• Annals of Clinical Neurophysiology
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• v.13 no.1
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• pp.44-47
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• 2011

Background: Miller-Fisher syndrome (MFS) is characterized by the clinical triad of ophthalmoplegia, ataxia, and areflexia, and is considered a variant form of Guillain-Barre syndrome. Although some cases of delayed-onset facial palsy in MFS have been reported, the characteristics of this facial palsy are poorly described in the literature. Methods: Between 2007 and 2010, six patients with MFS were seen at our hospital. Delayed facial palsy, defined as a facial palsy that developed while the other symptoms of MFS began to improve following intravenous immunoglobulin treatment, was confirmed in four patients. The clinical and electrophysiological characteristics of delayed facial palsy in MFS, as observed in these patients, are described here. Results: Four patients with delayed-onset facial palsy were included. Delayed facial palsy developed 8-16 days after initial symptom onset (5-9 days after treatment). Unilateral facial palsy occurred in three patients and asymmetric facial diplegia in one patient. The House-Brackmann score of facial palsy was grade III in one patient, IV in two patients, and V in one patient. None of the patients complained of posterior auricular pain. Facial nerve conduction studies revealed normal amplitude in all four patients. The blink reflex showed abnormal prolongation in two patients and the absence of action potential formation in two patients. Facial palsy resolved completely in all four patients within 3 months. Conclusions: Delayed facial palsy is a frequent symptom in MFS and resolves completely without additional treatment. Thus, standard treatment and patient reassurance are sufficient in most cases.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.1
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• pp.50-57
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• 2005

We present a simple and effective method of face and facial feature detection under pose variation of user face in complex background for the human-robot interaction. Our approach is a flexible method that can be performed in both color and gray facial image and is also feasible for detecting facial features in quasi real-time. Based on the characteristics of the intensity of neighborhood area of facial features, new directional template for facial feature is defined. From applying this template to input facial image, novel edge-like blob map (EBM) with multiple intensity strengths is constructed. Regardless of color information of input image, using this map and conditions for facial characteristics, we show that the locations of face and its features - i.e., two eyes and a mouth-can be successfully estimated. Without the information of facial area boundary, final candidate face region is determined by both obtained locations of facial features and weighted correlation values with standard facial templates. Experimental results from many color images and well-known gray level face database images authorize the usefulness of proposed algorithm.

• Journal of the Korean Society of Costume
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• v.64 no.3
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• pp.62-76
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• 2014

The purpose of this study is to classify the facial images and analyze shape characteristics of Korean women in their 20s. Previous research and survey were used for the study, the surveys targeted 220 university students in their 20s. The subjects of the experiment were 20-24 year-old Korean women. SPSS 12.0 statistics program was used to analyze the results, and factor analysis, Cronbach's ${\alpha}$ reliability analysis, and multidimensional scaling(MDS) were executed. The results of the study are as follows: First, the facial image types of Korean women in their 20s were classified into 4 categories as 'Youthfulness', 'Classiness', 'Friendliness', and 'Activeness'. Second, the multi-dimensional scaling method was performed and two orthogonal dimensions for the facial image of the Korean women were suggested: strong - soft and classy-friendly. Third, by analyzing the basic statistics concerning the structural characteristics of facial image of Korean women, there were differences in structural characteristics that form the facial images. Especially, significant difference appeared in items related forehead, eyebrows, eyes and jaw.

• Journal of Sasang Constitutional Medicine
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• v.20 no.3
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• pp.58-69
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• 2008

1. Objective This research looks into the facial characteristics of Sasang constitution. 2. Methods It assigns and measures the length of nine areas of the face using a picture, and calculates the proportions and gives statistical data of these items. It also references the proportion of the items using the contents of "Sanghakjinjeon" ("相學眞傳") Ten face-types as a basis, divides the face into seven types, looks into the similarities between constitutions, and also compares it to clinically and frequently used constitutional facial characteristics. 3. Results and Conclusion After comparing the analytical items between Taeumins, Soyangins, and Soeumins, Soeumins had an oval face due to the fact that the length and width that their lower faces took up was small compared to the entire face. After dividing the facial characteristics of the test subjects using 十字相, there were significantly more Taeumins in Dong(同)_face-type, and Soeumins in Won(圓)_face-type. There weren't any significant group that Soyangins showed up in. After comparing these facial characteristics with that of previous facial characteristics found in books and used clinically, we were able to find corresponding items.

