• Journal of Convergence for Information Technology
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• v.8 no.2
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• pp.227-232
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• 2018

The purpose of this study is to investigate the relationship between facial image efficacy and job satisfaction in a sample of 167 workers in SMEs in Seoul and Gyeonggi province. and to examine the effect of SME workers' face image efficacy on job satisfaction. The results of the study are as follows. First, there was a statistically significant correlation between management ability and job satisfaction, which is a sub - area of facial image efficacy. This means that the higher the management ability, the higher the degree of job satisfaction. There was a statistically significant correlation between perception attitude and job satisfaction, which is a sub - area of face image efficacy. Second, management ability, which is a sub - area of face image efficacy of SME workers, has a statistically significant effect on job satisfaction. The sub - domain of face image efficacy has no effect on job satisfaction, Expression confidence, which is a sub-domain of image efficacy, has a statistically significant effect on job satisfaction.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.4
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• pp.131-144
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• 2015

The object of this study was to find out the influence of female consumers' cosmetics purchase experience on image-making efficacy and cosmetics pursuit benefits. Total 405 surveys of women working at the industrial complex in Daegu-Kyoungbuk area were used for data analysis. Frequency, factor analysis, reliability analysis, regression analysis, and ${\chi}^2$-test were used for data analysis. Our findings are as follows. Cosmetics purchase experience of female consumers had factors as recognition experience, relationship experience, emotional experience, visit experience, and sensual experience. The factors of image-making efficacy were self-confidence in displaying, ability of facial expression and display ability while those of cosmetics purchase experience turned out to be trend/brand pursuit, appearance improvement pursuit, functionality pursuit and economic feasibility pursuit. Cosmetics purchase experience was found to have significant effects on the factors of image-making efficacy, and cosmetics purchase experience on factors of cosmetics pursuit benefits. The differences by ages variable was examined with relation to the level of make-up and how they chose products when buying.

• Journal of Biomedical Engineering Research
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• v.45 no.2
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• pp.95-100
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• 2024

Vitiligo is a condition characterized by the destruction or dysfunction of melanin-producing cells in the skin, resulting in a loss of skin pigmentation. Facial vitiligo, specifically affecting the face, significantly impacts patients' appearance, thereby diminishing their quality of life. Evaluating the efficacy of facial vitiligo treatment typically relies on subjective assessments, such as the Facial Vitiligo Area Scoring Index (F-VASI), which can be time-consuming and subjective due to its reliance on clinical observations like lesion shape and distribution. Various machine learning and deep learning methods have been proposed for segmenting vitiligo areas in facial images, showing promising results. However, these methods often struggle to accurately segment vitiligo lesions irregularly distributed across the face. Therefore, our study introduces a framework aimed at improving the segmentation of vitiligo lesions on the face and providing an evaluation of vitiligo lesions. Our framework for facial vitiligo segmentation and lesion evaluation consists of three main steps. Firstly, we perform face detection to minimize background areas and identify the face area of interest using high-quality ultraviolet photographs. Secondly, we extract facial area masks and vitiligo lesion masks using a semantic segmentation network-based approach with the generated dataset. Thirdly, we automatically calculate the vitiligo area relative to the facial area. We evaluated the performance of facial and vitiligo lesion segmentation using an independent test dataset that was not included in the training and validation, showing excellent results. The framework proposed in this study can serve as a useful tool for evaluating the diagnosis and treatment efficacy of vitiligo.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.28 no.3
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• pp.91-108
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• 2002

Whitening agents are eagerly demanded especially by oriental women who often suffers from the pigmentary disorders such as melasma and solar lentigines. As these pigmentary disorders are exacerbated by ultraviolet (UV), the whitening agents could exert its effect not only by inhibiting melanin synthesis but also by inhibiting UV activated signals. Eumelanin protects UV-induced DNA damages so that the chemicals which could reduce UV-induced DNA damages might be the ideal lightening agents. The effect of newly synthesized antioxidants, a-tocopheryl ferulate, on protective effect for UV-induced DNA damages as well as inhibiting melanin synthesis are briefly shown. For clinical evaluation, our results of the efficacy of lightening agents on treating pigment macules in combination with chemical peeling are shown. Furthermore, newly developed facial image analyzers to quantitatively evaluate the improvement of pigment macules are introduced.

• Journal of Acupuncture Research
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• v.33 no.3
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• pp.117-127
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• 2016

Objectives : This study was performed to observe the effect of complex therapy, including electro-acupuncture and magnetic-acupuncture, on peripheral facial nerve palsy. Methods : Nine patients with peripheral facial nerve palsy were treated with acupuncture using electrical and magnetic stimulation. Acupoints in the face were stimulated with an electromagnetic field, as widely and as evenly as possible. To evaluate the effects before and after treatment we used Yanagihara's unweighted grading system, House-Brackmann scale, and Sunnybrook facial grading system and image once a week. Results : After treatment, the scores of Yanagihara's unweighted grading system, House-Brackmann scale and Sunnybrook facial grading system each improved (p-value < 0.05). Conclusion : Complex therapy using electro-acupuncture and magnetic-acupuncture might be an effective treatment to improve symptoms of peripheral facial nerve palsy. Further randomized-controlled trials are required to verify the efficacy and results of this study.

