• Title/Summary/Keyword: Facial analysis

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A Study on Personality Expression and the Awareness of Body Type - Focusing on Korea's Jeonnam Province and Yanbian, China College Students -

  • Jeong, Mi-Ae;Choi, Mee-Sung
    • Journal of Fashion Business
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    • v.13 no.3
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    • pp.12-24
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    • 2009
  • This paper aims to investigate if a total of 266 college students from Yanbian, China, and Korea's Jeonnam Province are satisfied with their face and body type, and to find out an image-development method, depending on body characteristics. For this, a questionnaire survey using the 5-point Likert Scale was conducted, and an SPSS program has been used for data analysis. Besides the descriptive analysis, crosstab analysis, t-verification, and frequency analysis have been conducted. As body shape, posture, costume, accessories and makeup play an important role in image formation, this paper intends to form positive ego through exact awareness of the body shape by providing base data to a set image-development strategy. Then, the result has turned out as follows: First, in terms of the body index (i.e., Rohrer index), both Korea's Jeonnam Province and China's Yanbian college students were included in a category of the mean value. In terms of satisfaction with their body shape, on the contrary, China's China's Yanbian college students were higher than Korea's Jeonnam Province college students. Second, male China's Yanbian college students were slightly higher than female China's Yanbian college students in terms of satisfaction with their facial shape. However, the male students showed no big interest in facial care. Third, in terms of facial shape, an egg-shaped face was the most preferred in both China's Yanbian and Korea's Jeonnam Province college students, followed by an inverted triangle-shaped face in China's Yanbian college students and a diamond-shaped face in Korea's Jeonnam Province college students, showing significant difference ($p{\le}.001$). Even though both college students live in Northeast Asia, their preference on facial shape turned out to greatly differ, which indicates their different social environments. This paper will be helpful in global marketing for college students who are the major consumers in the future as Korean-Chinese exchange increases.

Development of Emotion Recongition System Using Facial Image (얼굴 영상을 이용한 감정 인식 시스템 개발)

  • Kim, M.H.;Joo, Y.H.;Park, J.B.;Lee, J.;Cho, Y.J.
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.2
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    • pp.191-196
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    • 2005
  • Although the technology for emotion recognition is important one which was demanded in various fields, it still remains as the unsolved problems. Especially, there is growing demand for emotion recognition technology based on racial image. The facial image based emotion recognition system is complex system comprised of various technologies. Therefore, various techniques such that facial image analysis, feature vector extraction, pattern recognition technique, and etc, are needed in order to develop this system. In this paper, we propose new emotion recognition system based un previously studied facial image analysis technique. The proposed system recognizes the emotion by using the fuzzy classifier. The facial image database is built up and the performance of the proposed system is verified by using built database.

GEOMETRICAL ANALYSIS ON THE DENTOFACIAL COMPOSITION OF KOREAN BEAUTIFUL WOMAN (한국 미인의 치아안면구도에 대한 기하학적 분석)

  • Shin Young-Ho;Oh Sang-Chun
    • The Journal of Korean Academy of Prosthodontics
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    • v.42 no.5
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    • pp.524-534
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    • 2004
  • Statement of problem: The meaning of the beauty has a little different nature according to a time, culture, and nation. Purpose : This study was undertaken to estimate the geometric esthetic criteria for Korean woman by analysis of facial photograph in a smiling. Material and methods: The facial photographs of 678 Korean beautiful woman were collected from Miss Korea candidates(from 1971 to 2003 year). The dento-facial composition was measured and analyzed geometrically on computer monitor using $Adobe^{(R)}$ $Photoshop^{(R)}$ 7.0. The statistical significance of the differences among the 4 decade groups was estimated by a $x^2$ test. Result : The Korean beautiful woman skewed the geometric characteristics such as the 'coincidence' (83.0%) between facial midline and dental midline, the 'normal' (96.9%) alignment and arrangement of upper anterior teeth. the 'average' (79.1%) position and 'upward' (53.4%) curvature of upper lip, the 'parallel' (85.7%) relationship between the lower lip and upper anterior incisal curvature, the 'touching' (49.9%) and 'not-touching' (44.8%) relationship between upper anterior incisor and towel lip, the 'first premolar' (54.1%) and 'second premolar' (38.9%) displayed in a smile, and the 'symmetry' (89.4%) of smile. There was statistical significance among the 4 decades in the respect of the upper lip curvature, the relationship between upper anterior incisor and lower lip, and the most posterior teeth displayed in a smile (p<0.05). Conclusion : The Korean beautiful woman showed similar results to the western esthetic criteria in the some respects and the tendency that the Korean woman had more active smiling recently.

