• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.179-184
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• 2005

Recently, studying on modeling the emotion of a robot has become issued among fields of a humanoid robot and an interaction of human and robot. Especially, modeling of the motivation, the emotion, the behavior, and so on, in the robot, is hard and need to make efforts to use our originality. In this paper, new modeling using mathematical formulations to represent the emotion and the behavior selection is proposed for the software robot with virtual sensor modules. Various Points which affect six emotional states such as happy or sad are formulated as simple exponential equations with various parameters. There are several experiments with seven external sensor inputs from virtual environment and human to evaluate this modeling.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.1
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• pp.37-42
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• 2006

Recently, studying on modeling the emotion of a robot has become issued among fields of a humanoid robot and an interaction of human and robot. Especially, modeling of the motivation, the emotion, the behavior. and so on, in the robot, is hard and need to make efforts to use ow originality. In this paper, new modeling using mathematical formulations to represent the emotion and the behavior selection is proposed for the software robot with virtual sensor modules. Various points which affect six emotional states such as happy or sad are formulated as simple exponential equations with various parameters. There are several experiments with seven external sensor inputs from virtual environment and human to evaluate this modeling.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.40-48
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• 2023

Speech Emotions recognition has become the active research theme in speech processing and in applications based on human-machine interaction. In this work, our system is a two-stage approach, namely feature extraction and classification engine. Firstly, two sets of feature are investigated which are: the first one is extracting only 13 Mel-frequency Cepstral Coefficient (MFCC) from emotional speech samples and the second one is applying features fusions between the three features: Zero Crossing Rate (ZCR), Teager Energy Operator (TEO), and Harmonic to Noise Rate (HNR) and MFCC features. Secondly, we use two types of classification techniques which are: the Support Vector Machines (SVM) and the k-Nearest Neighbor (k-NN) to show the performance between them. Besides that, we investigate the importance of the recent advances in machine learning including the deep kernel learning. A large set of experiments are conducted on Surrey Audio-Visual Expressed Emotion (SAVEE) dataset for seven emotions. The results of our experiments showed given good accuracy compared with the previous studies.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.15 no.2
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• pp.169-174
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• 2011

Objectives: Seven Emotions consist of Joy(喜), Anger(怒), Anxiety(憂), Thought(思), Sorrow(悲), Fear(恐), Fright(驚). If Seven Emotions are excessive, their extreme mental stimulations cause physical illness. The aim of the research is to make a proposal on the concept of Seven Emotions by a statistical comparison between guibi-tang questionnaire and health related questionnaires. Methods: We studied the similarities among three factors of guibi-tang questionnaire and three health related questionnaires(subjective symptoms of fatigue test, beck depression inventory, state-trait anxiety inventory, etc.) using multidimensional scaling. Results and Conclusions: 1. Physical-Emotion Dimension and Chronic-Acute Dimension were labelled in two-dimensional solution. 2. Seven Emotions and Fatigue have a high correlation. 3. Seven Emotions and Trait-Anxiety have a high correlation.

• Journal of Oriental Neuropsychiatry
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• v.26 no.2
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• pp.191-200
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• 2015

Objectives: We performed this study to certify the objectivity and significance of the Core Assessment Instrument Based on Chiljeong as a diagnostic measure in insomnia patients. Methods: We collected self-report questionnaires from inpatient and outpatient targets that had symptoms of insomnia. Descriptive statistics, Independent t-test, One-way repeated measure ANOVA and Pearson Correlation analysis were used for data analysis. Results: Bi and Kyeong emotion scores were higher but the Hui emotion score was lower for insomnia patients. Regarding the relationship between ISI score and the Core Assessment Instrument Based on Chiljeong, the more severe the insomnia, the higher the Sa and Kyeong emotion scores were, whereas the Hui emotion score was lower. Patients that were male, married, old, and had higher education showed a stronger correlation between Gyeong and ISI scores. Conclusions: Using the Core Assessment Instrument Based on Chiljeong for insomnia is thought to be helpful in both the diagnostic and clinical aspects of insomnia.

• Journal of Oriental Neuropsychiatry
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• v.29 no.1
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• pp.21-34
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• 2018

Objectives: The purpose of this study is to understand the theories about the psychophysiology and psychopathology of Korean Medicine. Methods: The concepts and functions of spirit (神), soul (魂魄), five spirits (五神), and seven emotions (七情) occurring in the Huangdineijing have been interpreted, and the correlation between thought and emotion considered. Results and Conclusions: (1) Spirit (神) refers to the source and discipline of vital activity and mental activity. (2) With soul (魂魄), ethereal soul (魂) manifests itself as the mental process, and corporeal soul (魄) as the physical sensory interaction, such as the nervous system. (3) In the five spirits, ethereal soul (魂) is the recognition process of drawing out memories. Spirit (神) is the process of creative thought. Cognition (意) is the ability to recognize and integrate information. Corporeal soul (魄) is the process of selecting what is important and choosing it. Will (志) is the process of storing memories. Ethereal soul (魂) and corporeal soul (魄) of the five spirits (五神) and soul (魂魄) use the same characters, but the meaning differs. Also, spirit (神) and the spirit (神) in five spirits (五神) are the same character, but, because the meaning is different, they need to be interpreted according to the context. (4) Heart (心), Cognition (意), Will (志), Thought (思), Consideration (慮), and Wisdom(智) are all cognitive processes, like perception, recognition, and thinking. (5) Psychopathology is when excessive emotion affects the five viscera, harming the Energy (氣) and Blood (血) and eventually affecting the five spirits, which causes problems in thinking. Therefore, for healthy mental functioning, not only must the emotions be regulated so that they do not become excessive, but the five viscera also need to be kept healthy.

