• Journal of Families and Better Life
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• v.32 no.3
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• pp.137-146
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• 2014

The aims of this study were to investigate the relationships among mothers' emotion expression, preschool children's temperament, and preschool children's emotion regulation. The participants in this study were 75 5-year-old children from five child-care centers located in Seoul. The collected data were analyzed using simple regression and hierarchical multiple regression. The major findings were as follows. First, mothers' positive emotion expression had a positive influence on children's effortful control, and mothers' negative emotion expression had a positive influence on children's negative affect. Second, mothers' positive emotion expression had a positive influence on children's emotion regulation, while mothers' negative emotion expression had a negative influence on children's emotion regulation. Last, the effect of mothers' positive emotion expression on children's emotion regulation was fully mediated by children's effortful control. Also, the effect of mothers' negative emotion expression on children's emotion regulation was partially mediated by children's negative affect. These results suggest that mothers' emotion expression and children's temperament may predict children's emotion regulation.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.1
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• pp.18-23
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• 2005

It is difficult to define and classify human emotion. These vague human emotion appear not in single emotion, but in combination of various emotion. And among them, a remarkable emotion is expressed. This paper proposes a emotional expression algorithm using dynamic emotion space, which give facial expression in similar with vague human emotion. While existing avatar express several predefined emotions from database, our emotion expression system can give unlimited various facial expression by expressing emotion based on dynamically changed emotion space. In order to see whether our system practically give complex and various human expression, we perform real implementation and experiment and verify the efficacy of emotional expression system based on dynamic emotion space.

• Korean Journal of Human Ecology
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• v.18 no.6
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• pp.1209-1219
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• 2009

The purpose of this study examined the path model of maternal emotional expression, temperament and self-esteem on emotion regulation among children. The subjects were 487 5th and 6th graders. Data was gathered through questionnaires reported by children and their mothers and analyzed by structural equation modeling. The results showed that children's 'activity level' temperament and maternal negative emotional expression directly affected maladaptive emotion regulation. Children's 'emotionality' temperament and maternal positive emotional expression directly affected adaptive emotion regulation. Children's 'approach-flexibility' temperament and self-esteem directly affected both maladaptive and adaptive emotion regulation. Maternal emotional expression and children's self-esteem mediated between children's temperament and emotion regulation. Additionally, the most important variable predicting children's maladaptive emotion regulation was the children's 'activity level' temperament, and the most important variable for adaptive emotion regulation was the children's 'emotionality' temperament.

• Journal of the Korean Home Economics Association
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• v.39 no.3
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• pp.67-81
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• 2001

The purpose of this investigation was to examine whether early child-care experience, alone or in combination with mother/child factors, was associated with emotion regulation. Participants were forty 12-18 month-old infants, their mothers and their caregivers. Infants were observed in the Strange Situation to assess the pattern of emotion regulation. Mothers were interviewed, given Questionnaires, and observed in play. Caregivers were observed in child care to assess the caregiving environment. There were significant main effects of good quality child care on open emotion expression and heightening emotion expression. Significant interaction effects revealed that infants were more likely to be open emotion expression when high maternal sensitivity /responsiveness was combined with good quality child care, or nonmaterial care initiated prior to six month of age. Infants were more likely to be minimizing emotion expression when low maternal sensitivity/responsiveness was combined with nonmaternal care initiated after six month of age, or more than one care arrangement. Difficult temperament infants received nonrelative care were somewhat more likely to be minimizing emotion expression. Infants were more Likely to be heightening emotion expression when high maternal sensitivity/responsiveness was combined with relative care. Boys experiencing nonrelative care were more Likely to be heightening emotion expression.

• Journal of the Semiconductor & Display Technology
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• v.12 no.3
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• pp.53-57
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• 2013

Human emotions are expressed in various ways. It can be expressed through language, facial expression and gestures. In particular, the facial expression contains many information about human emotion. These vague human emotion appear not in single emotion, but in combination of various emotion. This paper proposes a emotional expression algorithm using Active Appearance Model(AAM) and Fuzz k- Nearest Neighbor which give facial expression in similar with vague human emotion. Applying Mahalanobis distance on the center class, determine inclusion level between center class and each class. Also following inclusion level, appear intensity of emotion. Our emotion recognition system can recognize a complex emotion using Fuzzy k-NN classifier.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.7-12
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• 2008

In human and robot interaction, the role of emotion becomes more important Therefore, robots need the emotion expression mechanism similar to human. In this paper, we suggest a new emotion expression system based on the psychological studies and it consists of five affective elements, i.e., the emotion, the mood, the personality, the tendency, and the machine rhythm. Each element has somewhat peculiar influence on the emotion expression pattern change according to their characteristics. As a result, although robots were exposed to the same external stimuli, each robot can show a different emotion expression pattern. The proposed system may contribute to make a rather natural and human-friendly human-robot interaction and to promote more intimate relationships between people and robots.

