• Journal of Korea Society of Industrial Information Systems
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• v.20 no.2
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• pp.57-63
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• 2015

Compared to other emotion recognition technology, facial expression recognition technology has the merit of non-contact, non-enforceable and convenience. In order to apply to a psychological robot, vision technology must be able to quickly and accurately extract the face region in the previous step of facial expression recognition. In this paper, we remove the background from any image using the YCbCr skin color technology, and use Haar-like Feature technology for robust face detection. We got the result of improved processing speed and robust face detection by removing the background from the input image.

• Fashion & Textile Research Journal
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• v.15 no.4
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• pp.642-648
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• 2013

This study investigates the changes inconsumer sensibility and product preferences according to theirecofriendly productperceptions. Stimulants (released by three companies of sport casual brands)include three shirts made of recycled polyester and three made of organic cotton. A surveymethod was used to respond to the emotion and image while watching the presented pictures of the clothes. The change in the reactions was analyzed before and after the presentation of eco-friendliness information. The questionnaire consists of sensibility adjectives, open-ended questions about the associated image of eco-friendliness, color attractiveness, product favorability, price satisfaction, and reasons for an eco-friendly productpurchase. The survey was conducted on 200adult male and female participants. Two factors ('eco' and 'design')were identifiedthrough the factor analysis of image adjectives. There was a statistically significant increase in the evaluation of sensibility, color attractiveness, product favorability, and price satisfactiondue to the re-evaluation of the same products after consumers recognized the eco-friendly information of apparel products. When consumers recognize products aseco-friendly, they evaluate the products more positively than before. The result of the analysis of the increases by textile materials shows no significant difference in the sensibility changes depending on the materials. However, with regard to 'eco', the increase of sensibility change for organic cotton products was larger than for recycled polyester products.

• Korean Institute of Interior Design Journal
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• v.14 no.3 s.50
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• pp.199-207
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• 2005

We recognize analysing and quantifying an effect of light and colors on people' psychological response changing according to environmental conditions as important. Therefore, this study intends to improve efficiency in realizing emotional design that contributes to creation of helpful and pleasant interior using architecture that is able to refresh human emotion or light and colors which are important factors in interior design. For the purpose, this study analyses an effect of colors in interior space and the effect of interaction between light and color through modeling to identify types of psychological response. And it is to present a generalized conclusion through an analysis of meaning of the two effects. The ultimate goal of this study is to identify the value and possibility of actual design. This study measures response on questionnaire through representative vocabulary by abstracting based on evaluation image selected through the 1st and 2nd preparatory research and grouping similar words. In next step, images represented both by light and colors are presented as virtual space and for data input and analysis based on psychological response corresponding to each image, this study uses SPSS 11.0 statistical package program to analyse data collected. The space to be experimented is a livingroom, a center of residential area.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.12 no.1
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• pp.356-368
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• 1999

The gu-chang is oriental medical disease name. This study has been carried out to investigate pathogenic factor, pathogenesis, treatment method and medicine of the gu chang by referring to literatures. The results were obtained as follows; 1. Pathogenic factors are pungent taste, stir frying, rich and fatty diet, alchol, disorder of emotion, exogenous pathogen, excessive fatigue and indulgence in sexual activities. 2. Pathogenesis of the gu chang is that the fire heat go up to the mouse. 3. The symptoms are divided into two syndrome. one is sthenia syndrome(實證) - red color and swelling, unendurable pain, strong pulse(脈實), the other is asthenia syndrome(虛症) - pink color, a slight pain, relapse, loose stool, feeble pulse(脈虛). 4. The treatment method is divided into two parts. one is a sthenic syndrome (實證) - clearing strong heat (淸實熱), the other is a asthenic syndrome(虛症) - nourishing yin(滋陰) and clearing deficient heat (淸虛熱), reinforcing the spleen and strengthening middle - JIAO(健脾 補中). 5. The prescription were liang ge san(凉膈散), Ij jhong tang(理中湯) ,xie xim tang(瀉心湯), bu ja li jhong tang, (附子理中湯),liuwei wan(六味元), ba wei wan(八味元), zhuye shigao tang(竹葉石膏湯), si wu tang(四物湯), bu zhong yi gi tang(補中益氣湯) etc.

• Korea Science and Art Forum
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• v.37 no.3
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• pp.125-134
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• 2019

This study was conducted to organize a program to classify and analyze the characteristics of images for the automation of background music selection in the video content production process. The results and contents of the study are as follows: video characteristics are selected as subject category, emotion, pixel motion speed, color, and character material. Subject categories and feelings were extracted using Microsoft's Azure Video Indexer, Pixel Movement Speed was an Optional flow, Color was an Image Histogram for Image, and character materials was CNN(Convolutional Neural Network). The results of this study are significant in that video analysis was conducted to match background music in the recent content production process of 'Internet One-person Broadcasting Creators'.

