• Title/Summary/Keyword: expression of emotion

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The Primary Study on Chiljung of Inherent Basic Emotion (내재된 기본 감정으로서의 칠정(七情)에 관한 초보적 연구)

  • Jung, Jong-Hyo;Choi, Geum-Ae;Kim, Kyung-Su;Kim, Kyeong-Ok
    • Journal of Oriental Neuropsychiatry
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    • v.20 no.1
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    • pp.107-118
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    • 2009
  • Objectives : One's mind turned over by environment and personal relationship is Emotion. Emotion is composed by several basic feelings. This basic feeling is called Chiljung in Oriental Medicine. This study is confirmed difference of Chiljung by Constitution. Methods : 80 persons of Oriental medicine university students were tested by Qustionnaire for the Sasang Constitution Classification II(QSCCII) and Thematic Apperception Test(TAT). Constitution is distinguished by QSCCII. 11 pieces picture of TAT were showed one minute and then had person to discribe one's feelings. Two data were analyzed by statistical analysis. Results : Result is as follows, tested TAT about expression of inherent basic emotion. 1. It has relations with cognitive thought process 2. Expression of Chiljung has some relations with constitution and personal trait. Conclusion : Chiljung of inherent basic emotion is cognitive and has difference between constitutions by TAT.

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Effects of Mother's Emotional Expressiveness and Reaction to Child Negative Emotions on Child Emotional Intelligence (어머니의 정서표현성과 부정적 정서표현에 대한 반응이 아동의 정서지능에 미치는 영향)

  • Kang, Hyun Jee;Lim, Jungha
    • Human Ecology Research
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    • v.53 no.3
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    • pp.265-277
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    • 2015
  • This study examines child emotional intelligence in relation to mother's emotional expressiveness and reaction to child negative emotions. A sample of 352 children and mothers from 4 elementary schools in Seoul and Gyeonggi participated in the study. Child emotional intelligence and mother's reaction to child negative emotions were evaluated by child-report, and mother's emotional expressiveness was assessed by mother-report. Data were analyzed by descriptive statistics, two-way analysis of variances, Pearson's correlation and multiple regression analyses. The findings were as follows. First, mothers of boys showed more oversensitive-reaction to child negative emotions than mothers of girls. Mothers of 6th-graders showed more emotion-minimizin-greaction to child negative emotions than mothers of 5th-graders. Second, girls showed a higher level of overall emotional intelligence than boys. Girls showed a higher level of emotion expression and emotion regulation than boys. The 5th-graders showed higher level of emotion expression than 6th-graders; however, 6th graders showed a higher level of emotion perception than 5th-graders. Third, more emotion-coaching-reaction and less oversensitive-reaction by mothers predicted a better emotional intelligence of children. A mother's appropriate emotional socialization behaviors associated with child emotional intelligence were discussed.

Emotion Recognition and Expression Method using Bi-Modal Sensor Fusion Algorithm (다중 센서 융합 알고리즘을 이용한 감정인식 및 표현기법)

  • Joo, Jong-Tae;Jang, In-Hun;Yang, Hyun-Chang;Sim, Kwee-Bo
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.8
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    • pp.754-759
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    • 2007
  • In this paper, we proposed the Bi-Modal Sensor Fusion Algorithm which is the emotional recognition method that be able to classify 4 emotions (Happy, Sad, Angry, Surprise) by using facial image and speech signal together. We extract the feature vectors from speech signal using acoustic feature without language feature and classify emotional pattern using Neural-Network. We also make the feature selection of mouth, eyes and eyebrows from facial image. and extracted feature vectors that apply to Principal Component Analysis(PCA) remakes low dimension feature vector. So we proposed method to fused into result value of emotion recognition by using facial image and speech.

Hybrid-Feature Extraction for the Facial Emotion Recognition

  • Byun, Kwang-Sub;Park, Chang-Hyun;Sim, Kwee-Bo;Jeong, In-Cheol;Ham, Ho-Sang
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1281-1285
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    • 2004
  • There are numerous emotions in the human world. Human expresses and recognizes their emotion using various channels. The example is an eye, nose and mouse. Particularly, in the emotion recognition from facial expression they can perform the very flexible and robust emotion recognition because of utilization of various channels. Hybrid-feature extraction algorithm is based on this human process. It uses the geometrical feature extraction and the color distributed histogram. And then, through the independently parallel learning of the neural-network, input emotion is classified. Also, for the natural classification of the emotion, advancing two-dimensional emotion space is introduced and used in this paper. Advancing twodimensional emotion space performs a flexible and smooth classification of emotion.

