• Journal of IKEEE
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• v.24 no.4
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• pp.998-1003
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• 2020

In this paper, an emotion training method using emotional adaptation is proposed to improve the performance of the existing emotion recognition system. For emotion adaptation, an emotion speech model was created from a speech model without emotion using a small number of training emotion voices and emotion adaptation methods. This method showed superior performance even when using a smaller number of emotional voices than the existing method. Since it is not easy to obtain enough emotional voices for training, it is very practical to use a small number of emotional voices in real situations. In the experimental results using a Korean database containing four emotions, the proposed method using emotional adaptation showed better performance than the existing method.

• Korean Journal of Child Studies
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• v.23 no.1
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• pp.37-54
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• 2002

The purpose of study was to examine child emotion regulation as a function of child's sex, temperament, mother's emotion regulation, and mother's parenting. The subjects were 386 mothers of fifth or sixth graders in Seoul and Kyonggi province. The data were gathered through questionnaires developed for the current study. The major findings were as follows: 1) There were significant sex differences in some categories of child's emotion regulation. 2) The more active the child's temperament, the child showed more negative emotion regulation(venting, aggressive expression, avoidance). 3) Mother's negative emotion regulation was significantly related to the child's negative emotion regulation. 4) There were significant correlations between mother's parenting and child's emotion regulation. That is, mother's positive parenting was related to child's positive emotion regulation. 5) The relationship between mother's emotion regulation and child's emotion regulation was mediated by mothers' parenting.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.8 no.2
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• pp.105-110
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• 2008

Human being recognizes emotion fusing information of the other speech signal, expression, gesture and bio-signal. Computer needs technologies that being recognized as human do using combined information. In this paper, we recognized five emotions (normal, happiness, anger, surprise, sadness) through speech signal and facial image, and we propose to method that fusing into emotion for emotion recognition result is applying to multimodal method. Speech signal and facial image does emotion recognition using Principal Component Analysis (PCA) method. And multimodal is fusing into emotion result applying fuzzy membership function. With our experiments, our average emotion recognition rate was 63% by using speech signals, and was 53.4% by using facial images. That is, we know that speech signal offers a better emotion recognition rate than the facial image. We proposed decision fusion method using S-type membership function to heighten the emotion recognition rate. Result of emotion recognition through proposed method, average recognized rate is 70.4%. We could know that decision fusion method offers a better emotion recognition rate than the facial image or speech signal.

• Journal of Korea Society of Digital Industry and Information Management
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• v.4 no.1
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• pp.55-63
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• 2008

I Previous scrolling-shooter games cannot represent various emotions of characters as a personality and situations, so it can only represent simple and momentary emotions. This paper purpose to develop and applying an artificial emotion which gives emotional responses and actions to character as a personality and situations of a character. So we proposed an artificial emotion that receives emotional stimulus, analyzes what emotion will be generated, controls various emotions by a personality and time, and exports a current emotion. To visualize and to test an artificial emotion, We made a scrolling shooter game which has two characters who have a different personality each other. And we applied an artificial emotion to that game, modified it to be able to change status as emotions. To estimate a satisfaction of a artificial emotion for a scrolling-shooter game, we made up a question to two groups-one has people who likes a scrolling shooter game, the other has people who doesn't.

• Journal of Information Technology Applications and Management
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• v.21 no.4
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• pp.35-50
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• 2014

This study examines the relationshipsbetween the antecedents of repurchase intention, with special interest in the role of appraisal emotion and recreation motivation for arts attendance. Appraisal emotion is found to have significant influence on perceived value while recreation motivation is found to directly influence appraisal emotion and perceived value. In a addition to customer satisfaction, peripheral service quality is the only factor that directly affectsrepurchase intention. Arts managers ought to focus on improving the whole experience of performing arts.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.1
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• pp.73-79
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• 2010

Emotion intelligence computing is able to processing of human emotion through it's studying and adaptation. Also, Be able more efficient to interaction of human and computer. As sight and hearing, music & image is constitute of short time and continue for long. Cause to success marketing, understand-translate of humanity emotion. In this paper, Be design of check system that matched music and image by user emotion keyword(irritability, gloom, calmness, joy). Suggested system is definition by 4 stage situations. Then, Using music & image and emotion ontology to retrieval normalized music & image. Also, A sampling of image peculiarity information and similarity measurement is able to get wanted result. At the same time, Matched on one space through pared correspondence analysis and factor analysis for classify image emotion recognition information. Experimentation findings, Suggest system was show 82.4% matching rate about 4 stage emotion condition.