Medical costs for patients with Facial paralysis : Based on Health Big Data (보건의료 빅데이터를 이용한 얼굴마비환자의 의료비용에 관한 연구)

  • Hong, Min-Jung;Umh, Tae-Woong;Kim, Sina;Kim, Nam-Kwen
    • The Journal of Korean Medicine
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    • v.36 no.3
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    • pp.98-110
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    • 2015
  • Objectives: The purpose of this study was to analyze the medical cost of facial paralysis in payer perspective and to estimate the practice pattern of patient using 2011 Health Insurance Review & Assessment Service-National Patients Sample(HIRA-NPS). Methods: Basic statistical system was used for descriptive analysis of NPS dataset. A table for general information (table20) was extracted by disease code, and social demographic characteristics, distribution of the use among inpatients and outpatients, utilization of each kind of medical care institutions, medical cost were analyzed. Subgroup analysis was conducted for assuming the practice pattern of korean medicine and western medicine. Results: A total of 8,219 people and 64,345 claims data were identified as having facial paralysis. Proportion of outpatient was 95.23%, inpatient 0.84% and patient using both services 3.93%. Mean patient charges was 44,229 won per outpatient, 178,886 won per inpatient and 523,542 won per patient using both services. Utilization of korean medical care institutions was 68.81%(claims), 40.46%(patients), utilization of western medical care institutions was 31.19%(claims), 59.54%(patients). The amount charged by korean medical care institutions was 52.61% and western medical care institutions was 47.39%. Cost per claim was higher than those of the korean treatment and cost per patient of western treatment was lower than those of the korean treatment. Conclusions: The research assessed the medical cost and practice pattern associated with facial paralysis. These findings could be used in health care policy and subsequent studies.

Development of a Recognition System of Smile Facial Expression for Smile Treatment Training (웃음 치료 훈련을 위한 웃음 표정 인식 시스템 개발)

  • Li, Yu-Jie;Kang, Sun-Kyung;Kim, Young-Un;Jung, Sung-Tae
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.4
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    • pp.47-55
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    • 2010
  • In this paper, we proposed a recognition system of smile facial expression for smile treatment training. The proposed system detects face candidate regions by using Haar-like features from camera images. After that, it verifies if the detected face candidate region is a face or non-face by using SVM(Support Vector Machine) classification. For the detected face image, it applies illumination normalization based on histogram matching in order to minimize the effect of illumination change. In the facial expression recognition step, it computes facial feature vector by using PCA(Principal Component Analysis) and recognizes smile expression by using a multilayer perceptron artificial network. The proposed system let the user train smile expression by recognizing the user's smile expression in real-time and displaying the amount of smile expression. Experimental result show that the proposed system improve the correct recognition rate by using face region verification based on SVM and using illumination normalization based on histogram matching.

Clinical Analysis of Bell's Palsy (Bell마비의 임상적 분석)

  • Kim, Kyung Jib;Lee, Dong Kuck;Seok, Jung Im
    • Annals of Clinical Neurophysiology
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    • v.9 no.1
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    • pp.5-10
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    • 2007
  • Background: Bell's palsy (BP) is a self-limited rapid onset facial palsy that is non-life-threatening and has a generally favorable prognosis. Facial paralysis can be caused by numerous conditions, all of which should be excluded before the diagnosis of BP is reached. The etiopathogenesis and clinical course of BP are uncertain. So we analyzed the epidemiology and clinical course of BP patients. Methods: The subjects include 100 cases of BP examined during the period of 18 months. Careful clinical history, neurologic examinations, laboratory tests, electrophysiologic studies, and brain imaging were performed. Follow-up examinations were done once a week during the first month and subsequently once a month until normal function was restored or for up to 3 months. Facial nerve function was assessed by House-Brackman (HB) facial nerve grading scale and electrophysiologic studies. Results: Except 13 recurrent BP patients, we analyzed 87 BP patients. Forty-four (50.6%) were men and 43(49.4%) were women and the mean age was 51.0(${\pm}16.6$) years. Three (3.4%) patients showed a familial tendency. The initial examination within 1 week after attack revealed 35.2% was below HB grade 4 and 64.8% was above grade 3. The associated symptoms are as follows; postauricular pain, increase tear flow, taste change, hyperacusis and drooling. The initial facial nerve conduction study and blink reflex within 1 week after attack showed abnormal findings in 12.6% and 100%, respectively. Brain MRI was performed in 59(67.8%) patients and showed abnormal enhancement of affected nerve in 57(96.6%). Follow-up examination showed that 78.2% of the patients partially improved within 4 weeks and completely improved within 3 months. Finally 80.5% of the total patients obtained normal function in 3 months. Conclusions: We report epidemiologic, clinical, electrophysiologic and radiologic characteristics of BP patients.

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Effect of Spicy Food on Face Image Color According to Sasang Constitution (사상체질에 따른 매운 음식이 얼굴 색상에 미치는 영향)

  • Ka, Min-Kyoung;Kim, Mi-Hye;Kim, Bong-Hyun;Kim, Hee-Dai;Cho, Dong-Uk
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.5
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    • pp.2671-2677
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    • 2014
  • These days, there is increasing those who like spicy food, people release stress by eating spicy food. But, when you eat spicy food, there is a difference but, we visually can be found red facial color to change. In this paper, when you eat spicy food, we carried out experiment which comparison and analysis color change of facial area depending on Sasang constitutional type. To this end, we organized test subject group by Sasang constitutional type according to survey result for Sasang constitutional type. And then we carried out interrelationship analysis between spicy food and facial color depending on facial color to apply Lab color system based on facial image which is before and after eat a hot spicy pepper.