• Korean Journal of Acupuncture
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• v.30 no.2
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• pp.114-121
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• 2013

Objectives : The purpose of this study is to evaluate the efficacy of acupuncture treatment on the inflammatory lesions and body image disturbances in patients with vulgaris acnes. Methods : Fifteen inflammatory acne patients were enrolled and treated with facial acupuncture during 4 treatment sessions. We evaluated the number of papules and nodules using the Korean Acne Grading System (KAGS). We also evaluated patients' general subjective satisfaction and objective changes of inflammatory acnes symptoms using DermaVision-pro. Moreover, we observed the skin quality-of-life scale with skindex-29 and body image disturbance questionnaire (BIDQ) as secondary outcome. Adverse events were recorded as well at every visit. Results : After 4 treatment sessions, there were significant reductions in the number of papules and nodules of the patients. We found that subjective satisfactions of patients were enhanced as well as the objective inflammatory symptoms. We also found significant improvements in the quality of life and BIDQ. No serious treatment-related adverse events were reported. Conclusions : This study demonstrated that standardized facial acupuncture were effective and safe in the treatment of facial inflammatory acnes.

• Journal of Broadcast Engineering
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• v.11 no.1 s.30
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• pp.15-27
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• 2006

In this paper, a novel approach is addressed to facilitate the browsing of large collection of digital photos associated with specified person(s) in the photos. The goal of the proposed method is to exploit additional person-identity features as incorporating facial regions and peripheral clothes region associated with them. For more effective incorporation of the clothes and facial features, situation-based photo clustering is also proposed. To evaluate the efficacy of the proposed method experiment was performed with 1120 generic home photos. The experiment results showed that the proposed method outperformed the conventional method us El.g only face feature as showing the average performance of about 92% contrary to the average performance of about 70% in the conventional method.

• The Journal of Internal Korean Medicine
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• v.25 no.4
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• pp.140-146
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• 2004

Objectives : this study is to see if there is a significance in thermal differences of acupoints in diagnosis and treatment period of facial paralysis and to substantiate the validity of acupuncture and moxibustion treatment for it. Methods : 1. By using DITI, thermal differences of acupoints on the face and the upper limbs of 13 Bell's palsy patients were measured around 3 days after an attack of the disease. These 13 patients, whose treatment progress was monitored up to 6 months after attack, were among the inpatients and outpatients of oriental internal medicine of National Medical Center from July 1 to August 31. 2. The patients were divided into 1month, 2-3months, 4months, 6months groups according to the occasion of improvement and thermal averages of each treatment period measured. Results : When it takes within 1 month for the condition of facial paralysis to change for the better, DITI image shows the temperature of the affected face parts and arms is higher than that of the non-affected parts. However, when it takes more than 4 months, the temperature of the affected face parts and arms on DITI image is lower than that of the non-affected parts. Conclusions : Hereby, prognosis of the disease and necessary time for the treatment can be presumed through DITI screening after an occurrence of facial paralysis. Also, condition of the disease is reflected by thermal differences of acupoints for Bell's palsy treatment that are in accordance with the theory of meridian on the face. This supports the efficacy of acupuncture and moxibustion treatment for this disease.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.5
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• pp.9-13
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• 2020

Sasang Constitutional Medicine is a traditional Korean medicine optimized for personalized medicine, and despite its effective clinical efficacy, the inaccuracy of constitutional diagnosis has been pointed out as a limitation. To improve the accuracy, a constitutional analysis algorithm based on quantitative data was developed. In this study, a constitutional analysis experience system applied with the algorithm was developed and repeatability was evaluated. The system analyzes the constitution of the experiencer by collecting front and side facial images, audio, and questionnaire and calculating the integrated constitution probability value. To evaluate the repeatability of the probability values of the system was performed five times each for three people, and the coefficient of variation was 4.778%, indicating that the repeatability was sufficient. The system could contribute to the promotion of the awareness of Sasang medicine.

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.179-186
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• 2023

For the future prosperity of any society, the sound growth of children is essential. Autism Spectrum Disorder (ASD) is a neurobehavioral disorder which has an impact on social interaction of autistic child and has an undesirable effect on his learning, speaking, and responding skills. These children have over or under sensitivity issues of touching, smelling, and hearing. Its symptoms usually appear in the child of 4- to 11-year-old but parents did not pay attention to it and could not detect it at early stages. The process to diagnose in recent time is clinical sessions that are very time consuming and expensive. To complement the conventional method, machine learning techniques are being used. In this way, it improves the required time and precision for diagnosis. We have applied TFLite model on image based dataset to predict the autism based on facial features of child. Afterwards, various machine learning techniques were trained that includes Logistic Regression, KNN, Gaussian Naïve Bayes, Random Forest and Multi-Layer Perceptron using Autism Spectrum Quotient (AQ) dataset to improve the accuracy of the ASD detection. On image based dataset, TFLite model shows 80% accuracy and based on AQ dataset, we have achieved 100% accuracy from Logistic Regression and MLP models.