• 대한한방내과학회지
• /
• 제30권1호
• /
• pp.129-143
• /
• 2009

Objective : This study was aimed to investigate the general features and differences between obesity and skinniness of patients with Bell's palsy. Methods : We measured the sex, age. BMI. pulse diagnosis and HBGS (House-Brackmann Grading System) of 234 patients who were diagnosed with Bell's palsy. Results and Conclusions : The results with statistical significance were as follows (1) The distribution of age revealed that 40s was the most at 30.8 %: (2) The improvement period in facial palsy patients with sub-paralysis was shorter than whole-paralysis. And in one part the more we treated, the shorter the improvement period was: (3) In distribution of fat rate in facial palsy patients, obesity was the most at 61.37%, low weight 15.88%. So we found that the fatter the patients was. the higher the onset rate was: (4) In distribution of pulse diagnosis in facial palsy patients with obesity. the ratio of Xu mai (虛脈) was 67.06%. Shi mai (實脈) 32.94%. The Xu mai was similar to Qi xu (氣虛). So we found that the facial palsy patients with obesity were more Qi xu than with low weight. In distribution of pulse diagnosis in facial palsy patients with skinniness, the ratio of Chi mai (遲脈) was none. Shuo mai (數脈) was most: (5) In distribution of region in facial palsy patients with obesity-Xu mai. the ratio of left was 45.10%, right 54.90%, but this result was not statistically significant.

• 한국멀티미디어학회논문지
• /
• 제9권8호
• /
• pp.982-999
• /
• 2006

본 논문에서는 복합 칼라정보와 얼굴의 기하학적 정보를 이용한 인터넷 기반 얼굴관상해석 및 자동 얼굴 컨텐츠 생성시스템을 제안하였다. 제안한 시스템은 YCbCr과 YIQ 칼라모델의 Cr과 I 성분의 논리곱 연산처리로 얼굴영역을 검출하였다. 검출한 얼굴영역에서 얼굴의 기하학적 정보로부터 얼굴 특징자를 추출 하였으며 각 특징자들을 세부 분류하여 얼굴 관상을 해석하도록 하였다. 또한 제안한 시스템은 추출과 분류된 특징자로부터 개인의 얼굴에 가장 적합한 얼굴 아바타 컨텐츠를 자동 생성할 수 있게 하였다. 실험결과 제안한 방법은 기존의 얼굴인식 방법에 비해 실시간 얼굴검출과 인식은 물론 정량적인 얼굴관상해석과 자동 얼굴 아바타 생성이 가능하였다.

• Journal of Genetic Medicine
• /
• 제10권1호
• /
• pp.57-61
• /
• 2013

Acromegaloid Facial Appearance syndrome is a very rare syndrome combining acromegaloid-like facial appearance, thickened lips and oral mucosa and acral enlargement. Progressive facial dysmorphism is characterized by a coarse facies, a long bulbous nose, high-arched eyebrows, and thickening of the lips, oral mucosa leading to exaggerated rugae and frenula, furrowed tongue and narrow palpebral fissures. We report a case of acromegaloid facial appearance syndrome in a 19-year-old male patient who presented with all the characteristic features of the syndrome along with previously unreported anomalies like dystrophic nails, postaxial polydactyly and incisal notching of teeth.

• 한국정보통신학회:학술대회논문집
• /
• 한국해양정보통신학회 1999년도 추계종합학술대회
• /
• pp.416-419
• /
• 1999

얼굴특징들의 추적을 위한 근육을 기반으로 한 특징모델을 사용한다. 그 특징모델은 적은 파라메터와 범위와 방향으로 한정된 변형으로 구성되고, 각 특징점에 관한 검색 공간은 한정되어질 수 있다. 본 논문에서는 6개로 분류한 주요 얼굴표정에 대해 근육의 수축강도로 추정한다. 그 수축 벡터는 얼굴근육모델의 변화량으로부터 얻어지며, 유사도는 _그것들의 벡터와 대표하는 주요한 표정들의 벡터사이로 규정짓고, 얼굴표정들의 측정을 위해 사용된다.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
• /
• 제23권1호
• /
• pp.31-35
• /
• 2012

Noonan syndrome is characterized by short stature, typical facial dysmorphology, and congenital heart defects. The main facial features of Noonan syndrome are hypertelorism with down-slanting palpebral fissures, ptosis, and low-set posteriorly-rotated ears with a thickened helix. The cardiovascular defects most commonly associated with this condition are pulmonary stenosis and hypertrophic cardiomyopathy. Other associated features are webbed neck, chest deformity, mild intellectual deficit, cryptorchidism, poor feeding in infancy, bleeding tendency, and lymphatic dysplasias. The patient is a 10-year-old boy. He had experienced repeated febrile convulsions. He had typical facial features, a short stature, chest deformity, cryptorchidism, vesicoureteral reflux, and mental retardation. His language and motor development were delayed. When he went to school, it was difficult for him to pay attention, follow directions, and organize tasks. He also displayed behavior such as squirming, leaving his seat in class, and running around inappropriately. Clinical observation is important for the diagnosis, so we report a patient who was diagnosed with Noonan syndrome, mental retardation, and attention-deficit hyperactivity disorder.