Analysis of Understanding Using Deep Learning Facial Expression Recognition for Real Time Online Lectures (딥러닝 표정 인식을 활용한 실시간 온라인 강의 이해도 분석)

  • Lee, Jaayeon;Jeong, Sohyun;Shin, You Won;Lee, Eunhye;Ha, Yubin;Choi, Jang-Hwan
    • Journal of Korea Multimedia Society
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    • v.23 no.12
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    • pp.1464-1475
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    • 2020
  • Due to the spread of COVID-19, the online lecture has become more prevalent. However, it was found that a lot of students and professors are experiencing lack of communication. This study is therefore designed to improve interactive communication between professors and students in real-time online lectures. To do so, we explore deep learning approaches for automatic recognition of students' facial expressions and classification of their understanding into 3 classes (Understand / Neutral / Not Understand). We use 'BlazeFace' model for face detection and 'ResNet-GRU' model for facial expression recognition (FER). We name this entire process 'Degree of Understanding (DoU)' algorithm. DoU algorithm can analyze a multitude of students collectively and present the result in visualized statistics. To our knowledge, this study has great significance in that this is the first study offers the statistics of understanding in lectures using FER. As a result, the algorithm achieved rapid speed of 0.098sec/frame with high accuracy of 94.3% in CPU environment, demonstrating the potential to be applied to real-time online lectures. DoU Algorithm can be extended to various fields where facial expressions play important roles in communications such as interactions with hearing impaired people.

Development of an intelligent camera for multiple body temperature detection (다중 체온 감지용 지능형 카메라 개발)

  • Lee, Su-In;Kim, Yun-Su;Seok, Jong-Won
    • Journal of IKEEE
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    • v.26 no.3
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    • pp.430-436
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    • 2022
  • In this paper, we propose an intelligent camera for multiple body temperature detection. The proposed camera is composed of optical(4056*3040) and thermal(640*480), which detects abnormal symptoms by analyzing a person's facial expression and body temperature from the acquired image. The optical and thermal imaging cameras are operated simultaneously and detect an object in the optical image, in which the facial region and expression analysis are calculated from the object. Additionally, the calculated coordinate values from the optical image facial region are applied to the thermal image, also the maximum temperature is measured from the region and displayed on the screen. Abnormal symptom detection is determined by using the analyzed three facial expressions(neutral, happy, sadness) and body temperature values. In order to evaluate the performance of the proposed camera, the optical image processing part is tested on Caltech, WIDER FACE, and CK+ datasets for three algorithms(object detection, facial region detection, and expression analysis). Experimental results have shown 91%, 91%, and 84% accuracy scores each.

A longitudinal study of facial growth in Korean children (한국아동의 안면골 성장에 관한 누년적 연구)

  • Chung, Kyu Rhim
    • The korean journal of orthodontics
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    • v.11 no.2
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    • pp.85-100
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    • 1981
  • Serial lateral cephalometric radiographs of 40 Korean children(25 males, 15 females) ranging in age from 6 to 13 years were studied by means of computer morphometrics and statistical analysis. As a result of this study, the following conclusions can be made: 1. In both sexes, the mean growth patterns of the face were very stable and the growth directions of the face were more prominent both forward and down-ward away from the cranial base(S-N). 2. In the mandible, the rotation and the 'wave-like' manner of migration were observed. 3. The size of the lateral faces in males was larger than females at 6 and 13 years of age, and the forms of the lateral faces in males were slightly more squares than females at 13 years of age. 4. The sex differences and practical means in the growth increments and growth rates during 7 years of the growth period were as follows: (1) In the total face, there was a significant sex difference in the growth increments(males $26.21cm^2$, females $23.24cm^2$) and growth rates(males $42.02\%$, females $39.28\%$). (2) In the facial surface 1, there was a significant sex difference in the growth increments(males $21.30cm^2$, females $19.19cm^2$) but there was no significant sex difference in the growth rates(males $41.35\%$, females $39.10\%$). (3) In the anterior total facial height(N-Ne), there was no significant sex difference in the growth increments(males 18.23mm, females 17.45mm) and the growth rates(males $18.44\%$, females $18.19\%$). (4) In the posterior total facial height(S-Go), there was a significant sex difference in the growth increments(males 14.61mm, females 12.98mm) but there was no significant sex difference in the growth rates(males $23.78\%$, females $22.25\%$). 5. The percentages of anterior upper facial height to anterior total facial height in both sexes were very stable in spite of the age increase. 6. The percentage of total facial height to standing height was reduced by the age increase, and the reduced rate of anterior total facial height(males $13.26\%$, females $13.75\%$) was larger than the posterior total facial height(males $9.95\%$, females $11.70\%$). 7. The correlations of lateral facial surfaces to the standing height and the weight were higher in males than females, but the level of correlation in males was in the moderate range.

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