• Journal of Information Technology Applications and Management
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• v.10 no.4
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• pp.135-147
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• 2003

With the development of multimedia and optical technologies, application systems with facial features hare been increased the interests of researchers, recently. The previous research efforts in face processing mainly use the frontal images in order to recognize human face visually and to extract the facial expression. However, applications, such as image database systems which support queries based on the facial direction and image arrangement systems which place facial images automatically on digital albums, deal with the directional characteristics of a face. In this paper, we propose a method to detect facial directions by using facial features. In the proposed method, the facial trapezoid is defined by detecting points for eyes and a lower lip. Then, the facial direction formula, which calculates the right and left facial direction, is defined by the statistical data about the ratio of the right and left area in facial trapezoids. The proposed method can give an accurate estimate of horizontal rotation of a face within an error tolerance of $\pm1.31$ degree and takes an average execution time of 3.16 sec.

• The Journal of Korean Medicine
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• v.44 no.3
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• pp.1-9
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• 2023

Objectives: The purpose of this study was to suggest the clinical characteristics and risk factors of facial palsy from the perspective of Korean Medicine. Methods: Medical records of 856 patients, who visited the Korean Medicine hospital with facial palsy from 2004 to 2019, were retrospectively analyzed. The clinical characteristics of facial palsy were suggested by figuring out the distribution of age, sex, occupation, onset season, obesity, modes, signs, symptoms, past and family history. Results: By gender, there were more males (54.6%), and the most common age groups were in their 50s (27.4%) and 40s (23.6%). As for the occupation, unemployed (27.7%) and service and sales workers (14.6%) were the most common, and the onset season was the most common in winter (28.9%). The most common clinical characteristics were overwork (33.0%), mental stress (24.8%), and exposure to cold (19.3%) in modes, 'none' (64.3%), postauricular pain (33.2%) in signs, postauricular pain (26.9%), parageusia (14.8%) in symptoms. Hypertension and diabetes were the most common in both past and family history. In particular, the obesity rate of the subjects (59.8%) was much higher than that of Koreans (32.8%). Conclusions: Based on the historical Korean Medicine literature and the results of this study, it is suggested that overwork, stress, exposure to cold, and obesity are identified as risk factors for facial palsy. Furthermore, dysfunction of the stomach meridian is thought to contribute to the cause of facial palsy.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.22 no.1
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• pp.148-156
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• 2009

Objectives : Facial palsy is not uncommon disease and most patients with facial palsy are peripheral type, as in Bell' s palsy. In western medicine, oral steroid is the mainstay of the treatment. Recently, oriental-western treatment became one of the alternative modality for the treatment of the facial palsy. However, the treatment result and the degree of patient' s satisfaction were not evaluated. In this study, we tried to characterize the clinical characteristics, short-term recovery rate and degree of patient' s satisfaction after oriental-western medicine treatment on facial palsy of peripheral type. Methods : Between May 2008 and December 2008, we examined 16 patients who presented with facial palsy of peripheral type in Dongguk University Medical Center. Clinical characteristics and recovery rate was analyzed by retrospective chart review. The degree of patient' s satisfaction was measured by 5 point scale. Results : The causes of facial palsy were Bell' s palsy (87.5%) and the Ramsay-Hunt syndrome (12.5%). The highest age groups of facial palsy were 6th and 7th decades. Most frequent accompanying symptom was postauricular pain. After oriental-western medicine treatment, 10 patients (62.5%) showed recovery of facial palsy better than House-Brackmann grade 2. 11 patients (68.8%) were satisfied with the oriental-western medicine treatment. Conclusions : Considering the degree of patient' s satisfaction and treatment result, we believe that oriental-western treatment could be safe and reliable protocol for the treatment of facial nerve palsy of peripheral type.