• International Journal of Computer Science & Network Security
• /
• 제22권6호
• /
• pp.319-331
• /
• 2022

The latest global COVID-19 pandemic has made the use of facial masks an important aspect of our lives. People are advised to cover their faces in public spaces to discourage illness from spreading. Using these face masks posed a significant concern about the exactness of the face identification method used to search and unlock telephones at the school/office. Many companies have already built the requisite data in-house to incorporate such a scheme, using face recognition as an authentication. Unfortunately, veiled faces hinder the detection and acknowledgment of these facial identity schemes and seek to invalidate the internal data collection. Biometric systems that use the face as authentication cause problems with detection or recognition (face or persons). In this research, a novel model has been developed to detect and recognize faces and persons for authentication using scale invariant features (SIFT) for the whole segmented face with an efficient local binary texture features (DLBP) in region of eyes in the masked face. The Fuzzy C means is utilized to segment the image. These mixed features are trained significantly in a convolution neural network (CNN) model. The main advantage of this model is that can detect and recognizing faces by assigning weights to the selected features aimed to grant or provoke permissions with high accuracy.

• Annals of Clinical Neurophysiology
• /
• 제10권1호
• /
• pp.38-42
• /
• 2008

Background: Idiopathic facial nerve palsy, or Bell's palsy (BP), is a common and important disease. Recurrent Bell's palsy has been known as a rare entity with only a few cases in the literature. Methods: A total of 111 consecutive patients with acute BP patients were enrolled at Daegu Catholic University Hospital from July 2005 to March 2007. We classified the patients into two groups - single BP and recurrent BP - and compared them by demographic data, clinical features, MRI findings and prognosis. The degree of BP was graded according to the House and Brackmann facial nerve grading system. Results: Recurrent BP was observed in 10 (9%) patients. The number of recurrence was varied from 2 to 5. The mean age of first attack in recurrent BP was $35.70{\pm}23.65$ years old and was earlier than that of the single BP ($50.94{\pm}16.21$ year). The larger proportion of the single BP had an abnormal enhancement of affected facial nerve (91.3%) than the recurrent BP (50%). The recurrent BP showed worse prognosis than the single BP. The associated conditions, etiology, and clinical features were similar between two groups. Conclusions: In comparison with single BP, recurrent BP showed earlier onset of first BP attack, less frequent abnormal enhancement of facial nerve on MRI, and worse prognosis.

• 제어로봇시스템학회논문지
• /
• 제19권6호
• /
• pp.513-519
• /
• 2013

The current vision-based approaches for emotion recognition, such as facial expression analysis, have many technical limitations in real circumstances, and are not suitable for applications that use them solely in practical environments. In this paper, we propose an approach for emotion recognition by combining extrinsic representations and intrinsic activities among the natural responses of humans which are given specific imuli for inducing emotional states. The intrinsic activities can be used to compensate the uncertainty of extrinsic representations of emotional states. This combination is done by using PRMs (Probabilistic Relational Models) which are extent version of bayesian networks and are learned by greedy-search algorithms and expectation-maximization algorithms. Previous research of facial expression-related extrinsic emotion features and physiological signal-based intrinsic emotion features are combined into the attributes of the PRMs in the emotion recognition domain. The maximum likelihood estimation with the given dependency structure and estimated parameter set is used to classify the label of the target emotional states.

• Archives of Plastic Surgery
• /
• 제42권5호
• /
• pp.567-571
• /
• 2015

Background Bariatric surgeries performed in the USA has increased twelve-fold in the past two decades. The effects of rapid weight loss on facial features has not been previously studied. We hypothesized that bariatric surgery will mimic the effects of aging thus giving the patient an older and less attractive appearance. Methods Consecutive patients were enrolled from the bariatric surgical clinic at our institution. Pre and post weight loss photographs were taken and used to generate two surveys. The surveys were distributed through social media to assess the difference between the preoperative and postoperative facial photos, in terms of patients' perceived age and overall attractiveness. 102 respondents completed the first survey and 95 respondents completed the second survey. Results Of the 14 patients, five showed statistically significant change in perceived age (three more likely to be perceived older and two less likely to be perceived older). The patients were assessed to be more attractive postoperatively, which showed statistical significance. Conclusions Weight loss does affect facial aesthetics. Mild weight loss is perceived by survey respondents to give the appearance of a younger but less attractive patient, while substantial weight loss is perceived to give the appearance of an older but more attractive patient.

• 한국정보통신학회논문지
• /
• 제8권6호
• /
• pp.1182-1187
• /
• 2004

본 논문에서는 실시간으로 눈과 눈썹주위의 특징을 추적하는 새로운 알고리즘을 제안하고자 한다. 제안된 알고리즘은 적외선 LED와 적외선카메라로 밝은 동공 효과를 만들어 동공을 추적 한 후, 템플릿은 얼굴 특징을 매개변수화 하기 위해, 동공 좌표는 각각의 프레임에서 눈과 눈썹 영상을 추출하기 위하여 사용한다. 또한, 템플릿 변수는 표본 영상을 가지고 학습하는 과정에서 구성한 PCA기저를 이용하여 추출된 영상을 PCA 분석하여 구한다. 제안된 시스템은 초당 30 프레임의 영상에서 초기 설정 및 교정 작업 없이 머리 움직임이 많거나 폐색이 있는 경우에도 견실하게 동작하였다.