• 산경연구논집
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• 제10권8호
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• pp.25-32
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• 2019

Purpose - This study aims to explore women's beauty industry market and growth development by identifying the main factors of women's perception of skin health care. Research design, data, and methodology - The survey was conducted on women aged 20 to 60 living in Seoul. For the statistical analysis, frequency analysis, t-test and one-way ANOVA were conducted, and significant differences in p<0.05 were tested through the multiple range test of the Scheffe. The factor analysis was conducted to verify the validity of questions, and the reliability was determined by the coefficient of Cronbach's α. Results - The lower the age, the higher the perception of the skin, and women pay a higher price for skin health as a provisional customer. 'Acne care' was the most common skin condition (32.8%), 'life style' (79.8%) was the most important part of skin care. Final education was the highest level of skin care for women with a professional background (M=3.41) (F=4.028, p<.05). Conclusions - The differences in the recognition of health knowledge by age, marital status, and household monthly income were significant, but there was no difference between jobs and final education. Customers who use less skin care than customers who frequently use the skin care center were more aware of skin health, and women who have a high awareness of skin are more interested in aging and regenerating due to the skin care.

• 한국멀티미디어학회논문지
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• 제8권6호
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• pp.768-775
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• 2005

For sign languages are main communication means among hearing-impaired people, there are communication difficulties between speaking-oriented people and sign-language-oriented people. Automated sign-language recognition may resolve these communication problems. In sign languages, finger spelling is used to spell names and words that are not listed in the dictionary. There have been research activities for gesture and posture recognition using glove-based devices. However, these devices are often expensive, cumbersome, and inadequate for recognizing elaborate finger spelling. Use of colored patches or gloves also cause uneasiness. In this paper, a vision-based finger spelling recognition system is introduced. In our method, captured hand region images were separated from the background using a skin detection algorithm assuming that there are no skin-colored objects in the background. Then, hand postures were recognized using a two-dimensional grid analysis method. Our recognition system is not sensitive to the size or the rotation of the input posture images. By optimizing the weights of the posture features using a genetic algorithm, our system achieved high accuracy that matches other systems using devices or colored gloves. We applied our posture recognition system for detecting Korean Sign Language, achieving better than $93\%$ accuracy.

• 한국정보통신학회논문지
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• 제9권7호
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• pp.1513-1517
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• 2005

본 논문에서는 얼굴영역을 검출하기위해 얼굴 피부색을 보다 효과적으로 모델링하기 위한 피부색 특성을 고려하여 밝기 성분을 제거한 Red, Blue, Green 채널을 모두 사용하는 Hue, Cb, Cg의 M배i-Channel 피부색 모델을 사용한다. 얼굴영역을 분리한 영상에 Harr 웨이블릿을 이용한 에지영상 추출과 얼굴영역의 특징벡터를 구하기 위하여 26개의 특징벡터를 사용한 효율적인 고차 국소 자동 상관함수를 사용하였다. 계산된 특징벡터는 BP 신경망의 학습을 통하여 얼굴인식을 위한 데이터로 사용된다. 시뮬레이션을 통해 제안된 알고리즘에 의한 인식률향상과 속도 향상을 입증한다.

• 융합신호처리학회논문지
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• 제1권1호
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• pp.42-48
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• 2000

본 논문에서는 칼라 CCD 카메라로부터 입력된 얼굴 영상에서 피부색 정보와 눈, 코, 입 등의 얼굴 영역 특징 자 및 턱 선의 선형 적 특징을 이용한 얼굴 영상 인식 알고리즘을 제안하져다. 제안한 알고리즘에서는 인간의 시각 체계와 비교적 유사한 HSI 좌표계 상에서 피부색에 대한 색상 정보와 명암값 정보를 함께 이용함으로써 얼굴영역 추출의 효율을 높였고, 인종에 따라 적응적인 추출이 가능하도록 하였다. 또한 추출된 얼굴 영역에서 얼굴 인식율 개선을 위해 눈, 코, 입 등의 구조적 위치정보와 턱선의 선형적인 특징값을 이용하여 얼굴 인식율을 개선하였다. 제안한 알고리즘에서는 기존의 명암 정보를 이용하는 방법과는 달리 색상 정보와 명암 정보를 함께 이용함으로써 정확한 얼굴영역의 검출이 가긍하였으며 인식 방법에 있어서 구조적 특징자 외에 턱선의 선형적인 관계값을 이용함으로써 인식 효율을 개선하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1999년도 하계종합학술대회 논문집
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• pp.575-578
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• 1999

The principal features of a face are as follows : skin-tone, symmetry, and requisites such as shape of ellipse, eyes, nose, mouth. Also, faces have different size, various shape and position. In case of application of face recognition and detection without preprocessing, efficiency of the performance is decreased. In addition, face itself, complex background, image quality, etc. are included. Therefore, previous face recognition methods are implemented on the base of specific constraints of the face image. In this paper, we propose the efficient and automatic face detection algorithm for minimizing influence such as complex background, image quality, etc. This face detection technique consists of skin-tone, candidate face region and face region extractions.