• Korean Journal of Child Studies
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• v.38 no.2
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• pp.51-66
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• 2017

Objective: This study aimed to examine the dual mediating effects of preschoolers' emotional temperament and emotion regulation in the relationship between maternal emotional expression and preschoolers' behavior problems. Methods: The participants included 167 preschoolers and their mothers from Daegu city and Gyeonsang province. The mothers completed questionnaires regarding their own emotional expression, children's temperament, emotion regulation, and behavior problems. Results: The primary results of this study were as follows. First, there were significant correlations among maternal emotional expression, preschoolers' emotional temperament, emotion regulation, and problem behaviors. Second, maternal emotional expression had an indirect effect on preschoolers' behavior problems through preschoolers' emotional temperament and emotion regulation. Conclusion: This study revealed that maternal negative emotional expression and preschoolers' temperament and emotion regulation need to be considered simultaneously to explain the level of preschoolers' behavior problems. More specifically, the results highlight the dual mediating effects of preschoolers' temperament and emotion regulation in the relationship between maternal negative emotional expression and preschoolers' behavior problems.

• Journal of the Semiconductor & Display Technology
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• v.16 no.4
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• pp.79-85
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• 2017

Understanding of human emotion has a high importance in interaction between human and machine communications systems. The most expressive and valuable way to extract and recognize the human's emotion is by facial expression analysis. This paper presents and implements an automatic extraction and recognition scheme of facial expression and emotion through still image. This method has three main steps to recognize the facial emotion: (1) Detection of facial areas with skin-color method and feature maps, (2) Creation of the Bezier curve on eyemap and mouthmap, and (3) Classification and distinguish the emotion of characteristic with Hausdorff distance. To estimate the performance of the implemented system, we evaluate a success-ratio with emotional face image database, which is commonly used in the field of facial analysis. The experimental result shows average 76.1% of success to classify and distinguish the facial expression and emotion.

• Journal of the Ergonomics Society of Korea
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• v.31 no.3
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• pp.427-435
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• 2012

The aim of this study is to investigate facial temperature changes induced by facial expression and emotional state in order to recognize a persons emotion using facial thermal images. Background: Facial thermal images have two advantages compared to visual images. Firstly, facial temperature measured by thermal camera does not depend on skin color, darkness, and lighting condition. Secondly, facial thermal images are changed not only by facial expression but also emotional state. To our knowledge, there is no study to concurrently investigate these two sources of facial temperature changes. Method: 231 students participated in the experiment. Four kinds of stimuli inducing anger, fear, boredom, and neutral were presented to participants and the facial temperatures were measured by an infrared camera. Each stimulus consisted of baseline and emotion period. Baseline period lasted during 1min and emotion period 1~3min. In the data analysis, the temperature differences between the baseline and emotion state were analyzed. Eyes, mouth, and glabella were selected for facial expression features, and forehead, nose, cheeks were selected for emotional state features. Results: The temperatures of eyes, mouth, glanella, forehead, and nose area were significantly decreased during the emotional experience and the changes were significantly different by the kind of emotion. The result of linear discriminant analysis for emotion recognition showed that the correct classification percentage in four emotions was 62.7% when using both facial expression features and emotional state features. The accuracy was slightly but significantly decreased at 56.7% when using only facial expression features, and the accuracy was 40.2% when using only emotional state features. Conclusion: Facial expression features are essential in emotion recognition, but emotion state features are also important to classify the emotion. Application: The results of this study can be applied to human-computer interaction system in the work places or the automobiles.

• Korean Journal of Child Studies
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• v.33 no.2
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• pp.55-68
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• 2012

The goals of this study were to examine how children's recognition of various emotions, emotion expression, and social interactions among their peers differed according to their attachment styles. A total of 65 three to five years old children completed both attachment story-stem doll plays and a standard emotion recognition task. Trained observers documented children's valence of emotion expression and social interactions among their peers in the classroom. Consistent with attachment theory, children who were categorized as secure in the doll play were more likely to express positive emotions than children who were categorized as avoidant in the doll play. Children who were categorized as avoidant in the doll play were more likely to express neutral emotions among their peers than children who were categorized as secure and anxious in the doll play. The findings of this study contribute to the general attachment literature by documenting how attachment security plays a crucial role in having positive emotions in ordinary situations. It does so by also demonstrating how different attachment styles are associated with children's qualitatively different patterns of emotion processing, especially in terms of their expression of emotions.