• Journal of KIISE:Computing Practices and Letters
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• v.10 no.6
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• pp.514-528
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• 2004

An emotion-based video scene retrieval algorithm is proposed in this paper. First, abrupt/gradual shot boundaries are detected in the video clip representing a specific story Then, five video features such as 'average color histogram' 'average brightness', 'average edge histogram', 'average shot duration', and 'gradual change rate' are extracted from each of the videos and mapping between these features and the emotional space that user has in mind is achieved by an interactive genetic algorithm. Once the proposed algorithm has selected videos that contain the corresponding emotion from initial population of videos, feature vectors from the selected videos are regarded as chromosomes and a genetic crossover is applied over them. Next, new chromosomes after crossover and feature vectors in the database videos are compared based on the similarity function to obtain the most similar videos as solutions of the next generation. By iterating above procedures, new population of videos that user has in mind are retrieved. In order to show the validity of the proposed method, six example categories such as 'action', 'excitement', 'suspense', 'quietness', 'relaxation', 'happiness' are used as emotions for experiments. Over 300 commercial videos, retrieval results show 70% effectiveness in average.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.1145-1149
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• 2009

In the 1960s, light art using neon or fluorescent lamp, etc and 'light and space art' appeared with kinetic art. Light art that is an extension of kinetic art tends to be digitalized art and focus on movement, while light and space art emphasizes psychological side and focuses more on phenomenal experience than movement itself. Light art generally tends to offer visual play, but light and space art offers not only visual play but also deep impression on audience's mind. In this paper, LED control method using sound and how color change influences people's mind are studied based on my works try to supplement shortcoming of light art. The main goal of my work is to make more effective and empathic interaction between audience and light in order to avoid cold and mechanical impressions that light art has. Based on its contents, this study seeks method to stimulate people's emotion, and suggests applying mentality on the color and sound interaction together to media art. In conclusion, it is believed that new model of media art is suggested through this study.

• The Research Journal of the Costume Culture
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• v.23 no.5
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• pp.807-821
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• 2015

The purpose of this study is to develop a design as a high value-added exportable industrial product by developing a cultural product, that can be accepted as having universal beauty by people in the Western cultural area. This is done by, re-analyzing it from a modern perspective after applying the color representation, used in pop art, to Shin Saimdang's Chochungdo (草蟲圖, insects on flowers) which clearly expresses Korea's national emotion and aesthetic consciousness. The research method depends upon developing cultural products such as scarfs, neckties, handkerchiefs, and folding fans, which are communicated in the global market The expressive technique of pop art is utilized after reconstructing the color sensation of pop art in the aesthetic dimension of the natural, physical, and formative beauty of Chochungdo based on the whole understanding of our country's genre of Chochungdo and Western pop art. With regard to the colors in the developed design, the basic colors were extracted and applied by selecting 10 pieces in the flower series, which were made with the silkscreen printmaking technique in the 1970s by Andy Warhol, a master in pop art. A work that integrates pop art, a global art trend, with Korean traditional culture is expected to highlight Korean traditional culture in the global cultural era.

• International Journal of Advanced Culture Technology
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• v.4 no.4
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• pp.6-12
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• 2016

Due to the development of technology, the modern people became to require not only more convenient life but also more comfortable and emotional environment, and individually suitable living environment is applied to residents in a residential space. Recently, while the LED lighting was variously attempted in every sector in society, it is needed to express differentiated lighting according to the resident's individual lifestyle in a residential space. In this paper, we analyze the role of LED lighting suitable for the digitalized lifestyle of the modern people through the relevant literature survey and case studies. The following results are obtained in summary of the rapidly changed recent trends of LED lighting. First, LED light replace existing light sources due to the advanced new technology in LED industry, and take the spotlight as a new lighting solution with the development of variable color LED bulb and the control technology by the wired and wireless communications. Second, LED lighting can be structurally applicable to every lighting device because of its compact and lightweight units, can produce abundant light environment by expression of variable colors and moods with the easy coloring and dimming control, can be reborn as emotional lighting design. Third, as recently practices are constantly appeared that integrate LED lights in the interior elements, such as object and furniture, and combine advanced LED lighting technology to new materials, the portion of illumination on the indoor environment is further increased after integrating the LED lighting and interior elements make boundaries of lighting and product architecture become blurred. LED lighting is confirmed that is being changed from the external functionality including material, shape, color, and etc. into the contextual emotion design including the lights expression, variable color, brightness control, making image, and etc. as the light source in current smart lighting era.

• Journal of Institute of Control, Robotics and Systems
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• v.22 no.3
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• pp.241-246
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• 2016

Nowadays many people have an interest in facial expression and the behavior of people. These are human-robot interaction (HRI) researchers utilize digital image processing, pattern recognition and machine learning for their studies. Facial feature point detector algorithms are very important for face recognition, gaze tracking, expression, and emotion recognition. In this paper, a cascade facial feature point detector is used for finding facial feature points such as the eyes, nose and mouth. However, the detector has difficulty extracting the feature points from several images, because images have different conditions such as size, color, brightness, etc. Therefore, in this paper, we propose an algorithm using a modified cascade facial feature point detector using a convolutional neural network. The structure of the convolution neural network is based on LeNet-5 of Yann LeCun. For input data of the convolutional neural network, outputs from a cascade facial feature point detector that have color and gray images were used. The images were resized to $32{\times}32$. In addition, the gray images were made into the YUV format. The gray and color images are the basis for the convolution neural network. Then, we classified about 1,200 testing images that show subjects. This research found that the proposed method is more accurate than a cascade facial feature point detector, because the algorithm provides modified results from the cascade facial feature point detector.