• Journal of KIISE:Software and Applications
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• v.37 no.7
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• pp.578-583
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• 2010

This paper presents an automated visualization system, called StyleVisualizer, which checks the coding style of source codes and visualizes the coding style score using facial expression. Our system represents some kinds of facial expressions according to the evaluated score of the code style: A smile face means that the source code follows coding standards correctly. To measure the effectiveness of the StyleVisualizer, some experiments have been conducted on two class students in an applied computer course. In the experiments, we have compared the error ratio for obeying the coding standards when the StyleVisualizer was used or not. According to the experimental results, the error ratio with the StyleVisualizer was reduced above 30% than that without it. We expect that our system can encourage the students to obey the coding standards by providing the feedback of the visualized faces corresponding to their programs, resulting in high readable programs.

• Journal of Fashion Business
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• v.14 no.2
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• pp.14-26
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• 2010

This study aims to investigate how the woman's beauty makeup trend had been changed in 1960s by analyzing the characteristics of woman's make-up in that period. For this study, a lot of documents and papers related to the woman's make-up were collected and reviewed. In particular, to analyze the characteristics of woman's make up trend in 1960s, a lot of women's pictures and makeup-related articles from 143 volumes of woman's magazines such as Yeowon and Jubusaenghwal were collected. Among the 624 pictures, fifty two pictures which were good enough for studying the total face and makeup were used for this study. The period of this study ranges from 1960 through 1969 and the analysis is focused on skin expression, eyebrow, eye shadow, eye line, lipstick, and brusher and through the related articles, the intention and contents of make up. were delivered and found out. The results are as follows. In early 1960s, the woman's make up was characterized by the make up ranging from unnatural and gray skin expression to dense pink skin expression, giving natural and glossy tint onto the skin and in particular putting a bright accent on the eyelid, eye or lip. In the mid-1960s, the make up style expressed skin more naturally, giving more shading on the eyelid, nose and lip, thus having cubic make-up. In the late 1960s, the make up became more refined and harmonized by using colors according to the TPO (time, place and objective) and skin color. The study results show that the women in 1960s pursued the "cute and young looking image" and used the make up to express their images young and cute. In the mid 1960s, the minimalism which pursued the pure and simple make up appeared in US. That trend affected the make up style of Korean women and hence Korean women showed more natural make up style in the mid and late 1960s.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.3
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• pp.924-942
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• 2020

The facial expression is diverse and various among persons due to the impact of the psychology factor. Whilst the facial action is comparatively steady because of the fixedness of the anatomic structure. Therefore, to improve performance of the action unit recognition will facilitate the facial expression recognition and provide profound basis for the mental state analysis, etc. However, it still a challenge job and recognition accuracy rate is limited, because the muscle movements around the face are tiny and the facial actions are not obvious accordingly. Taking account of the moving of muscles impact each other when person express their emotion, we propose to make full use of co-occurrence relationship among action units (AUs) in this paper. Considering the dynamic characteristic of AUs as well, we adopt the 3D Convolutional Neural Network(3DCNN) as base framework and proposed to recognize multiple action units around brows, nose and mouth specially contributing in the emotion expression with putting their co-occurrence relationships as constrain. The experiments have been conducted on a typical public dataset CASME and its variant CASME2 dataset. The experiment results show that our proposed AU co-occurrence constraint 3DCNN based AU recognition approach outperforms current approaches and demonstrate the effectiveness of taking use of AUs relationship in AU recognition.

• Journal of Haehwa Medicine
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• v.17 no.2
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• pp.167-183
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• 2008

KCSYJT medicines controlled $CD4^+/IFN-\gamma$, and $CD4^+/CD25^+/foxp3^+$ revelation that an experiment that motive allergy immune reponse because an in vitro experiment stimulates T cells of a NC/Nga mouse same time by anti-CD40/rmIL-4, and interleukin-$1{\beta}$, IL-6, TNF-$\alpha$, and TGF-$\beta$ mRNA outturn that bear in T and B cells decreased remarkably by KCSYJT medicines. Intracellular staining of splenocytes anti-CD40/rmIL-4 plus rmIL-4 stimulated as described in a, assessed after 24 h, KCSYJT exerts a mainly immunosuppressive effect that acts at least partially through suppression of the transcription factor GATA3 expression in $CD4^+$ T cells. We found that skin lesions, which were clinically and histologically very similar to human AD, mite antigen-induced dermatitis on the face, neck, ears and dorsal skin of inbred NC/Nga mice. Result that Th1 cell and Th2 cell observe to be shifted by cytokine expression with GATA3 regulation by KCSYJT medicines could know that KCSYJT medicines can use usefully in allergy autoimmnune diease.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.3
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• pp.60-68
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• 2007

