• Journal of Acupuncture Research
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• v.38 no.4
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• pp.276-283
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• 2021

The purpose of this review was to investigate acupotomy treatment for peripheral facial palsy. By reviewing recent clinical trends, this may contribute to standardizing acupotomy treatment methods. There were 7 randomized controlled trials and 6 case series using acupotomy treatment for peripheral facial palsy published between January 01, 2014 and April 05, 2021, which were retrieved from 9 online databases. The number and characteristics of participants, main treatment sites, combination treatments, size of acupotomy needle, frequency and total period of treatment, evaluation indices, efficacy, and adverse events were analyzed. "Tender point or induration," "infraorbical foramen," and "buccal mucosa" were the most used treatment sites. The sizes of acupotomy needles varied from 20 mm to 80 mm in length, and 0.35 mm to 1.0 mm in diameter. One treatment cycle was performed every 3 to 5-7 days, and the number of treatments per treatment session ranged from 3 to 5-9 cycles. The results were evaluated using 1 to 4 evaluation indices and 9 different evaluation indices were used overall. The efficacy rate was the most used index, followed by the House-Brackmann grade, and electrocardiography. The "Risk of Bias 2," categorized most studies as having "some concerns." There were few adverse events reported.

• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.41-47
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• 2022

In this paper, we propose a new and simple self-supervised learning method that predicts the middle image of a face image sequence for automatic expression recognition. Automatic facial expression recognition can achieve high performance through deep learning methods, however, generally requires a expensive large data set. The size of the data set and the performance of the algorithm are tend to be proportional. The proposed method learns latent deep representation of a face through self-supervised learning using an existing dataset without constructing an additional dataset. Then it transfers the learned parameter to new facial expression reorganization model for improving the performance of automatic expression recognition. The proposed method showed high performance improvement for two datasets, CK+ and AFEW 8.0, and showed that the proposed method can achieve a great effect.

• Korean Journal of Cognitive Science
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• v.6 no.2
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• pp.47-79
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• 1995

Since the early age of computer graphics, facial animation has been applied to various fields, and nowadays it has found several novel applications such as virtual reality(for representing virtual agents), teleconference, and man-machine interface.When we want to apply facial animation to the system with multiple participants connected via network, it is hard to animate facial expression as we desire in real-time because of the size of information to maintain an efficient communication.This paper's major contribution is to adapt 'Level-of-Detail'to the facial animation in order to solve the above problem.Level-of-Detail has been studied in the field of computer graphics to reperesent the appearance of complicated objects in efficient and adaptive way, but until now no attempt has mode in the field of facial animation. In this paper, we present a systematic scheme which enables this kind of adaptive control using Level-of-Detail.The implemented system can generate speech synchronized facial expressions with various types of user input such as text, voice, GUI, head motion, etc.

• Archives of Craniofacial Surgery
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• v.22 no.2
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• pp.78-84
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• 2021

Background: Facial feminization surgery and malarplasty require information concerning facial features in the malar area. Such information varies as a function of sex and race. The objectives of this study aimed to quantitatively evaluate the location of malar prominence across sexes in the Southeast Asian population, and identify sex-specific differences in malar prominence using a combination of two-dimensional (2D) computed tomography (CT) and three-dimensional (3D) CT. Methods: The location of malar prominence was evaluated in 101 Thai adults, consisting of 52 men and 49 women. This study used both 2D CT and 3D CT to achieve greater accuracy, in which 2D CT was used to measure malar distance, malar summit width, facial width, and malar summitto-facial width ratio whereas 3D CT was used to evaluate the positional relationship between the zygomatic summit and four reference points of the zygoma. Results: The malar summit was positioned more laterally in males (p< 0.01) and was more projected in females (p= 0.01). The other 2D-parameters were wider in males. The ratio between the malar summit width and facial width showed similar results for both sexes. The vertical dimension did not show any statistically significant differences; however, a higher summit position was observed in males. Conclusion: The zygomatic summit is positioned more laterally in males and is more projected in females. However, the ratio was similar, which indicates that the male cranium is larger in size. Based on the results in this study, when facial feminization surgery or malarplasty is performed on a Southeast Asian patient, the malar bone should be reduced horizontally and moved forward for better outcomes.