• International Journal of Contents
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• v.9 no.4
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• pp.78-85
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• 2013

Music functions as a catalyst for various emotional experiences. Among the numerous genres of music, film music has been reported to induce strong emotional responses. However, the effectiveness of film music in evoking different types of emotions and its relationship in terms of which musical elements contribute to listeners' perception of intended emotion have been rarely investigated. The purpose of this study was to examine the congruence between the intended emotion and the perceived emotion of listeners in film music listening and to identify musical characteristics of film music that correspond with specific types of emotion. Additionally, the study aimed to investigate possible relationships between participants' identification responses and personal musical experience. A total of 147 college students listened to twelve 15-second music excerpts and identified the perceived emotion during music listening. The results showed a high degree of congruence between the intended emotion in film music and the participants' perceived emotion. Existence of tonality and modality were found to play an important role in listeners' perception of intended emotion. The findings suggest that identification of perceived emotion in film music excerpts was congruent regardless of individual differences. Specific music components that led to high congruence are further discussed.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.4 no.1
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• pp.18-22
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• 2004

It is difficult to understand a person's emotion, since it is subjective and vague. Therefore, we are proposing a method by which will effectively classify human emotions into two types (that is, single emotion and composition emotion). To verify validity of te proposed method, we conducted two experiments based on general inference and $\alpha$-cut, and compared the experimental results. In the first experiment emotions were classified according to fuzzy inference. On the other hand in the second experiment emotions were classified according to $\alpha$-cut. Our experimental results showed that the classification of emotion based on a- cut was more definite that that based on fuzzy inference.

• Korean Journal of Child Studies
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• v.29 no.4
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• pp.1-14
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• 2008

This study examined effects of children's emotionality and emotion regulation, and maternal parenting behaviors on children's peer competence. Subjects were 222 4- and 5-year-olds children and their mothers. Classroom teachers rated each child's peer competence and emotion regulation; mothers responded to questionnaires on their child's emotionality and on their own parenting behavior. Results of this study were : (1) children's positive and negative emotionality and emotion regulation influenced children's peer competence. (2) Mother's warm and encouraging behaviors were also associated with children's peer competence. (3) Children's emotion regulation rather than negative emotion and mother's warm and encouraging behaviors predicted peer competence. Child characteristics were stronger predictors than parenting behaviors.

• Science of Emotion and Sensibility
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• v.20 no.4
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• pp.79-88
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• 2017

As the age in which the importance of sensitivity has increased, education for the future generation regarding emotion engineering, affective recognition and cognitive science have taken center stage. We measure human's emotion quantitatively, analyze evaluation and apply them to various services in life, which are based on human technology. Therefore, we need the education which is related to emotion science to cultivate talented people. The goal of this paper is to suggest the possibility of emotion science education and effective methods through development of the STEAM (Science, Technology, Engineering, Arts, Mathematics) program which can teach emotion science to early elementary school students by applying it to pilot classes. For this study, first, we build a program, 'The mind made by figure' for student of early elementary school. The method of STEAM was used in this program, because it is an effective system to educate the emotion science. We recognize the needs and value of this program development through theory and benchmarking of STEAM related to emotion science. And then the contents of class, activities, course book and kit are designed with elementary school textbook of pertinent grade. Secondly, we analyze the result which is applied in two pilot classes of second grade by satisfaction survey and teacher interview. As a result, the average of satisfaction level was very high (4.40/5), Class participation was especially high. Third, we discuss the ability, value and limits of this program based on the result of analysis. The outcome of this research shows that students of early elementary school who have difficulty in understanding science can approach the education program related to emotion science with ease and interest. We hope this education will help students understand emotion science effectively, and to train people to lead the emotion centered era.