• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.4819-4825
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• 2011

This study tried to find out whether character patterns of elderly people are related to stress resistance using brain waves, personal physiological index of cranial nerves. The data were gathered by 1,108 seniors(age 65 and over) who were requested to check brain waves from September, 2007 to December, 2010 in Korean Institute for Research of Psychiatry. 552 of the subject showed the propensity to positive behavior, 556 of them showed the propensity to negative behavior. 735 of the subject showed the propensity to cheerful emotion, 373 of them showed the propensity to depressed emotion. As a result the propensity of emotion was significantly related to the stress resistance, but not the propensity of behavior. In other words, the propensity to cheerful emotion showed higher average stress resistance index than the propensity to depressed emotion. So the person who has the propensity to cheerful emotion can cope with stress better. This study shows the propensity to emotion is related to stress resistance. The influence of the propensity to emotion and how it works should to be studied.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.9
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• pp.763-770
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• 2004

The important issue of emotion recognition from speech is a feature extracting and pattern classification. Features should involve essential information for classifying the emotions. Feature selection is needed to decompose the components of speech and analyze the relation between features and emotions. Specially, a pitch of speech components includes much information for emotion. Accordingly, this paper searches the relation of emotion to features such as the sound loudness, pitch, etc. and classifies the emotions by using the statistic of the collecting data. This paper deals with the method of recognizing emotion from the sound. The most important emotional component of sound is a tone. Also, the inference ability of a brain takes part in the emotion recognition. This paper finds empirically the emotional components from the speech and experiment on the emotion recognition. This paper also proposes the recognition method using these emotional components and the transition probability.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.04a
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• pp.470-473
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• 2004

In this paper, the comparison of speech feature parameters for emotion recognition is studied for emotion recognition using speech signal. For this purpose, a corpus of emotional speech data recorded and classified according to the emotion using the subjective evaluation were used to make statical feature vectors such as average, standard deviation and maximum value of pitch and energy. MFCC parameters and their derivatives with or without cepstral mean subfraction are also used to evaluate the performance of the conventional pattern matching algorithms. Pitch and energy Parameters were used as a Prosodic information and MFCC Parameters were used as phonetic information. In this paper, In the Experiments, the vector quantization based emotion recognition system is used for speaker and context independent emotion recognition. Experimental results showed that vector quantization based emotion recognizer using MFCC parameters showed better performance than that using the Pitch and energy parameters. The vector quantization based emotion recognizer achieved recognition rates of 73.3％ for the speaker and context independent classification.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.05a
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• pp.69-70
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• 2011

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.05a
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• pp.107-108
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• 2011

• Journal of Digital Contents Society
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• v.17 no.6
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• pp.613-621
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• 2016

This paper has the first aim to analyze Elsa's magic power of why and how she, as a heroine in the animation of Frozen, is in the emotion of fear and anger. This paper will explain why these two emotions are twisted compound to identify Elsa's iced emotion in the ice kingdom. And secondly, this paper attempts to connect Elsa's fear emotion in her real life is the other flip with that of anger throughout the characters' network in Frozen, which symbolically reflect the feminine pattern of real society that Walt Disney prospects for the dream society. Through the cognitive process for Elsa's ice kingdom between emotion status and social network, we can assume the pattern of social network with emotional chart and the archetype of human emotion through the cognitive-emotional storytelling on the emotion of Elsa in Frozen.

• Proceedings of the IEEK Conference
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• 2003.07d
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• pp.1243-1246
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• 2003

It is known that structure of Human's brain information system is controlled by cerebral cortex mainly. Cerebral cortex is divided by sensory area, motor area and associated area largely. Sensory area takes part in information from environment and motor area is actuation by decision as associated area determined. It is possible to copy brain information system by input-output pattern. but there is difficulty in modeling of memorizing new information. Such action is performed by Limbic Lobe and Papez circuit which is controlled by intrinsic emotion. So we need of definition of emotion's role in decision. In this paper, we define roles of emotion in intrinsic decision using Dynamic Cognitive Maps(DCMs). The emotion is evaluated by outside information then intrinsic decision performed as how much emotion variated. The dynamic cognitive maps take part in emotion evaluating process.

• Journal of Korea Multimedia Society
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• v.25 no.2
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• pp.215-220
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• 2022

Emotion recognition is one of the most important and challenging areas of computer vision. Nowadays, many studies on emotion recognition were conducted and the performance of models is also improving. but, more research is needed on emotion recognition and sentiment analysis of video viewers. In this paper, we propose an emotion analysis system the includes a sentiment analysis model and an interest prediction model. We analyzed the emotional patterns of people watching popular and unpopular videos and predicted the level of interest using the emotion analysis system. Experimental results showed that certain emotions were strongly related to the popularity of videos and the interest prediction model had high accuracy in predicting the level of interest.

• Fashion & Textile Research Journal
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• v.6 no.3
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• pp.266-274
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• 2004

This study is on the sensitive image of pattern expressed in the color & formative types of traditional Jokakbo(scraps of cloth). The object of this research is Korean traditional scraps of cloth in the latter period of Chosun Dynasty. This study is to be classified into 10 formative types like square type 1, square type 2, diagonal type, diamond type, many color striped type, concentric circle type, pinwheel type, vertical line type, cintamani pattern type, and free style type to apply the design of Jokakbo to Korean design. And color group is divided into vivid tone and pale tone. And it constitutes 17 patterns from the combination of these two types. As for the factors of constitution of scraps of cloth, it consists of factors like revelation, attraction, temperature sense, abstract, and rigidity. In the emotional image in the patterns, both vivid tone and pale tone showed dynamic and warm emotion together. Also, the factors of revelation and attraction were evaluated as opposite images, and it evaluated the plain and dim emotion as more attractive emotion. They preferred the pale tone to the vivid tone. They preferred the cintamani pattern in the vivid tone, and the diamond pattern in the pale tone most. From the research result above, this study made the abstract image of scraps of cloth standardized and prepared for a basis to execute it essentially. This research will be used as basic data to make traditional Korean image spotlighted in the world fashion markets as well as it will be helpful to the development of pattern design for the scraps of cloth essentially.

• 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.