• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.1937-1943
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• 2005

The technology of emotion recognition is a crucial factor in day of ubiquitous that it provides various intelligent services for human. This paper intends to make the system which recognizes the human emotions based on 2-dimensional model with two bio signals, GSR and HRV. Since it is too difficult to make model the human's bio system analytically, as a statistical method, Hidden Markov Model(HMM) is used, which uses the transition probability among various states and measurable observation variance. As a result of experiments for each emotion, we can get average recognition rates of 64% for first HMM results and 55% for second HMM results

• Journal of the Ergonomics Society of Korea
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• v.22 no.3
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• pp.1-11
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• 2003

The objective of this research is the development of the Automatic Subjective Assessment System (ASAS). The proposed subjective assessment system is designed to evaluate human emotion and sensibility (or "gamsung" in Korean terminology) with subjective responses of volunteers about the experiment of emotion and sensibility. Once volunteers enter their subjective responses about the experiment into the developed system, the proposed system can automatically generate statistical results of human emotion and sensibility using Statistical Package for the Social Sciences (SPSS). Then, the system stores the statistical results in the database which will be open to public through internet. The proposed system will be integrated into the universal" gamsung" assessment system for evaluation of human emotion and sensibility.

• Proceedings of the KSME Conference
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• 2003.04a
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• pp.935-939
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• 2003

The emotion recognition is one of the most significant interface technologies which make the high level of human-machine communication possible. The central nervous system stimulated by emotional stimuli affects the autonomous nervous system like a heart, blood vessel, endocrine organs, and so on. Therefore bio-signals like HRV, ECG and EEG can reflect one' emotional state. This study investigates the correlation between emotional states and bio-signals to realize the emotion recognition. This study also covers classification of human emotional states, selection of the effective bio-signal and signal processing. The experimental results presented in this paper show possibility of the emotion recognition.

• The Journal of the Korea Contents Association
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• v.7 no.5
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• pp.63-71
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• 2007

From several commercialized games the technique of changing facial expressions is imported, and a design method of a game character for the player's empathy is expected to be diversified in the future. In this paper, as a design method of a game character for the player's empathy, this makes walking motion for the game character applied with 'human-emotion' factors as statistics variation of a game character in RPG genre. After this paper implements analyzed emotions of human facial expression and walking motions applied with emotion in examples of character animation theory, this paper divides walking motion applied with human-emotion factors into 8 types through relationship to statistics factors in RPG genre. And then these are applied to a knight character, which has the most similarity with human's physical feature of the game characters in RPG genre, and makes walking motion as variable statistics. As a game player controls the game character applied with 'human-emotion' factors, the effect of the player's empathy about the game character becomes higher, and the level of immersion in game play is also expected to increase.

• 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.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.05a
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• pp.33-34
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• 2011

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2012.05a
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• pp.1-2
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• 2012

• Science of Emotion and Sensibility
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• v.17 no.1
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• pp.53-62
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• 2014

Despite the huge potential of the practical application of emotion recognition technologies, the enhancement of the technologies still remains a challenge mainly due to the difficulty of recognizing emotion. Although not perfect, human emotions can be recognized through human images and sounds. Emotion recognition technologies have been researched by extensive studies that include image-based recognition studies, sound-based studies, and both image and sound-based studies. Studies on emotion recognition through facial expression detection are especially effective as emotions are primarily expressed in human face. However, differences in user environment and their familiarity with the technologies may cause significant disparities and errors. In order to enhance the accuracy of real-time emotion recognition, it is crucial to note a mechanism of understanding and analyzing users' personality traits that contribute to the improvement of emotion recognition. This study focuses on analyzing users' personality traits and its application in the emotion recognition system to reduce errors in emotion recognition through facial expression detection and improve the accuracy of the results. In particular, the study offers a practical solution to users with subtle facial expressions or low degree of emotion expression by providing an enhanced emotion recognition function.

• The Research Journal of the Costume Culture
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• v.22 no.1
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• pp.73-85
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• 2014

The purpose of the study was to investigate whether customer perception on internet fashion shopping mall characteristics influences positive emotion on internet shopping and relationship formation. For data collection, a questionnaire was administrated from February 20th to March 3th in 2012 to 362 adults who have purchased the products from internet fashion shopping mall. The analysis explores the effect of internet shopping mall characteristics on positive shopping emotion and relationship quality. It also tests the mediation effect of positive shopping emotion for the influence of internet fashion shopping mall characteristics on relationship quality. The results are as follows. First, the perceived internet fashion shopping mall characteristics had positive effects on relationship quality. Second, the perceived internet fashion shopping mall characteristics had positively effects on positive shopping emotion. Third, the effect of positive shopping emotion had positive effects on relationship quality. Fourth, the effect of perceived internet fashion shopping mall characteristics on relationship quality, mediated by positive shopping emotion, was shown to be none.

• Korean Journal of Human Ecology
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• v.23 no.2
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• pp.193-204
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• 2014

The aims of this study were to examine whether the preschool children's temperament predicted their emotion regulation in different situations. The participants in this study were 148 3-and 5-year-old children recruited from five child-care centers located in a middle-income region of Seoul. Statistical methods used for the data analysis were the frequencies, means, standard deviations, Pearson correlation, multiple regression. The major findings were as follows. The children's temperament contributed to individual differences in emotion regulation. The 3-year-olds' negative affectivity and surgency significantly predicted their mothers' ratings of the children's emotion regulation in everyday situations. The 5-year-olds' effortful control significantly predicted their teachers' ratings of the children's emotion regulation in everyday situations. In addition, the 5-year-olds' negative affectivity, effortful control, and surgency predicted the mothers' ratings of their children's emotion regulation. These results suggest that children's temperament are contributors to the development of their emotion regulation.