• Science of Emotion and Sensibility
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• v.15 no.1
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• pp.97-104
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• 2012

Recently, a big text data has been produced by users, an opinion mining to analyze information and opinion about users is becoming a hot issue. Of the opinion mining, especially a sentiment analysis is a study for analysing emotions such as a positive, negative, happiness, sadness, and so on analysing personal opinions or emotions for commercial products, social issues and opinions of politician. To analyze the sentiment analysis, previous studies used a mapping method setting up a distribution of emotions using two dimensions composed of a valence and arousal. But previous studies set up a distribution of emotions arbitrarily. In order to solve the problem, we composed a distribution of 12 emotions through carrying out a survey using Korean emotion words list. Also, certain emotional states on two dimension overlapping multiple emotions, we proposed a selection method with Roulette wheel method using a selection probability. The proposed method shows to classify a text into emotion extracting emotion terms from a text.

• Science of Emotion and Sensibility
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• v.19 no.3
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• pp.89-102
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• 2016

This research was performed to confirm the four emotional eating types and examine the differences in BMI, ego resilience, and the level of college adaptation among those types. The total of 485 Korean college students (male 249, female 236) participated in this study. The main results were as follows, First, the emotional eating types were divided into four types based on positive emotional eating and negative emotional eating, and the type of more - eating with positive emotion and less? eating with negative emotion was the largest one among all the types. Second, there were no significant distinctions on frequency between emotional eating types and BMI. Third, individuals with less - eating for both positive and negative emotions showed the highest ego resilience level, whereas those with more - eating for both positive and negative emotions showed the lowest. Fourth, individuals with less - eating for both positive and negative emotions showed the highest score in the level of adaptation in college whereas those with more - eating for negative emotion and less - eating for positive emotion showed the lowest. Limitations of the present study and suggestions for future research were discussed.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.4
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• pp.512-517
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• 2011

In this paper, we propose an Active Shape Model (ASM) and Lucas-Kanade (LK) optical flow-based feature extraction and analysis method for analyzing the emotional features from facial images. Considering the facial emotion feature regions are described by Facial Action Coding System, we construct the feature-related shape models based on the combination of landmarks and extract the LK optical flow vectors at each landmarks based on the centre pixels of motion vector window. The facial emotion features are modelled by the combination of the optical flow vectors and the emotional states of facial image can be estimated by the probabilistic estimation technique, such as Bayesian classifier. Also, we extract the optimal emotional features that are considered the high correlation between feature points and emotional states by using common spatial pattern (CSP) analysis in order to improvise the operational efficiency and accuracy of emotional feature extraction process.

• Journal of Korea Multimedia Society
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• v.12 no.8
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• pp.1155-1163
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• 2009

This paper proposes an automatic facial expression generation system of vector graphic character using gaussian process model. Proposed method extracts the main feature vectors from twenty-six facial data of character redefined based on Russell's internal emotion state. Also by using new gaussian process model, SGPLVM, we find low-dimensional feature data from extracted high-dimensional feature vectors, and learn probability distribution function (PDF). All parameters of PDF are estimated by maximization the likelihood of learned expression data, and these are used to select wanted facial expressions on two-dimensional space in real time. As a result of simulation, we confirm that proposed facial expression generation tool is working in the small facial expression datasets and can generate various facial expressions without prior knowledge about relation between facial expression and emotion.

• 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.

• 한국정보교육학회:학술대회논문집
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• 2007.01a
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• pp.365-372
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• 2007

뇌파는 대뇌피질에 분포하는 신경세포의 활동을 객관적으로 명확하게 표현해주기 때문에 학습자의 두뇌기능을 과학적으로 평가해준다. 따라서 학습에 의한 직접적인 효과를 알아보기 위해서는 두뇌사고활동을 수행하는 과정에서 학습자의 두뇌기능 상태에 대한 객관적인 검증이 필요하다. 또한 학습자의 학습과정에서의 활성뇌파를 분석 해봄으로써 학습에 영향을 미치는 뇌파가 무엇인지를 파악할 수 있다. 본 연구는 학습 및 학습에 영향을 미치는 정서와 관련된 뇌파연구를 고찰함으로써 영재아의 학습효과를 높이기 위한 뇌파 분석 및 조절 프로그램을 개발하는데 시사점을 찾아보고자 한다.

• Korean Journal of Psychosomatic Medicine
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• v.7 no.1
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• pp.103-115
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• 1999