• Archives of Plastic Surgery
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• v.43 no.2
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• pp.160-171
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• 2016

Background The objective of this study was to assess the attractive facial features of the Indian population. We tried to evaluate subjective ratings of facial attractiveness and identify which facial aesthetic subunits were important for facial attractiveness. Methods A cross-sectional study was conducted of 150 samples (referred to as candidates). Frontal photographs were analyzed. An orthodontist, a prosthodontist, an oral surgeon, a dentist, an artist, a photographer and two laymen (estimators) subjectively evaluated candidates' faces using visual analog scale (VAS) scores. As an objective method for facial analysis, we used balanced angular proportional analysis (BAPA). Using SAS 10.1 (SAS Institute Inc.), the Turkey's studentized range test and Pearson correlation analysis were performed to detect between-group differences in VAS scores (Experiment 1), to identify correlations between VAS scores and BAPA scores (Experiment 2), and to analyze the characteristic features of facial attractiveness and gender differences (Experiment 3); the significance level was set at P=0.05. Results Experiment 1 revealed some differences in VAS scores according to professional characteristics. In Experiment 2, BAPA scores were found to behave similarly to subjective ratings of facial beauty, but showed a relatively weak correlation coefficient with the VAS scores. Experiment 3 found that the decisive factors for facial attractiveness were different for men and women. Composite images of attractive Indian male and female faces were constructed. Conclusions Our photogrammetric study, statistical analysis, and average composite faces of an Indian population provide valuable information about subjective perceptions of facial beauty and attractive facial structures in the Indian population.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.11
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• pp.433-440
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• 2019

Recently, machine learning and data mining have been used for many disease prediction and diagnosis. Chronic diseases account for about 80% of the total mortality rate and are increasing gradually. In previous studies, the predictive model for chronic diseases use data such as blood glucose, blood pressure, and insulin levels. In this paper, world's first research, verifies the relationship between dyslipidemia and facial characteristics, and develops the predictive model using machine learning based facial characteristics. Clinical data were obtained from 5390 adult Korean men, and using hypertriglyceridemia and facial characteristics data. Hypertriglyceridemia is a measure of dyslipidemia. The result of this study, find the facial characteristics that highly correlated with hypertriglyceridemia. FD_43_143_aD (p<0.0001, Area Under the receiver operating characteristics Curve(AUC)=0.652) is the best indicator of this study. FD_43_143_aD means distance between mandibular. The model based on this result obtained AUC value of 0.662. These results will provide a basis for predicting various diseases with only facial characteristics in the screening stage of disease epidemiology and public health in the future.

• Journal of Acupuncture Research
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• v.41 no.1
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• pp.17-28
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• 2024

This study aimed to analyze whether the coronavirus disease 2019 (COVID-19) pandemic affected the characteristics of first-visit patients with peripheral facial palsy (PFP) and observe changes in their characteristics. This study analyzed the electronic medical records of 2,310 first-visit patients with PFP who visited the Facial Palsy Center, Kyung Hee University Korean Medicine Hospital from January 1, 2019, to December 31, 2021, in terms of demographic characteristics, disease phase, residence locations, hospital visit route, and patient care. During COVID-19, the proportion of acute patients increased by 5.3%, the proportion of visits by residents in Seoul increased by 3.8%, and the proportion of patients receiving only outpatient treatments increased by 12.8%. Significant relationships were present between the presence of the COVID-19 pandemic and the number of patients by disease phase (p = 0.043), residence locations (p = 0.003), and patient care (p = 0.003). Thus, several differences in the characteristics of first-visit patients with PFP visiting a Korean medicine hospital during the COVID-19 pandemic in terms of demographic characteristics, disease phase, residence locations, and patient care.