• Journal of Korean Medical classics
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• v.22 no.2
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• pp.315-325
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• 2009

Since the days of early Confucianism, the nature(性) and the emotion(情) have been the methodological tool to explain the original nature of the human being, by dividing the human mind into the nature and the emotion. This study examines the interconversion(相成相資) theory of the nature and the emotion mentioned in the "Sadanron(四端論)" chapter of "Dong-uisusebowon." We have contemplated how Gi(氣) of sadness and anger mutually create each other, that of pleasure and enjoyment do as well, transforming sad nature[哀性] of the Taeyang-in(太陽人) into anger emotion, anger nature of the Soyang-in(少陽人) into sad emotion[哀情], pleasure nature[喜性] of the Taeuemin(太陰人) into enjoy emotion[樂情], enjoy nature[樂性] of the Soeumin(少陰人) into pleasure emotion[喜情] considering the circumstances in which the nature changes into the emotion based on the original texts of "Dong-uisusebowon", "Sasang-uihakchobon-gwon(四象醫學草本卷)" and "Gyeokchigo(格致藁)".

• Journal of the Institute of Convergence Signal Processing
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• v.18 no.2
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• pp.49-54
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• 2017

In this paper, we use face database to detect human emotion in real time. Although human emotions are defined globally, real emotional perception comes from the subjective thoughts of the judging person. Therefore, judging human emotions using computer image processing technology requires high technology. In order to recognize the emotion, basically the human face must be detected accurately and the emotion should be recognized based on the detected face. In this paper, based on the Cohn-Kanade Database, one of the face databases, faces are detected by combining the detected faces with the database.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.689-691
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• 2011

Due to the rapid development of Information and communication, the technology of multimedia presentation technology is evolving into the service that user can actively, realistically enjoy and play based on user's preference and taste not only for User's passive service. Especially, the industry related the realistic multimedia service that supports targeting Human emotion with the property of Human hearing is expected to be formed of the high value-added premium market. Audio technology is affected on human's emotion and the viewing environment around than video technology. Also the audio technology compared to video technology is a research part that appeals to human emotion and emphasize on psychological aspects. With this viewpoint, the development of intelligent and realistic audio technology needs highly specialty. In this study, "intelligent real-sound presentation technology" that support high quality and realistic audio and the "core technologies" that are composing of this will be introduced.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.101-106
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• 2005

In this paper, we propose a behavior decision model for a robot, which is based on artificial emotion, various motivations and dynamic personality. Our goal is making a robot which can express its emotion human-like way. To achieve this goal, we applied several emotion and personality theories in psychology. Especially, we introduced the concept of dynamic personality model for a robot. Drawing on this concept, we could make a behavior decision model so that the emotion expression of the robot has adaptability to various environments through interactions between human and the robot.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.138.1-138
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• 2001

Usually, when we take a conversation with another, we can know his emotion as well as his idea. Recently, some applications using speech recognition comes out , however, those can recognize only context of various informations which he(she) gave. In the future, machine familiar to human will be a requirement for more convenient life. Therefore, we need to get emotion features. In this paper, we´ll collect a multiplicity of reference data which represent emotion features from the speech signal. As our final target is to recognize emotion from a stream of speech, as such, we must be able to understand features that represent emotion. There are much emotions human can show. the delicate difference of emotions makes this recognition problem difficult.

• Korean Journal of Child Studies
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• v.26 no.1
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• pp.1-14
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• 2005

The present study aims to examine the relations between emotion regulation, aggression and school adjustment of boys and girls. A total of 321 5th-6th grades students were selected for the study. The data was collected via questionnaires. As results, there were some significant differences between boys and girls in overt aggression and peer adjustment. It was also found that emotion regulation, aggression and school adjustment were significantly correlated. And school adjustment was influenced by emotion regulation as well as overt and relational aggressions. Finally, only for boys, the relations between children's emotion regulation and school adjustment were mediated by their aggression.

• Korean Journal of Human Ecology
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• v.21 no.4
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• pp.705-714
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• 2012

This study investigated the relationships among emotion knowledge, negative emotionality, and autobiographical memory in a sample of 131 three- to five-year-old children attending day care center in seoul. The collected data were analyzed using simple regression and hierarchical multiple regression. The main results of this study were as follows. First, children's emotion knowledge exerted negative effects on their negative emotionality. Second, children's negative emotionality had a positive influence on their autobiographical memory. Finally, the effect of children's emotion knowledge on their autobiographical memory was partially mediated by their negative emotionality. These findings provide a preliminary evidence that children's emotion knowledge and negative emotionality may predict their autobiographical memory.

• Korean Journal of Human Ecology
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• v.23 no.6
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• pp.1141-1154
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• 2014

The purpose of this study examined the moderating effect of maternal emotion-related socialization behaviors on the relations between preschooler's effortful control and prosocial behavior. In this study, subjects were 153 preschoolers and their mothers. The major results were as follows; there was a moderating effect of maternal emotion-related socialization behaviors on the relationship between preschooler's effortful control and prosocial behavior. Specifically, maternal negative emotion expression and response to the preschooler's positive emotion moderated the effect preschooler's effortful control on prosocial behavior. In conclusion, the impact of effortful control on preschooler's prosocial behavior were significant. Also, maternal emotion-related socialization behaviors(i.e., negative emotion expression and response to the child's positive emotion) affected on preschooler's prosocial behavior. The findings of the study will contribute to help maternal emotional interaction with their preschool aged children.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.04a
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• pp.306-311
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• 2000

We, Human beings, use both powers of reason and emotion simultaneously, which surely help us to obtain flexible adaptability against the dynamic environment. We assert that this principle can be applied into the general system. That is, it would be possible to improve the adaptability by covering a digital oriented information processing system with analog oriented emotion layer. In this paper, we proposed a vertical slicing model with an emotion layer in it. And we showed that the emotion-based control allows us to improve the adaptability of a system at least under some conditions.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.7
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• pp.611-614
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• 2001

Voice is one of the most efficient communication media and it includes several kinds of factors about speaker, context emotion and so on. Human emotion is expressed is expressed in the speech, the gesture, the physiological phenomena(the breath, the beating of the pulse, etc). In this paper, the emotion recognition method model using neuro-fuzzy in order to have cognizance of emotion from voice signal is presented and simulated.