• 전자공학회논문지CI
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• 제47권5호
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• pp.1-9
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• 2010

일반적으로 동적 손동작 인식을 위해서는 전처리, 손 추적, 손 모양 검출의 단계가 필요하다. 본 논문에서는 전처리와 손 모양 검출 방법을 개선함으로써 성능을 향상시킨 동적 손동작 인식 방법을 제안한다. 전처리 단계에서는 동적테이블을 이용하여 노이즈제거 성능을 높이고, YCbCr 컬러공간을 이용한 기존의 피부색 검출 방식에서 피부색의 범위를 조절할 수 있도록 하여 피부색 검출 성능을 높인다. 특히 손 모양 검출 단계에서는 가이드라인을 이용하여 동적 손동작 인식의 요소인 시작이미지(Start Image)와 정지 이미지(Stop Image)를 검출하여 동적 손동작을 인식하기 때문에 학습예제를 사용한 손동작 인식 방법에 비해 인식 속도가 빠르다는 이점이 있다. 가이드라인이란 웹캠을 통해 입력되는 손의 모양과 비교하여 검출하기 위해 화면에 출력하는 손 모양의 라인이다. 가이드라인을 이용한 동적 손동작 인식 방법의 성능을 평가하기 위해 웹캠을 사용하여 복잡한 배경과 단순한 배경으로 구분된 9가지 동영상을 대상으로 실험하였다. 그 결과 CPU 점유율이 낮고, 메모리 사용량도 적기 때문에 시스템 부하가 높은 환경에 효과적임을 알 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권2호
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• pp.347-365
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• 2013

The performance of finger-vein recognition methods is limited by camera optical defocusing, the light-scattering effect of skin, and individual variations in the skin depth, density, and thickness of vascular patterns. Consequently, all of these factors may affect the image quality, but few studies have conducted quality assessments of finger-vein images. Therefore, we developed a new finger-vein recognition method based on image quality assessment. This research is novel compared with previous methods in four respects. First, the vertical cross-sectional profiles are extracted to detect the approximate positions of vein regions in a given finger-vein image. Second, the accurate positions of the vein regions are detected by checking the depth of the vein's profile using various depth thresholds. Third, the quality of the finger-vein image is measured by using the number of detected vein points in relation to the depth thresholds, which allows individual variations of vein density to be considered for quality assessment. Fourth, by assessing the quality of input finger-vein images, inferior-quality images are not used for recognition, thereby enhancing the accuracy of finger-vein recognition. Experiments confirmed that the performance of finger-vein recognition systems that incorporated the proposed quality assessment method was superior to that of previous methods.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2002년도 ICCAS
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• pp.111.1-111
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• 2002

System configuration 1. First is the image acquisition part 2. Second part is for creating the vector image and for processing the obtained facial image. This part is for finding the facial area from the skin color. To do this, we can first find the skin color area with the highest weight from eigenface that consists of eigenvector. And then, we can create the vector image of eigenface from the obtained facial area. 3. Third is recognition module portion.

• 한국콘텐츠학회논문지
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• 제14권12호
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• pp.808-817
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• 2014

목적: 본 연구는 노인요양병원 요양보호사의 피부감염 인식과 감염관리 수행 정도를 파악하기 위한 서술적 조사연구이다. 방법: 본 연구는 G시와 J도에 소재한 7개 노인요양병원에서 근무하고 있는 요양보호사 209명을 대상으로 실시하였다. 수집된 자료는 SPSS 18.0 program을 이용하여 ${\chi}^2$-test, t-test와 ANOVA로 통계 분석하였다. 결과: 노인요양병원 근무 시 새로 생긴 피부감염은 76.6%가 '예'라고 응답하였으며, 피부감염의 진단은 접촉 피부염 42.5%, 옴 26.9% 그리고 습진 25.0% 였다. 피부감염 인식은 평균 3.81점이었고 감염관리 수행 정도는 412점 이었다. 대상자의 일반적 특성에 따른 감염관리 수행에서는 병상수(F=4.63, p=.011)와 하루 동안 돌보는 환자 수(F=2.67, p=.049)에서 통계적으로 유의한 차이가 나타났다. 결론: 본 연구결과는 요양보호사를 위한 보수교육 및 의료감염관리 표준지침 개발을 위한 기초자료로 활용할 수 있을 것이다.

• 동아시아식생활학회지
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• 제16권1호
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• pp.1-12
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• 2006

This study examine the relationship between the intake of food conformable to each Sasang constitution and the recognition of irregular symptoms of health condition. The study subjects were 362 university students nationwide, classified by heir Sasang constitution. In terms of the intakes of conformable food and the symptom recognition, the number of multiple subjective symptoms tended to rise as the Soeum type digested the conformable food. As for the kinds of food, the Soyang type showed a significant positive correlation between the intake of cucumber namul and the symptoms of eyes and skin, but a negative correlation between the intake of Chongak Kimchi and the symptoms of the digestive system The Soeum type showed a significant positive correlation between multiple subjective symptoms and the intake of Gatkimchi, fernbrake namul, naeng-i soup, naeng-i namul, Korean leek Kimchi, crown daisy namul, and curled mallow soup, a significant positive correlation between the symptom recognition of the respiratory system and the intake of fried flatfish, and chicken gomtang but a negative correlation between the symptom recognition of the eye and skin and the intake of boiled eel. The Taeum type presented the a sigmificant positive correlation between multiple subjective symptoms and the intake of spaghetti, a positive correlation between the symptoms of the respiratory system and the intake of tuna salad, a positive correlation between the symptoms of the eye and skin and the intake of mafa tofu, spaghetti, and tuna salad, a negative correlation between the symptoms of the mouth and anus and the intake of codfish jiri, and a negative correlation between the symptoms of the respiratory system and the intake of tuna salad.