• Title/Summary/Keyword: Emotional State

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The Study about the Emotional Status of Patients Who want to take Medical Examination on Stroke (중풍(中風)에 대한 健康檢診(건강검진)을 받고자 내원(來院)한 환자(患者)의 정서상태(情緖狀態)에 대한 연구(硏究))

  • Park Se-Jin;Park Sang-Dong;Lee Jeong-A
    • Journal of Oriental Neuropsychiatry
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    • v.12 no.2
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    • pp.123-133
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    • 2001
  • This study was designed and undertaken to identify objectively the degree and relationship of anxiety, depression which are chief essential elements of emotional status in Stroke medical examination patients. The subjects in this study were 58 Stroke medical examination patients and 58 Non-Stroke medical examination patients, and for the assessment of anxiety, depression. We used State-Trait Anxiety Inventory (STAI), Zung's Self-Rating Depression Scale(SDS). The results of this study are as follows : 1. There were significant, differences in the 16 items of State anxiety scale among 20 items and the 14 items of Trait anxiety scale among 20 items between Stroke medical examination patients and the control group(p<0.05 respectively). 2. There were significant differences in the 14 items of SDS among 20 items between Stroke medical examination patients and the control group(p<0.05 respectively). 3. There were significant differences in the mean scores of STAI and SDS between Stroke medical examination patients and the control group(p<0.001 respectively). 4. There were no significant relationships between State anxiety & Trait anxiety, State anxiety & Depression, Trait anxiety & Depression in the Stroke medical examination patients.

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Factors Influencing Closeness in Family with an Elderly Member (노인의 가족화목도와 관련요인)

  • Hong, Se-Young;Nam, Chul-Hyun;Kim, Gi-Yeol;Wee, Kwang-Bok;Shim, Kyu-Bum;Bae, Hyang-Sun;Ko, Jae-Ok
    • Journal of Society of Preventive Korean Medicine
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    • v.12 no.2
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    • pp.85-100
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    • 2008
  • The purpose of this study was to determine factors influencing family closeness in family with an elderly members. The study was conducted with 1,904 subjects during 3 months from 1st March to 30,May. 2006. The results were as follows. 1. Family closeness of subjects was significantly associated with age, sex, marital status, monthly allowance, education level, occupation, the number of family members living together, health state, stress, and emotional conflict with children. 2. Emotional conflict with children was significantly associated with age, sex, religion, the number of family members living together, occupation, health state, stress, family closeness. 3. Stress was significantly associated with age, sex, religion, the number of family members living together, occupation, stress, family closeness. Finaly, Family closeness in family with an elderly member was positively related to family type(living with a spouse), monthly allowance, occupation but negatively related to emotional conflict with children and stress levels. The government, social service units and experts need to pay more attention to factors influencing family closeness and devise effective policy and programs for healthier family relations.

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Maximum Entropy-based Emotion Recognition Model using Individual Average Difference (개인별 평균차를 이용한 최대 엔트로피 기반 감성 인식 모델)

  • Park, So-Young;Kim, Dong-Keun;Whang, Min-Cheol
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.7
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    • pp.1557-1564
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    • 2010
  • In this paper, we propose a maximum entropy-based emotion recognition model using the individual average difference of emotional signal, because an emotional signal pattern depends on each individual. In order to accurately recognize a user's emotion, the proposed model utilizes the difference between the average of the input emotional signals and the average of each emotional state's signals(such as positive emotional signals and negative emotional signals), rather than only the given input signal. With the aim of easily constructing the emotion recognition model without the professional knowledge of the emotion recognition, it utilizes a maximum entropy model, one of the best-performed and well-known machine learning techniques. Considering that it is difficult to obtain enough training data based on the numerical value of emotional signal for machine learning, the proposed model substitutes two simple symbols such as +(positive number)/-(negative number) for every average difference value, and calculates the average of emotional signals per second rather than the total emotion response time(10 seconds).

A Study on Interaction Design of Companion Robots Based on Emotional State (감정 상태에 따른 컴패니언 로봇의 인터랙션 디자인 : 공감 인터랙션을 중심으로)

  • Oh, Ye-Jeon;Shin, Yoon-Soo;Lee, Jee-Hang;Kim, Jin-Woo
    • Journal of Digital Contents Society
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    • v.18 no.7
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    • pp.1293-1301
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    • 2017
  • Recent changes in social structure, such as nuclear family and personalization, are leading to personal and social problems, which may cause various problems due to negative emotional amplification. The absence of a family member who gives a sense of psychological stability in the past can be considered as a representative cause of the emotional difficulties of modern people. This personal and social problem is solved through the empathic interaction of the companion robot communication with users in daily life. In this study, we developed sophisticated empathic interaction design through prototyping of emotional robots. As a result, it was confirmed that the face interaction greatly affects the emotional interaction of the emotional robot and the interaction of the robot improves the emotional sense of the robot. This study has the theoretical and practical significance in that the emotional robot is made more sophisticated interaction and the guideline of the sympathetic interaction design is presented based on the experimental results.

