp disease and Sasang constitution. 4. There was correlation between loss of hair and drinking alcohol, obesity, curly hair, soft scalp. Conclusions ; Korean adult scalp and hair condition had correlation with Sasang constitution.

• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.191-203
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• 2022

In this paper, we developed a system that intelligently identifies skin image data from big data collected from social media Instagram and extracts standardized skin sample data for skin condition diagnosis and management. The system proposed in this paper consists of big data collection and analysis stage, skin image analysis stage, training data preparation stage, artificial neural network training stage, and skin image identification stage. In the big data collection and analysis stage, big data is collected from Instagram and image information for skin condition diagnosis and management is stored as an analysis result. In the skin image analysis stage, the evaluation and analysis results of the skin image are obtained using a traditional image processing technique. In the training data preparation stage, the training data were prepared by extracting the skin sample data from the skin image analysis result. And in the artificial neural network training stage, an artificial neural network AnnSampleSkin that intelligently predicts the skin image type using this training data was built up, and the model was completed through training. In the skin image identification step, skin samples are extracted from images collected from social media, and the image type prediction results of the trained artificial neural network AnnSampleSkin are integrated to intelligently identify the final skin image type. The skin image identification method proposed in this paper shows explain high skin image identification accuracy of about 92% or more, and can provide standardized skin sample image big data. The extracted skin sample set is expected to be used as standardized skin image data that is very efficient and useful for diagnosing and managing skin conditions.