• Journal of Information Processing Systems
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• v.17 no.6
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• pp.1138-1156
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• 2021

Emotional semantics are the highest level of semantics that can be extracted from an image. Constructing a system that can automatically recognize the emotional semantics from images will be significant for marketing, smart healthcare, and deep human-computer interaction. To understand the direction of image emotion recognition as well as the general research methods, we summarize the current development trends and shed light on potential future research. The primary contributions of this paper are as follows. We investigate the color, texture, shape and contour features used for emotional semantics extraction. We establish two models that map images into emotional space and introduce in detail the various processes in the image emotional semantic recognition framework. We also discuss important datasets and useful applications in the field such as garment image and image retrieval. We conclude with a brief discussion about future research trends.

• Cartoon and Animation Studies
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• s.36
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• pp.349-374
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• 2014

The light is the language. Directors have to describe the scene component effectively his intention to configure the scene as an appropriately. After this act of the character, the layout of the props and scene lights will enter to the scene components. Those things help to audiences can understand narrative of work and emotion that producer want to send. Expressing their emotions especially using the lights by adjusting the colors and contrast makes audience to concentrate on work and understand naturally. This lighting technique clearly appears on early year theaters stage of England and Rembrandt's paintings. Properly dividing and controlling the lights dramatically increases the beauty of the work elements to express a variety of emotions such as worries and fear. Therefore, it can be evolve depending on director's intent of using lights on his work. Lights can increase involvement of human emotion through basic features that cognition of object, visualization of space-time and by artistic method in the product. This study will examine the role and how to use lighting to express the proper sentiment based on the narrative of the work. Making research named "Lighting Research of 3D animated film which applying light features to express emotion" previous study and have to combine emotional vocabulary and emotion-based theory for classifying the emotional language that can be applied on 3D animation. And choosing most emotional scene from 3D animation for analyze how they used lighting to expressing emotions. Directors trying to show up about the light role through light method that matched perfectly with an emotional language. Expecting this research work of directing 3D animations light for expressing emotional feelings will be continue successfully.

• 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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• 2001.05a
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• pp.215-218
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• 2001

본 연구는 가시광선영역에서 각각의 색을 구현하여 색채치료에 이용하기 위한 시스템을 개발하는데 있다. 사용된 광원은 에너지 밀도가 전파장에 걸쳐서 일정한 Dichroic reflector hallogen lamp를 사용하였고, 광원에서 발생하는 적외선을 차단하기 위하여 IR filter를 사용하였다. 색채치료에 사용 가능한 순수한 파장의 색을 분리하기 위하여 long pass filter와 short pass filter로 구성되는 color filter set를 사용하여 구성하였다. 개발된 가시광선 제시 시스템은 빨강, 파랑, 노란 광을 낼 수 있도록 되어 있으며 각각의 광도는 2390 lx, 1020 lx, 17400 lx이다. 개발된 시스템의 객관적 효과를 검증하기 위하여 피부 서식균으로 항균 실험을 하나 결과 노란 광이 빨강이나 파란 광에 비해 세포성장 억제가 컸다. 대식세포와 피부암세포로 실시한 항염 실험은 각각의 색광에 대한 영향이 크지 않았다.

• Science of Emotion and Sensibility
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• v.4 no.1
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• pp.7-14
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• 2001

Based on the past research works on the relationship between face type and personality, personality and purchasing behavior, personality and preference for color, face type and preference for color, we assumed that there could be certain differences in preferred color tone in purchasing automobile according to face type. Objective of this paper is to analyze what differences there are preferred color tones of purchasing automobile by face type. The questionnaires on preferred color tone of automobile were investigated, and the tone of color were classified into light, dark, brilliant, plain tones, and the differences of preferred color tone of purchasing automobile were analyzed by the face types. The result showed the facts that compared with the other types, the rectangular face type preferred the light tone of color, whereas the other face types little showed a distinctive inclination for a particular color tone. Results of this research could be utilized for automobile sales policy for materials of research into color tones, provided some problems are fixed and the concrete researches into relationship between face type and personality, purchasing behavior, preference for color are carried out.

