• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2005년도 추계학술대회 학술발표 논문집 제15권 제2호
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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.

• 한국지능시스템학회논문지
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• 제16권1호
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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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• 제23권8호
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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.

• 대한한의진단학회지
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• 제15권2호
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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.

• 동의신경정신과학회지
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• 제26권2호
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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.

• 동의신경정신과학회지
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• 제29권1호
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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.

• 혜화의학회지
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• 제9권1호
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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.

• 한국과학교육학회지
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• 제33권7호
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• pp.1367-1384
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• 2013

이 연구의 목적은 과학 학습 상황에서의 초등학생 정서 특징을 살펴볼 수 있는 검사 도구를 개발하는 것이다. 우선 예비 검사 도구개발은 기존에 연구된 과학 학습정서 분석 내용(김동현, 김효남, 2013)을 이용하였으며 타당화 과정인 요인분석, 구조방정식 모형 검증, 과학 정의적 특성과의 상관관계 분석과 신뢰도 분석을 거쳐 본 검사 도구를 완성하였다. 최초 174개의 예비검사도구 문항은 전문가 내용 타당도 검증을 거쳐 141개로 수정되었으며, 141개 문항을 초등학교 6학년 765명에 투입 후 탐색적 요인분석을 실시한 결과 즐거움소(搔)망료흥미(16), 지루함(9), 부끄러움(8), 불만(8), 분노(6), 불안(5), 귀찮음(4)의 7개 정서 56문항으로 축소되었다. 56문항에 대한 전문가 내용 타당도 검증 후 모형의 부합도 검증을 위해 1,071명 대상 자료로 확인적 요인분석을 실시한 한 결과 최종 모형 수정으로 7개 정서 35문항으로 축소되었다. 이 7개 정서 35문항 모형은 부합도 검증에서 모델 ${\chi}^2$ 통계량과 기초부합지수(GFI)를 제외하고 개략화오차평균제곱(RMSEA), 표준잔차공분산지수(SRMR), Terker-Lewis 부합도(TLI), 비교부합지수(CFI)에서 모두 적합 수준으로 나타났다. 최종 모형의 신뢰도는 각 요인별 Cronbach ${\alpha}$ 계수에서 즐거움 만족 흥미 0.946, 지루함 0.813, 부끄러움 0.867, 불만 0.819, 분노 0.871, 불안 0.772, 귀찮음 0.809로 모두 0.7 이상이었다. 또한 과학 정의적 특성 검사와의 상관분석에서 유의미한 정적 상관이 검증되었다. 타당성을 검증 받은 본 검사 도구를 이용하여 과학 학습상황에서의 학습자 정서와 관련된 수업 전략 수립에 도움을 줄 수 있을 것으로 판단되며 나아가 조금이나마 우리나라 학생들의 과학 정의적 수준 향상에 기여하기를 기대해 본다.

• 감성과학
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• 제10권1호
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• pp.113-125
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• 2007

본 연구에서는 동영상 자극과 정지 영상 자극을 사용하여 얼굴 표정의 영역(얼굴 전체/눈 영역/입 영역)에 따른 정서 상태 전달 효과를 알아보고자 하였다. 동영상 자극은 7초 동안 제시되었으며, 실험 1에서는 12개의 기본 정서에 대한 얼굴 표정 제시 유형과 제시 영역에 따른 정서 인식 효과를, 실험 2에서는 12개의 복합 정서에 대한 얼굴 표정 제시 유형과 제시 영역에 따른 정서 인식 효과를 살펴보았다. 실험 결과, 동영상 조건이 정지 영상 조건보다 더 높은 정서 인식 효과를 보였으며, 입 영역과 비교하였을 때 동영상에서의 눈 영역이 정지 영상 보다 더 큰 효과를 보여 눈의 움직임이 정서 인식에 중요할 것임을 시사하였다. 이는 기본 정서 뿐 아니라 복합 정서에서도 어느 정도 관찰될 수 있는 결과였다. 그럼에도 불구하고 정서의 종류에 따라 동영상의 효과가 달라질 수 있기 때문에 개별 정서별 분석이 필요하며, 또한, 얼굴의 특정 영역에 따라서도 상대적으로 잘 나타나는 정서 특성이 다를 수 있음을 사사해 준다.

• 동의신경정신과학회지
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• 제34권3호
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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.