Objectives : A large of studies have found an association between premenstrual syndrome and affective disorder, in particular, depression. Some studies have reported that women with depressive disorders may experience menstrual cycle-associated changes in the severity of their symptoms. This study was designed to compare the characteristics of premenstrual changes between control group and affective patient group, and to assess possible risk factors for premenstrual changes in patients. Methods : Eighty normal controls and eighty outpatients given maintenance therapy with fixed dose for at least more than four weeks were asked to complete questionnaires on menstrual history, obstetric-gynecological history, and functional impairment. In addition, to compare the characteristics of premenstrual changes, 16 items based on DSM-IV criteria A for premenstrual dysphoric disorder were rated on the following scale : 0(no change), 1(mild), 2(moderate), 3(severe). Moderate or severe change in each item was considered as premenstrual change and the subjects who reported more than one premenstrual change were defined as premenstrual change group. Results : The results were as follows : 1) The percentage of premenstrual change group was 32.6% in patient group and 50% in control group. 2) Frequently reported premenstrual changes were as follows in control group : breast tenderness; anger ; affective liability ; lethargy, easy fatigability, or marked lack of energy ; abdominal pain or discomfort. In patients, the mood or behavioral changes were frequently reported. The changes were as follows : lethargy, easy fatigability, or marked lack of energy ; change in appetite; affective liability ; sense of difficulty in concentrating : hypersomnia or insomnia. 3) In the premenstrual change group, the patients with only mood or behavioral changes were significantly more than those with only physical changes or both changes. 4) The severity of functional impairment was significantly correlated with the frequency of mood or behavioral changes in patients. 5) There were no significant differences in menstrual characteristics between patients with premenstrual changes and patients without them except the severity of dysmenorrhea. And the severity of dysmenorrhea was correlated with the frequency of premenstrual change. Conclusion : The proportion of patients with affective disorder, who reported moderate-to-severe premenstrual changes, experiencing mood or behavioral changes larger than those experiencing physical changes during premenstrual period. It is possible that some patients with affective disorder, who reported premenstrual mood or behavioral changes, suffer from coexisting premenstrual syndrome with affective disorder or premenstrual exacerbation of affective disorder. Since the more premenstrual changes, the severer functional impairment, the patients reporting mood or behavioral disturbance in premenstrual period should be carefully evaluated, and appropriate therapeutic stategies might be considered.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.6
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• pp.2072-2077
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• 2010

This study is focused on the effects of elder's blood type on determining awareness and emotional character of the elderly, by comparing each individual's brain wave. Observed records are from thoes elder's who volunteered for KRIJUS( Korea Research Institute of Jungshin Science)'s brain wave measurement from September 2008 to June 2009. The whole 762 elder group consists of 311 female and 451 male. Blood types are A>B>O>AB dominately ordered. The result shown no relations between the blood types and their emotional character among elderly female, while elderly men shown meaningful difference; type B and O had higher rate on negative aspects. When it comes to awareness categories, both emotional(p=.001) and active(right)(p=.040) index shown meaningful differences. Type A had highest rate on emotional index and AB had it on active index. This study revealed meaningful relation between blood types and emotional character among several categories, while suggesting follow-up researches figuring out more detailed explanations for its effect and genetic role.

• Proceedings of the KAIS Fall Conference
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• 2009.12a
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• pp.550-553
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• 2009

이 연구는 노인들의 혈액형이 인지 기능및 행동성향과 상관 관계가 있는지를 개인이 지닌 뇌신경 생리학적 지표인 뇌파 측정을 이용하여 비교 하여보았다.. 대상자는 2008년 9월에서 2009년6월까지 한국정신과학연구소에 뇌파측정 의뢰한 노인(60세 이상)을 기준으로 선정한 자료이다. 노인 여자 311명 노인 남자명451명 총762 명이다. 노인 혈액형 분포는 A형이 남 289명(64%), 여 111명(36%), B형이 남 78명 (17%), 여 64명(20%), O형이 남 57명(13%), 여 100명(32%), AB형이 남 27영(6%), 여 36명(12%)로 A>B>O>AB형 순이었다. 분석 결과 노인들의 혈액형과 행동성향과 상관관계에서 여자노인에서는 무관하였고 남자노인에서는 유의미한 차이가 있었다. B형과 O형의 남자노인에서 부정성향이 높다고 본다. 인지기능과의 상관관계에서는 정서지수(p=.001)와 활성지수(우)(p=.040)에서 유의미한 차이를 보였다.. 정서지수에서는 A형이 가장 높았고 활성지수에서는 AB형이 가장 높았다. 이 연구 결과 몇 개의 범주에서 혈액형과 의의있는 상관 관계를 보여 주었으며 미치는 영향이나 유전적인 역할이 어떻게 영향을 주는지의 작용기전을 규명하는 연구가 필요하다고 사료된다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1998.11a
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• pp.59-64
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• 1998

정상 성인의 경우, 감성 개념의 내적 차원 구조는 쾌/불쾌 차원과 각성 차원이라는 2차원 구조에 원형의 체계적인 분포를 보이는 것으로 알려져 왔다. 본 연구에서는 이와 같은 2차원 구조가 얼마나 보편적이고 일관된 양상으로 나타나고 있는지를 살펴보고자 하였다 이를 위해 연구1에서는 아동 및 청소년에게 15개의 정서 관련 어휘로 이루어진 10i개의 단어 쌍에 대한 7점 척도의 유사성 평정을 시행하였으며, 연구 2에서는 정신분열증 환자에게 통일한 절차를 시행하였다 다차원 분석 결과, 1차원(초등5년:74%, 중등2 년:72%, 정신분열증 환자: 60%)과 2차원(초등5년: 18%, 중등2년16%, 정신분열증 환자: 11%)이 도출되었다 정상 성인의 경우와 마찬가지로 1차원은 쾌/불쾌 차원, 2차원은 각성 차원으로 해석될 수 있었다. 따라서, 감성 개념의 구조에 있어서 쾌/불쾌 및 각성은 인지적 성숙의 단계나 인지, 정서적 손상에 관계 없이 매우 일관되게 나타나는 비교적 안정적인 차원 구조인 것으로 생각된다. 다만, 발달 단계나 병리적 속성에 따라 각 차원의 비중치는 다소 차이를 보이는데, 아동 및 청소년의 경우, 주로 쾌/불쾌 차원을 통해 감성을 개념화 하는 특징을 보이며, 정신분열증 환자 집단의 경우, 1,2차원 모두 상대적으로 설명량이 낮은 것으로 나타나는데, 의 경우, 비중치가 더욱 낮은 것으로 나타났다. 이러한 결과를 통해 내적 차원 구조의 타당성 및 제한점에 관해 논의하였다.