• Korean Institute of Interior Design Journal
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• v.16 no.2 s.61
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• pp.139-146
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• 2007

This study is tended to analyze the characteristics of the emotional office environment so that digital technologies may adapt to the rapidly progressing social structure in a flexible way, investigate the interior composition of the changing office space and the element and direction of design and then present the indoor environment appropriate to it with the desirable alternative to the emotional office. The recognition of emotionality becomes so important that it is called 'emotional society'. Emotional design, which is mostly concern about user's consensus & experiences and in the space, is appeared on office. Emotional design is understanded from a interactive point of view, human and interior-space. The important factors of this study are light, color, immateriality and fun sensitivity The purpose of this study is to examine the emotional design by analysis of multifarious spaces. Office space Is designed emotional and experienced in the future.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.249-252
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• 2009

본 연구는 화면전환 및 필기 등의 프레젠테이션을 편리하게 제어 할 수 있는 시스템을 구현하고자 한다. 카메라를 이용한 컴퓨터 비전 분야에서 주변의 조명 환경의 영향을 적게 받는 적외선을 이용한 연구가 활발하게 진행되고 있다. 제안하는 방법에서는 USB(Universal Serial Bus) 타입의 카메라를 적외선 환경에 맞게 개조하고, 이를 이용하여 적외선 LED(Light Emitting Diode)를 이용한 전자 분필 영상을 취득하여, 실시간으로 전자 분필의 위치를 검출한다. 검출된 영역은 사전에 사용자가 설정한 '필기 가능 영역'과 변형 함수에 기반하여, 실제 모니터 좌표로 사상되어 화면에 표시되게 된다. 제안하는 시스템은 저렴한 가격의 웹 캠과 적외선 조명 이외에는 별도의 장비가 필요하지 않으면서도, 대형 스크린을 터치 방식으로 활용할 수 있다는 장점을 가진다. 실험 결과, 계산된 모니터 좌표와 사용자가 의도한 위치간의 평균 RMS(Root Mean Square) 오차는 약 15픽셀로 나타나서, 글씨를 필기하고 화면의 특정 부분을 강조하기 위한 활용이 가능함을 확인할 수 있었다.

• Journal of Korea Game Society
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• v.17 no.3
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• pp.45-52
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• 2017

This paper proposes a new strategy of emotion-based music visualization. Emotional LED lighting control system is suggested to help audiences enhance the musical experience. In the system, emotion in music is recognized by a proposed algorithm using a dimensional approach. The algorithm used a method of music emotion variation detection to overcome some weaknesses of Thayer's model in detecting emotion in a one-second music segment. In addition, IRI color model is combined with Thayer's model to determine LED light colors corresponding to 36 different music emotions. They are represented on LED lighting control system through colors and animations. The accuracy of music emotion visualization achieved to over 60%.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.152-157
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• 2008

The human uses the optic plentifully that an emotion the human knowledge. by the light it perceives the object and we live middle of color together. The color is close relation in our life. against a color from in many the optic information it is sensitive and it accepts. Therefore if expresses a emotion with color, human knowledge there is a probably of accepting intuition. The purpose of this dissertation to The emotion expression which uses a hue and the hue which leads the relationship research of emotion. In emotional circle of Plutchik, It selects the emotion where becomes the basic and the hue which similar has an impression and feature from the Harris of Moses Harris it searches emotion to use a hue circle with the method which it makes the emotion it expresses. Examines satisfaction of hue and emotion for emotion expression. The magnetic pole of emotion continuously comes in, There must be it will be able to confirm change of many emotion as a real-time. The shooting game the magnetic pole of multi emotion continuously comes in, Because it will be able to confirm the change of emotion as a real-time, suitable the applies for the research of emotion expression Consequently, The application it tried with character hue of shooting game.

• Journal of Information Technology Services
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• v.16 no.4
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• pp.149-160
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• 2017

Sentiment analysis is the process of determining whether a piece of document, text or conversation is positive, negative, neural or other emotion. Sentiment analysis has been applied for several real-world applications, such as chatbot. In the last five years, the practical use of the chatbot has been prevailing in many field of industry. In the chatbot applications, to recognize the user emotion, sentiment analysis must be performed in advance in order to understand the intent of speakers. The specific emotion is more than describing positive or negative sentences. In light of this context, we propose deep learning models for conducting multi-class sentiment analysis for identifying speaker's emotion which is categorized to be joy, fear, guilt, sad, shame, disgust, and anger. Thus, we develop convolutional neural network (CNN), long short term memory (LSTM), and multi-layer neural network models, as deep neural networks models, for detecting emotion in a sentence. In addition, word embedding process was also applied in our research. In our experiments, we have found that long short term memory (LSTM) model performs best compared to convolutional neural networks and multi-layer neural networks. Moreover, we also show the practical applicability of the deep learning models to the sentiment analysis for chatbot.