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Character's facial expression realization program with emotional state dimensions (내적 정서 상태 차원에 근거한 캐릭터 표정생성 프로그램 구현)

  • Ko, Hae-Young;Lee, Jae-Sik;Kim, Jae-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.3
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    • pp.438-444
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    • 2008
  • In this study, we propose a automatic facial expression generation tool which can generate various facial expressions efficiently for animation characters expressing various emotion. For this purpose, 9 types of facial expressions were defined by adopting Russell's pleasure-displeasure and arousal-sleep coordinate values of infernal states. And by rendering specific coordinate values consisted of the two basic dimensions of emotion(i.e., dimensions of pleasure-displeasure and arousal-sleep) and their combination, the proposed automatic facial expression generation tool could yield various facial expressions which reflected subtle changes in characters' emotion. It is expected that the tool could provide useful method of generating character face with various emotion.

Mood Suggestion Framework Using Emotional Relaxation Matching Based on Emotion Meshes

  • Kim, Jong-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.8
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    • pp.37-43
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    • 2018
  • In this paper, we propose a framework that automatically suggests emotion using emotion analysis method based on facial expression change. We use Microsoft's Emotion API to calculate and analyze emotion values in facial expressions to recognize emotions that change over time. In this step, we use standard deviations based on peak analysis to measure and classify emotional changes. The difference between the classified emotion and the normal emotion is calculated, and the difference is used to recognize the emotion abnormality. We match user's emotions to relatively relaxed emotions using histograms and emotional meshes. As a result, we provide relaxed emotions to users through images. The proposed framework helps users to recognize emotional changes easily and to train their emotions through emotional relaxation.

The Effect of Impulsivity and the Ability to Recognize Facial Emotion on the Aggressiveness of Children with Attention-Deficit Hyperactivity Disorder (주의력결핍 과잉행동장애 아동에서 감정인식능력 및 충동성이 공격성에 미치는 영향)

  • Bae, Seung-Min;Shin, Dong-Won;Lee, Soo-Jung
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.20 no.1
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    • pp.17-22
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    • 2009
  • Objectives : A higher level of aggression has been reported for children with attention-deficit/hyperactivity disorder (ADHD) than for non-ADHD children. Aggression was shown to have a negative effect on the social functioning of children with ADHD. The ability to recognize facial emotion expression has also been related to aggression. In this study, we examined whether impulsivity and dysfunctional recognition of facial emotion expression could explain the aggressiveness of children with ADHD. Methods : 67 children with ADHD participated in this study. We measured the ability to recognize facial emotion expression by using the Emotion Recognition Test (ERT) and we measured aggression by the T score of the aggression subscale of the Child Behavior Checklist (CBCL). Impulsivity was measured by the ADHD diagnostic system (ADS). Results : The teacher rated level of aggression was related to the score of recognizing negative affect. After controlling for the effect of impulsivity, this relationship is not significant. Only the score of the visual commission errors ex plained the level of aggression of children with ADHD. Conclusion : Impulsivity seems to have a major role in explaining the aggression of children with ADHD. The clinical implication of this study is that effective intervention for controlling impulsivity may be expected to reduce the aggression of children with ADHD.

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Study on the Relationship Between 12Meridians Flow and Facial Expressions by Emotion (감정에 따른 얼굴 표정변화와 12경락(經絡) 흐름의 상관성 연구)

  • Park, Yu-Jin;Moon, Ju-Ho;Choi, Su-Jin;Shin, Seon-Mi;Kim, Ki-Tae;Ko, Heung
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.26 no.2
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    • pp.253-258
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    • 2012
  • Facial expression was an important communication methods. In oriental medicine, according to the emotion the face has changed shape and difference occurs in physiology and pathology. To verify such a theory, we studied the correlation between emotional facial expressions and meridian and collateral flow. The facial region divided by meridian, outer brow was Gallbladder meridian, inner brow was Bladder meridian, medial canthus was Bladder meridian, lateral canthus was Gallbladder meridian, upper eyelid was Bladder meridian, lower eyelid was Stomach meridian, central cheeks was Stomach meridian, lateral cheeks was Small intestine meridian, upper and lower lips, lip corner, chin were Small and Large intestine meridian. Meridian and collateral associated with happiness was six. This proves happiness is a high importance on facial expression. Meridian and collateral associated with anger was five. Meridian and Collateral associated with fear and sadness was four. This shows fear and sadness are a low importance on facial expression than different emotion. Based on yang meridian which originally descending flow in the body, the ratio of anterograde and retrograde were happiness 3:4, angry 2:5, sadness 5:3, fear 4:1. Based on face of the meridian flow, the ratio of anterograde and retrograde were happiness 5:2, angry 3:4, sadness 3:5, fear 4:1. We found out that practical meridian and collateral flow change by emotion does not correspond to the expected meridian and collateral flow change by emotion.