• International Journal of Advanced Culture Technology
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• v.4 no.4
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• pp.45-50
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• 2016

This is a humanistic study to trace phenomena logically the comprehensive therapeutic mechanism of the human body which is coded by the smart emotion of the rated signal conveyed by the Rated Sijo. The Gestalt, which is structured in the form of therapeutic metastasis conveyed by sentences, is intended to embody the principle of human response. So, this researcher explored the metastatic structure toward Gestalt of original human being through the passage of foreground and background by ergonomic and chemical structure. In the meantime, this researcher focused on revealing the structure of the field of existence by the symbol system in which the therapeutic mechanism of the human body is embodied. As a result, the basic framework of Gestalt literary therapy, which contributes to the improvement of the Quality of Life metaphorized as a mechanism of the symbol system by the metastasis of literary therapy or the electrical operation of the human body. As a result, the human body as a conductor through literature has turned out to be an original Gestalt structure pursued by literature. In addition, it was analyzed that the human body would accept signals such as emotions and Rated Emotions planted in the sentence, and synapse them into the human physiological psycho analytical symbol system. Therefore, it has been confirmed possibility that human existent environment and trauma are separated from the whole universe can push fully implement therapeutic techniques toward totalization by a combination of literary devices, especially appropriate electric signal combination of the Rated Sijo.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.6
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• pp.154-161
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• 2008

In this paper, a novel method is proposed using color and pattern information for recognizing some emotions included in a fertile. Here we use 10 Kobayashi emotion to represent emotions. - { romantic, clear, natural, casual, elegant chic, dynamic, classic, dandy, modem } The proposed system is composed of feature extraction and classification. To transform the subjective emotions as physical visual features, we extract representative colors and Patterns from textile. Here, the representative color prototypes are extracted by color quantization method, and patterns exacted by wavelet transform followed by statistical analysis. These exacted features are given as input to the neural network (NN)-based classifiers, which decides whether or not a textile had the corresponding emotion. When assessing the effectiveness of the proposed system with 389 textiles collected from various application domains such as interior, fashion, and artificial ones. The results showed that the proposed method has the precision of 100% and the recall of 99%, thereby it can be used in various textile industries.

• KIISE Transactions on Computing Practices
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• v.22 no.12
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• pp.687-692
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• 2016

The advent of Internet of Things(IoT) has increased the need for development of smart life based on Information and Communication Technology(ICT). By using IoT technology, we are able to control connected appliances using smart devices, such as smart phone. To support the smart life, there is a need to utilize emotion information for human behavior, based on both biorhythm and environment information. Research towards this goal suggests a smart lamp control system that has an effect on the human emotion. According to the PSI theory, the control system calculates the biorhythm with an algorithm that uses the human biorhythm, weather factors and walking amounts. The smart lamp works with the recommended color lights that can control the feelings and emotions of the user. Here, we will show the effect of physical and mental stability, health care, and accident prevention.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.1
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• pp.32-37
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• 2016

When another person is injured finger in the car door do you know that feeling? Do you feel the emotion reading a novel? How do you feel the emotion of other person? This is due to empathy. Empathy is feel emotion or react emotionally of other person. Empathy is feel together. In this paper, we are going to describe how to measure these empathy. Before you begin, it is not easy to measure human empathy. The reason is that humans have communications system is diverse. Because it is different feel and be expressed sympathy for each person, is required various data analysis. In this paper, we proposed a new method to utilize Head Nodding and a short speech units (1sec : A-ha, Yes, Good etc.).

• 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.

• Science of Emotion and Sensibility
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• v.27 no.1
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• pp.81-92
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• 2024

This study analyzed augmented reality (AR) technology use in the fashion industry by classifying them based on product, wearer, space, purpose, and use. In this study, 76 cases of AR technology use in the fashion industry that were analyzed in domestic and foreign portals (Google, Naver, etc.) and research articles were collected and analyzed. The study found that in AR technology cases, the dimensions of the product, wearer, and space were utilized in various ways, including real, virtual, and their combination. AR technology was used diversely and creatively in design and product development, marketing and publicity, fashion shows, try-ons, online and offline sales and distribution, etc. Through AR technology, the categories of fashion products, concept of fashion shows, try-on methods, marketing and promotional tools, and sales tools are expanded more creatively from the existing framework. For inclusive growth within the fashion industry in the future, the national government, local governments, and large corporations should develop measures in bridging the digital gap, such as the use of AR technology according to technological readiness, capital, and age.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.11a
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• pp.273-276
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• 2009

Photovoltaic-thermal(PVT) collectors are a combination of photovoltaic modules with solar thermal collectors, forming one device that receives solar radiation and produces electricity and heat simultaneously. Of various PV modules, dye-sensitized solar cell(DSC) is a relatively new type of solar cell technology that can transmit light while they can generate electricity. With this aspect, DSC can be applied into solar thermal collectors. The object of this study is to evaluate the thermal performance of PVT collector with DSC. The thermal performance of the DSC PVT combind collector was measured in outdoor conditions with the solar radiation of over $700W/m^2$. In this study, the PVT collector with the 30% light transmittance of DSC achieved its thermal efficiency of about 36%.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.11a
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• pp.254-257
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• 2009

유비쿼터스 시대가 도래하면서 사용자를 중심으로 하는 서비스에 대한 관심이 증가하고 있다. 더불어 사용자의 특성에 맞는 개인화 된 서비스를 요구하고 있다. 본 논문에서는 유비쿼터스 공간에서 소형화, 지능화되고 있는 개인형 이종 디바이스 간의 협업을 통해 사용자에게 보다 직관적이고 편리한 개인화된 서비스를 제공하기 위한 디바이스 협업 기반 에이전트 기술을 제안한다. 본 연구에서는 센서를 통해 사용자 환경에 대한 정보 및 사용자 정보를 수집하여 기본적인 서비스에 필요한 상황정보를 처리한다. 또한, 유비쿼터스 사용자에게 필요한 멀티모달 서비스를 제공한다. 따라서 일반적인 자동화 서비스 이상의 개인 특성에 맞는 고품질의 서비스를 제공할 수 있다.

• Phonetics and Speech Sciences
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• v.1 no.2
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• pp.111-118
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• 2009

The present study aims at investigating the relationship between voices and the physical images triggered by the voices. It is the final part of a four-part series and the results reported in the present study are limited to those of American speakers and American listeners. Combined with the results from previous studies (Moon, 2000; Moon, 2002; Tak, 2005), the results suggest that (1) there is a very strong, much higher than chance-level relationship between voices and the pictures chosen for the voices by the perception experiment subjects; (2) the more physical characteristics that are given, the better the chance for correctly matching voices with pictures; and (3) culture (in the present, language environment) seems to play a role in conjuring up the mental images from voices.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.05a
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• pp.68-73
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• 2001

The word "cyber-space" was coined through the developments in communication technology and computers. It became possible to experience disembodied space in practice through a new kind of medium. this research aims to clarify the kansei stimulation elements as realistic sensed by users who use 3-dimensional expressions in cyber-space. The research was carried out by preparing 25 samples of computer graphics, and administering 3 questionnaires to 12 examinees. The Principal Ingredient Analysis method was used for its analysis and assessment. As a result of this research, it can be concluded that materials, reflection and shadow have the strongest effect on human beings' senses in cyber-space.