• 융합정보논문지
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• 제11권5호
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• pp.267-275
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• 2021

피부상태는 미용적인 측면에서 중요한 관심사이다. 본 연구는 뷰티산업종사자들이 육안관찰 또는 스마트폰 등으로 촬영된 피부상태 이미지를 통하여 할 수 있는 개략적 피부상태 분석방법에 대하여 고찰하였다. 학술연구정보서비스(RISS)에서 '피부상태'와 관련된 키워드로 검색되는 학위논문과 학술논문 중 주관적 평가와 객관적 평가를 병행한 논문, 육안확인이 가능한 요인들과의 상관관계를 도출한 논문을 선별하였고, 주관적인 피부상태와 객관적 피부측정결과가 일치하는 요인과 피부표면에서 육안확인이 가능한 요인과의 관계를 조사하였다. 연구결과, 주관적·객관적 평가가 일치하는 가장 적합한 요인은 '유분량'이었고, 이는 피부표면에서 육안확인이 가능한 '모공', '피부결', '홍반'과 유의미한 상관관계가 있는 것으로 나타났다. 이를 이용하여 개략적인 피부상태 분석이 가능할 것으로 사료된다.

• 한국정보기술학회 영문논문지
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• 제8권2호
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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.

• 한방안이비인후피부과학회지
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• 제27권4호
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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.

• 보건교육건강증진학회지
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• 제26권4호
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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.

• 대한한의학회지
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• 제40권2호
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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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• 제43권3호
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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.

• 한국컴퓨터정보학회논문지
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• 제27권8호
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• pp.241-251
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• 2022

화장품 및 뷰티산업에서 고객의 피부상태 진단과 관리는 중요한 필수기능이다. 소셜미디어 환경이 사회 전 분야에 확산되고 일반화되면서 피부 상태의 진단과 관리에 대한 다양하고 섬세한 고민과 요구 사항의 질문과 답변의 상호작용이 소셜미디어 커뮤니티에서 활발하게 다루어지고 있다. 그러나 소셜미디어 정보는 매우 다양하고 비정형적인 방대한 빅데이터이므로 적절한 피부상태 정보분석과 인공지능 기술을 접목한 지능화된 피부상태 진단 시스템이 필요하다. 본 논문에서는 소셜미디어의 텍스트 분석정보를 학습데이터로 가공하여 고객의 피부상태를 지능적으로 진단 및 관리하기 위한 피부상태진단시스템 SCDIS를 개발하였다. SCDIS에서는 딥러닝 기계학습 방법인 인공신경망 기술을 사용하여 자동적으로 피부상태 유형을 진단하는 인공신경망 모델 AnnTFIDF을 빌드업하여 사용하였다. 인공신경망 모델 AnnTFIDF의 성능은 테스트샘플 데이터를 사용하여 분석되었으며, 피부상태 유형 진단 예측 값의 정확성은 약 95%의 높은 성능을 나타내었다. 본 논문의 실험 및 성능분석결과를 통하여 SCDIS는 화장품 및 뷰티산업 분야의 피부상태 분석 및 진단 관리 과정에서 효율적으로 사용 가능한 지능화된 도구로 평가할 수 있다. 본 논문에서 제안된 시스템은 소셜미디어 기반의 새로운 환경에서 화장품 및 피부미용에 대한 사용자의 요구를 체계적으로 파악하고 진단하는 기초 기술로 사용 가능할 것이다. 그리고 이 연구는 새로운 기술 트렌드인 맞춤형 화장품제조와 소비자중심의 뷰티산업기술 수요를 해결하기 위한 기초 연구로 사용될 수 있을 것이다.

• ETRI Journal
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• 제38권4호
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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).

• 한국컴퓨터정보학회논문지
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• 제27권3호
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• pp.137-147
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• 2022

피부상태의 진단과 관리는 뷰티산업종사자와 화장품산업종사자에게 그 역할을 수행함에 있어서 매우 기초적이며 중요한 기능이다. 정확한 피부상태 진단과 관리를 위해서는 고객의 피부상태와 요구사항을 잘 파악하는 것이 필요하다. 본 논문에서는 피부상태 진단 및 관리를 위해 소셜미디어의 빅데이터를 사용하여 피부상태 진단 및 관리를 지원하는 빅데이터기반 피부관리정보시스템 SCIS를 개발하였다. 개발된 시스템을 사용하여 텍스트 정보 중심의 피부상태 진단과 관리를 위한 핵심 정보를 분석하고 추출할 수 있다. 본 논문에서 개발된 피부관리정보시스템 SCIS는 빅데이터 수집단계, 텍스트전처리단계, 이미지전처리단계, 텍스트단어분석단계로 구성되어 있다. SCIS는 피부진단 및 관리에 필요한 빅데이터를 수집하고, 텍스트 정보를 대상으로 핵심단어의 단순빈도분석, 상대빈도분석, 동시출현분석, 상관성분석을 통해 핵심단어 및 주제를 추출하였다. 또한 추출된 핵심단어 및 정보를 분석하고 산포도, NetworkX, t-SNE 및 클러스터링 등의 다양한 시각화 처리를 함으로써 피부상태 진단 및 관리에 있어 이를 효율적으로 사용할 수 있도록 하였다.

• KIEAE Journal
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• 제15권4호
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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.