Discrimination of Three Emotions using Parameters of Autonomic Nervous System Response

  • Jang, Eun-Hye;Park, Byoung-Jun;Eum, Yeong-Ji;Kim, Sang-Hyeob;Sohn, Jin-Hun
    • Journal of the Ergonomics Society of Korea
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    • v.30 no.6
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    • pp.705-713
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    • 2011
  • Objective: The aim of this study is to compare results of emotion recognition by several algorithms which classify three different emotional states(happiness, neutral, and surprise) using physiological features. Background: Recent emotion recognition studies have tried to detect human emotion by using physiological signals. It is important for emotion recognition to apply on human-computer interaction system for emotion detection. Method: 217 students participated in this experiment. While three kinds of emotional stimuli were presented to participants, ANS responses(EDA, SKT, ECG, RESP, and PPG) as physiological signals were measured in twice first one for 60 seconds as the baseline and 60 to 90 seconds during emotional states. The obtained signals from the session of the baseline and of the emotional states were equally analyzed for 30 seconds. Participants rated their own feelings to emotional stimuli on emotional assessment scale after presentation of emotional stimuli. The emotion classification was analyzed by Linear Discriminant Analysis(LDA, SPSS 15.0), Support Vector Machine (SVM), and Multilayer perceptron(MLP) using difference value which subtracts baseline from emotional state. Results: The emotional stimuli had 96% validity and 5.8 point efficiency on average. There were significant differences of ANS responses among three emotions by statistical analysis. The result of LDA showed that an accuracy of classification in three different emotions was 83.4%. And an accuracy of three emotions classification by SVM was 75.5% and 55.6% by MLP. Conclusion: This study confirmed that the three emotions can be better classified by LDA using various physiological features than SVM and MLP. Further study may need to get this result to get more stability and reliability, as comparing with the accuracy of emotions classification by using other algorithms. Application: This could help get better chances to recognize various human emotions by using physiological signals as well as be applied on human-computer interaction system for recognizing human emotions.

The effect of emotional state on information search pattern with small-size screen (좁은 화면(small-size screen)을 통한 정보 탐색 패턴에 정서 상태가 마치는 효과)

  • Kim, Hyuk;Han, Kwang-Hee
    • 한국HCI학회:학술대회논문집
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    • 2006.02b
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    • pp.627-632
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    • 2006
  • 최근 들어 인간과 컴퓨터 상호작용 분야에서 기존의 인지적인 측면 이외에 정서의 역할에 대한 관심이 증폭되고 있는 추세이다. 본 연구에서는 사용자가 좁은 화면을 통해 정보검색을 수행 할 때 정서 상태에 따라 정보 검색 패턴이 다른지 알아보고자 하였다. 실험참가자들의 정서 상태를 인위적으로 유도하기 위해 검색과제를 수행하기 전에 긍정적인 정서와 부정적인 정서를 유발시킬 수 있는 음악을 듣게 하였고 동시에 자신의 과거 기역으로부터 긍정적인 정서 혹은 부정적인 정서를 유발 시킬 수 있는 과제를 수행하도록 하였다. 정서 유발 과정이 끝난 뒤 각 실험 참가자들은 좁은 화면을 통해 정보 탐색 과제를 수행하였다. 정보 탐색 과제는 주어진 시간 동안 제시되는 나라들에 대한 여행 정보를 검색하는 것이었고 정보 검색이 이루어지는 동안 소요된 시간 및 검색 페이지 링크가 기록되었다. 실험결과 긍정적인 정서상태에서는 중립 상태와 부정적인 정서 상태에 비해서 보다 광범위하고 빠른 정보검색이 이루어지는 것으로 나타났다.

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Exacerbation of spasticity in ipsilateral shoulder after right brachial plexus block in a patient with right hemiplegia

  • Park, Sang-Jin;Baek, Jong-Yoon
    • Journal of Yeungnam Medical Science
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    • v.32 no.1
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    • pp.22-25
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    • 2015
  • Spasticity is a common impairment in patients with central nervous system disease. Clinical observation has demonstrated that spasticity can be aggravated by various factors such as emotional state as well as noxious stimuli. A 51-year-old male patient was scheduled for arteriovenous fistula surgery. He had right hemiplegia including motor weakness and spasticity. It was decided that the surgery would be performed under an axillary brachial plexus block (BPB). He appeared nervous when blockade was terminated. The spasticity of the right shoulder increased after ipsilateral BPB. However, when we administered sedative drugs and performed interscalene BPB 2 days later, spasticity did not occur. Exacerbation of spasticity might be evoked by an anxious emotional state. Thus, it seems to be good to consider removing of anxiety and using an appropriate approach when it is tried to perform nerve blocks in individuals with spasticity.