In this paper, we propose an automatic facial expressions recognition system to analyze facial expressions (happiness, disgust, surprise and neutral) using tree structures based on heuristic rules. The facial region is first obtained using skin-color model and connected-component analysis (CCs). Thereafter the origins of user's eyes are localized using neural network (NN)-based texture classifier, then the facial features using some heuristics are localized. After detection of facial features, the facial expression recognition are performed using decision tree. To assess the validity of the proposed system, we tested the proposed system using 180 facial image in the MMI, JAFFE, VAK DB. The results show that our system have the accuracy of 93%.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.33-40
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• 2023

As South Korea enters the realm of an super-aging society, the demand for elderly welfare services has been steadily rising. However, the current shortage of welfare personnel has emerged as a social issue. To address this challenge, there is active research underway on elderly care robots designed to mitigate the social isolation of the elderly and provide emergency contact capabilities in critical situations. Nonetheless, these functionalities require direct user contact, which represents a limitation of conventional elderly care robots. In this paper, we propose a solution to overcome these challenges by introducing a care robot system capable of interacting with users without the need for direct physical contact. This system leverages commercialized elderly care robots and cameras. We have equipped the care robot with an edge device that incorporates facial expression recognition and action recognition models. The models were trained and validated using public available data. Experimental results demonstrate high accuracy rates, with facial expression recognition achieving 96.5% accuracy and action recognition reaching 90.9%. Furthermore, the inference times for these processes are 50ms and 350ms, respectively. These findings affirm that our proposed system offers efficient and accurate facial and action recognition, enabling seamless interaction even in non-contact situations.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.748-750
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• 2004

본 논문은 연속적으로 입력되는 2차원 얼굴 영상에서 얼굴의 특징 영역들을 추출하여 3차원 얼굴 모델의 표정을 실시간으로 제어하는 방법에 관한 연구이다. 2차원 얼굴 영상에서 얼굴을 추출하기 위해 Hue, Saturation 색상 값을 사용하며, 두 가지 색상 값을 이용하여 피부색과 배경색을 분리함으로써 얼굴 영역을 추출 할 수 있다. 추출 된 얼굴에서 특징 영역인 눈 코, 입술 영역 등의 일지를 각각의 영역에 적합한 추출 방법을 이용하여 추출한 뒤, 프레임 별로 영역들의 움직임을 비교함으로써 영역의 움직임 정보를 획득 할 수 있다. 이 정보를 3차원 얼굴 모델에 적용하여 2차원 동영상에서 획득된 대상의 얼굴의 표정을 3차원 얼굴 모델에 실시간으로 표현 할 수 있도록 한다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.294-298
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• 2005

바이오메트릭스의 여러 가지 기술 중에서 얼굴인식은 지문인식, 손금인식, 홍채인식 등과는 달리 신체의 일부를 접촉시키지 않고도 원거리에 설치된 카메라를 통해 사람을 확인할 수 있는 장점을 가지고 있다. 그러나 얼굴인식은 조명변화, 표정변화 둥의 다양한 환경변화에 대단히 민감하게 반응하므로 얼굴의 특징 영역에 대한 정확한 추출이 반드시 선행되어야 한다. 얼굴의 주요 특징인 눈, 코, 입, 눈썹은 자세와 표정 그리고 생김새에 따라 다양한 위치, 크기, 형태를 가질 수 있다. 본 연구에서는 변화하는 특징 영역과 특징 점을 정확히 추출하기 위하여 얼굴을 9가지 방향으로 분류하고, 각 분류된 방향에서 특징 영역을 통계적인 형태에 따라 다시 2차로 분류하여, 각각의 형태에 대한 표준 템플릿을 생성하여 검출하는 방법을 제안한다.

• Journal of Oral Medicine and Pain
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• v.45 no.3
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• pp.79-82
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• 2020

Tetanus is a fatal disease caused by the infection Clostridium tetani found in animal feces and soil. It is a vaccine-preventable disease and rarely occurs in developed countries. However, approximately 30 cases still occur annually in South Korea. Tetanus, commonly called lockjaw, cause contraction of the masseter muscles in the early stage, resulting in trismus as the first symptom. As it progresses, spasm extends to various muscles in the face, neck, shoulder, and back, leading to distorted facial expression, dysphagia, backward arching of the body, dyspnea, and even death. Early diagnosis of tetanus is critical because it can quickly become fatal if left untreated. We present a case of trismus caused by tetanus and emphasize the importance of early diagnosis of acute trismus.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1908-1909
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• 2011

Hand gesture recognition has been widely used in virtual reality and HCI (Human-Computer-Interaction) system, which is challenging and interesting subject in the vision based area. The existing approaches for vision-driven interactive user interfaces resort to technologies such as head tracking, face and facial expression recognition, eye tracking and gesture recognition. The purpose of this paper is to combine the finite state machine (FSM) and the gesture recognition method, in other to control Windows Media Player, such as: play/pause, next, pervious, and volume up/down.