• Journal of Haehwa Medicine
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• v.9 no.1
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• pp.267-285
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• 2000

According to the literatural study on the causes of Infertility in women, the results were as follows. 1. The causes of Infertility in women were arranged scholarly thoery during to Jin-Yuan era (金 元 時代) from Huang-Di-Nei-Jing(黃帝內經), and literatures after Ming-Qing era(明 淸 時代) divided and added one's own thoery since they choose preceding thoery. 2. In the Modern Medicine, the causes of Infertility in women are divided the product obstruction of Oocyte, the union obstruction of sperm and oocyte by abnormality of vagina, cervix, corpus, fallopian tubes, pelvic, and peritoneum, Endocrine factor, Immunologic factor, and Emotion factor. 3. In the Oriental Medicine, the causes of Infertility in women are attached importance to functional side as 'asthenia-cool of uterus'(子宮虛寒), 'deficiency of vital energy and blood'(氣血虛), 'deficiency of yin'(陰虛), 'impairement of seven emotion'(七情傷), 'disease of extra mierdians'(寄經病), and so forth; while on the other in the Modern Medicine, the causes of Infertility in women are attached importance to organic side as abnormality of uterus and ovary. 4. In the successive literatures, 'asthenia-cool of uterus'(子宮虛寒) occupied most frequency in the causes of Infertility in women and in the next obesity(體肥), 'deficiency of vital energy and blood'(氣血虛), menstrual irregularity(月經不調), deficiency of yin'(陰虛), 'impairement of seven emotion'(七情傷), emaciation(體瘦), 'disease of extra mierdians'(寄經病), and so forth occupied much frequency. 5. In the bodily form, obesity(體肥) and emaciation(體瘦) occupied comparatively more frequency.

• Journal of The Korean Association For Science Education
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• v.33 no.7
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• pp.1367-1384
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• 2013

The purpose of this study was to develop a Science Academic Emotion Scale for Elementary Students. To make a scale, authors extract a core of 14 emotions related to science learning situations from Kim & Kim (2013) and literature review. Items on the scale consisted of 14 emotions and science learning situations. The first preliminary scale had 174 items on it. The number of 174 items was reduced and elaborated on by three science educators. Authors verified the scale using exploratory factor analysis, confirmatory factor analysis, inter-item consistency and concurrent validity. The second preliminary scale consisted of 141 items. The preliminary scale was reduced to seven factors and 56 items by applying exploratory factor analysis twice. The seven factors include: enjoyment contentment interest, boredom, shame, discontent, anger, anxiety, and laziness. The 56 items were elaborated on by five science educators. The scale with 56 items was fixed with seven factors and 35 items to get the final scale by applying confirmatory factor analysis twice. Except for Chi-square and GFI (Goodness of Fit Index), other various goodness of fit characteristics of the seven factors and 35 items model showed good estimated figures. The Cronbach of the scale was 0.85. The Cronbach of seven factors are 0.95 in enjoyment contentment interest, 0.81 in boredom, 0.87 in shame, 0.82 in discontent, 0.87 in anger, 0.77 in anxiety, 0.81 in laziness. The correlation coefficient was 0.59 in enjoyment contentment interest, 0.54 in anxiety, 0.42 in shame, and 0.28 in boredom, which were estimated using the Science Academic Emotion Scale and National Assessment System of Science-Related Affective Domain (Kim et al., 1998). Based on the results, authors judged that the Science Academic Emotion Scale for Elementary Students achieved an acceptable validity and reliability.

• Science of Emotion and Sensibility
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• v.10 no.1
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• pp.113-125
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• 2007

The aim of the experimental studies described in this paper is to investigate the effects of the face/eye/mouth areas using dynamic facial expressions and static facial expressions on emotional recognition. Using seven-seconds-displays, experiment 1 for basic emotions and experiment 2 for complex emotions are executed. The results of two experiments supported that the effects of dynamic facial expressions are higher than static one on emotional recognition and indicated the higher emotional recognition effects of eye area on dynamic images than mouth area. These results suggest that dynamic properties should be considered in emotional study with facial expressions for not only basic emotions but also complex emotions. However, we should consider the properties of emotion because each emotion did not show the effects of dynamic image equally. Furthermore, this study let us know which facial area shows emotional states more correctly is according to the feature emotion.

• Journal of Oriental Neuropsychiatry
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• v.34 no.3
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• pp.307-317
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• 2023

Objectives: To introduce the progress of treatment and improve clinical use after application of Emotion-to-Emotion Therapy (ETE Therapy) for treating Post-traumatic Stress Disorder (PTSD). Methods: A patient who was diagnosed with PTSD that occurred after violence in the family mainly complained about abdominal pain, depression, and fear. We treated the patient with ETE therapy as the main treatment. Subjective Units of Distress scale (SUDs), The Core Seven-Emotions Inventory Short Form (CSEI-s), and Mentalizing the Rooms of Mind (MRM) were evaluated before and after the treatment for assessing the clinical effect. Results: After treatment, overall clinical symptoms of the patient were alleviated. This result was supported by a decrease in SUDs. There were meaningful drops in 'Fear', 'Fright', 'Sorrow' in CSEI-s scores, consistent with the direction of 'Sa-seung-Gong (思勝恐)' used as major technique of ETE therapy. Resources and positive emotions in MRM were increased after treatment. Conclusions: ETE therapy may be effective for treating PTSD. It might play a significant role in cognitive reconstruction.