Children's Somatic Symptoms and Related Parent and Child Variables (아동의 신체화 증상 경험과 관련 부모 및 아동 변인)

  • Cha, Jee-Ryang;Yoo, Mee-Sook
    • Journal of Families and Better Life
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    • v.28 no.2
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    • pp.193-202
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    • 2010
  • The purpose of this study is to investigate the prevalence of children's somatic symptoms and the relationships among parent and child variables such as parenting attitude, children's anxiety, emotional expressiveness and somatic symptoms. The subjects were 523 6th grade students in four elementary schools located in Seoul, Busan and Daejeon. All subjects were tested with the Korean version of Children's Somatization Inventory (K-CSI), Parental Rearing Attitude Inventory, State-Trait Anxiety for Children (STAIC), and The Emotional Expressiveness Questionnaire. The collected data were analyzed by the frequency and percentage of somatic symptoms the children had experienced during the last 2 weeks; Pearson's correlation and multiple regression were used for the selected data of 10 somatic symptoms which were experienced by over 10% of the children. The results are summarized as follows: First, abdominal pain, headache, dizziness, and memory failure, in that order, were experienced in over 20% of the children. Second, children's somatic symptoms had significant relations with mothers' and fathers' loving-denial attitudes and their anxiety and emotional expressiveness. Third, children's somatic symptoms were influenced by their anxiety and emotional expressiveness, but not by parenting attitude.

Emotion Training: Image Color Transfer with Facial Expression and Emotion Recognition (감정 트레이닝: 얼굴 표정과 감정 인식 분석을 이용한 이미지 색상 변환)

  • Kim, Jong-Hyun
    • Journal of the Korea Computer Graphics Society
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    • v.24 no.4
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    • pp.1-9
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    • 2018
  • We propose an emotional training framework that can determine the initial symptom of schizophrenia by using emotional analysis method through facial expression change. We use Emotion API in Microsoft to obtain facial expressions and emotion values at the present time. We analyzed these values and recognized subtle facial expressions that change with time. The emotion states were classified according to the peak analysis-based variance method in order to measure the emotions appearing in facial expressions according to time. The proposed method analyzes the lack of emotional recognition and expressive ability by using characteristics that are different from the emotional state changes classified according to the six basic emotions proposed by Ekman. As a result, the analyzed values are integrated into the image color transfer framework so that users can easily recognize and train their own emotional changes.

Impact of Emotional Regulation on the Quality of Life in Elderly People (노인의 감정조절이 삶의 질에 미치는 영향)

  • Yun, EunGyeong;Jo, YeunDuk
    • 한국노년학
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    • v.30 no.4
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    • pp.1429-1444
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    • 2010
  • The purpose of this study was to examine the impact of elderly people's difficulties in emotional regulation on their quality of life and to suggest possible ways of improving their emotional regulation. The subjects in this study were 345 senior citizens who participated in community education programs and used senior centers. A survey was conducted in person, and the instrument used to check their difficulties in emotional regulation was Gratz & Roemer(2004)'s inventory that was rearranged to serve the purpose of this study. When a factor analysis was carried out, their emotional regulation difficulties were categorized into five factors, which were respectively named troubles in emotional response handling, difficulties in accurate emotional awareness, difficulties in emotional coping, and difficulties in emotional reception. The findings of the study were as follows: First, the senior citizens were different from one another in emotional regulation difficulties according to their personal characteristics involving gender, income, financial state, hospitalization experience over the past three months, and presence or absence of disease. Second, their quality of life significantly varied with gender, age, presence or absence of spouse, form of residence, education, income, financial state, hospitalization experience and presence or absence of disease. Third, as a result of investigating the influence of their emotional regulation difficulties on the overall quality of life, a better quality of life was found among those who were male and who had an income and suffered from fewer diseases. And a lower quality of life was found among the senior citizens who faced difficulties in emotional response handling, who had difficulties in emotional control and who lagged behind in terms of emotional coping. Accordingly, the emotional regulation difficulties of the senior citizens could be said to be closely linked to their quality of life. Given the findings of the study, in which way elderly people could be helped to improve their emotional regulation in consideration of their own personal characteristics was discussed, and how to classify their emotional regulation difficulties from various angles to relieve them of the troubles was suggested.