• Fashion & Textile Research Journal
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• v.25 no.2
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• pp.248-254
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• 2023

This study aims to measure the skin rigidity of different facial areas among Koreans and propose guidelines for each area's skin rigidity that can be applied with a facial robot for testing respiratory protective devices. The facial skin rigidity of 40 participants, which included 20 men and 20 women, aged 20 to 50, was analyzed. The rigidity measurement was conducted in 13 facial areas, including six areas in contact with the mask and seven non-contact areas, by referring to the facial measurement guidelines of Size Korea. The facial rigidity was measured using the Durometer RX-1600-OO while in a supine position. The measurement procedure involved contacting the durometer vertically with the reference point, repeating the measurement of the same area five times, and using the average of three values whose variability was between 0.4 and 4.2 Shore OO. The rigidity data analysis used precision analysis, descriptive statistics analysis, and mixed-effect ANOVA. The analysis confirmed the rigidity of the 13 measurement areas, with the highest rigidity of the face being at the nose and forehead points, with values of 51.2 and 50.8, respectively, and the lowest rigidity being at the chin and center of the cheek points, with values of 19.2 and 20.7, respectively. Significant differences between gender groups were observed in four areas: the tip of the nose, the point below the chin, the area below the lower jaw, and the inner concha.

• 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.

• The Journal of the Korea Contents Association
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• v.10 no.5
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• pp.90-98
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• 2010

This paper describes methodology which enables user in order to generate facial expression animation of caricature which applies a facial motion data in the vector based caricature. This method which sees was embodied with the plug-in of illustrator. And It is equipping the user interface of separate way. The data which is used in experiment attaches 28 small-sized markers in important muscular part of the actor face and captured the multiple many expression which is various with Facial Tracker. The caricature was produced in the bezier curve form which has a respectively control point from location of the important marker which attaches in the face of the actor when motion capturing to connection with motion data and the region which is identical. The facial motion data compares in the caricature and the spatial scale went through a motion calibration process too because of size. And with the user letting the control did possibly at any time. In order connecting the caricature and the markers also, we did possibly with the click the corresponding region of the caricature, after the user selects each name of the face region from the menu. Finally, this paper used a user interface of illustrator and in order for the caricature facial expression animation generation which applies a facial motion data in the vector based caricature to be possible.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.12
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• pp.71-83
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• 1996

This paper describes facial component detection and skew correction algorithm for face recognition. We use a priori knowledge and models about isolated regions to detect eye location from the face image captured in natural office environments. The relations between human face components are represented by several rules. We adopt an edge detection algorithm using sobel mask and 8-connected labelling algorith using array pointers. A labeled image has many isolated components. initially, the eye size rules are used. Eye size rules are not affected much by irregular input image conditions. Eye size rules size, and limited in the ratio between gorizontal and vertical sizes. By the eye size rule, 2 ~ 16 candidate eye components can be detected. Next, candidate eye parirs are verified by the information of location and shape, and one eye pair location is decided using face models about eye and eyebrow. Once we extract eye regions, we connect the center points of the two eyes and calculate the angle between them. Then we rotate the face to compensate for the angle so that the two eyes on a horizontal line. We tested 120 input images form 40 people, and achieved 91.7% success rate using eye size rules and face model. The main reasons of the 8.3% failure are due to components adjacent to eyes such as eyebrows. To detect facial components from the failed images, we are developing a mouth region processing module.

• Applied Chemistry for Engineering
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• v.27 no.5
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• pp.527-531
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• 2016

Emulsification is a fundamental process of cosmetics manufacture which produces stabilized emulsion by dispersing the liquid from the one side to the other by adding an emulsifier in an immiscible liquid. Various types of emulsifiers can produce various cosmetics. In this study, we evaluated the stability of emulsifier by measuring variations in the viscosity, particle size and particle size distribution. HLB values of nonionic emulsifiers which are used in this paper are 12.9, 12.9, 12.6 and 12.5 for EMU-01, EMU-02, EMU-03 and EMU-04, respectively. All types of emulsions showed an increase in the particle size and a decrease in the viscosity with the time. Also they showed a decrease in the particle size and an increase in the viscosity with respect to increasing the stirring speed. However, the stability of emulsions up to 56 days was secured by observing the non-separation of emulsions. In addition, the viscosity of the emulsions was measured in the order of EMU-01 > EMU-02 > EMU-03 > EMU-04 while the size of particles was measured in the order of $EMU-01{\approx}EMU-02$ > $EMU-03{\approx}EMU-04$. This indicates that our emulsion can be potentially used for preparing a cosmetic facial cream.

• Proceedings of the KIEE Conference
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• 1999.07g
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• pp.3236-3238
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• 1999

This paper proposes a new face recognition technique in the dynamic link architecture which shows robustness against size variation and distortion. The face recognition technique in the dynamic link architecture so far was not appropriate for the recognition of various size of faces because of the fixed size of the graph and the fixed value of a of the Gabor filter not considering the size of the face. The proposed face recognition algorithm can represent the input facial image by a suitable size of labeled graph, and it can also adjust the dilation width and the height of the vibrating amplitude of the Gabor filter, thus face recognition in the dynamic link architecture is even applicable regardless of the size of the face.