• 제목/요약/키워드: Human emotion

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BCI에서 EEG 기반 효율적인 감정 분류를 위한 LSTM 하이퍼파라미터 최적화 (LSTM Hyperparameter Optimization for an EEG-Based Efficient Emotion Classification in BCI)

  • ;;임창균
    • 한국전자통신학회논문지
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    • 제14권6호
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    • pp.1171-1180
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    • 2019
  • 감정은 인간의 상호 작용에서 중요한 역할을 하는 심리 생리학적 과정이다. 감성 컴퓨팅은 감정을 이해하고 조절할 수 있는 인간 인지 인공 지능의 개발하는데 중점을 둔다. 우울증, 자폐증, 주의력 결핍 과잉 행동 장애 및 게임 중독과 같은 정신 질환이 감정과 관련되어 있기 때문에 이러한 분야의 연구가 중요하다. 감정 인식에 대한 노력에도 불구하고, 비정상적인 EEG 신호로부터의 감정 검출은 여전히 높은 수준의 추상화를 요구하기에 정교한 학습 알고리즘이 필요하다. 이 논문에서는 EEG 기반으로 효율적인 감정 분류를 위해 LSTM을 위한 최적의 하이퍼파라미터를 파악하고자 다양한 실험을 수행하여 이를 분석한 결과를 제시하였다.

아동의 또래친밀도에 따른 정서조절전략과 사회적능력 (Children's Social Competence and Emotion Regulation Strategy according to Peer Friendliness)

  • 송지혜;황혜신
    • 한국생활과학회지
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    • 제18권1호
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    • pp.29-39
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    • 2009
  • The purpose of this study is to investigate children's emotional regulation and social competence in relation with peer friendliness. Specifically, it examined the hypotheses that children's emotion regulation strategies would be different depending on age, gender, and peer friendliness, and that children's emotion regulation strategies would affect their social competences. The subjects were 197 of the second, fourth, and sixth graders in an elementary school located in Gangdong-gu, Seoul. The findings are as follows: first, children's emotion regulation strategies are different according to gender and age. Girls use more 'external response strategy' than boys do. Elder children use more 'internal response strategy' than younger children, and younger children use more 'problem solving strategy' than elder children. Second, children's emotion regulation strategies are different depending on the degree of peer friendliness. Children employ more 'problem solving' and 'internal response' strategies to close friends rather than to just friends. Children used more the strategies as 'request for social support', 'evasion', and 'external response' to just friends rather than to close friends. Finally, children's social competencies are influenced by the strategies of 'problem solving' and 'evasion'.

아동의 스트레스 대처전략과 정서조절 능력 및 행동문제: 저소득층 아동과 일반아동 비교 (Relationships Among Stress Coping Strategies, Emotion Regulation Ability, and Behavior Problems in Children from Low-income and Middle-income Families)

  • 김병옥;이진숙
    • 한국생활과학회지
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    • 제17권6호
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    • pp.1051-1063
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    • 2008
  • This study was to investigate the relationships between stress coping strategies, emotion regulation ability and behavior problems with children from low-income families and middle-income families. Subjects were 171 children from low-income families and 228 children from middle-income families, 4th - 6th grade in elementary school. The major findings are followings: (1) The level of emotion regulation ability in children from low-income families was lower and active stress coping strategies were less than children from middle-income families. In the behavior problem, children from low-income families were higher than children from middle-income families. (2) The stress coping strategies(active/ social support) in children from low-income families were related with internal behavior problem(anxiety /withdrawal). And the emotion regulation ability was related to the children's behavior problem. (3) Regression analysis model showed that emotion-regulation ability was the most influential factor to the children's behavior problem, and children from low-income families with aggressive coping strategy showed hyperactive behavior problem. So, the education/therapy programs for children from low-income families have to be developed and practiced in schools, local children centers and so on.

부모양육태도와 자아존중감 및 또래애착이 정서문제에 미치는 영향 (The Effect of Parenting Attitude, Self-esteem and Peer Attachment on Emotion Problem)

  • 고미숙
    • 한국생활과학회지
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    • 제24권6호
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    • pp.783-793
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    • 2015
  • The purpose of this study was to investigate the effect of Parenting Attitude, Self-esteem, and Peer Attachment on Emotion Problem. The study is based on data from first wave of 'Korean Child Youth Panel Survey 2010(KCYPS)' and the subjects of this survey were 2,098 1st grade junior middle school students. To measure the variables, this study used such scales as the parenting attitude scale, self-esteem scale, and peer attachment scale and emotional problem scale. The data were analyzed using descriptive statistics, Pearson's correlation and structural equation modeling analysis. Results of structural equation modeling with data indicated that hypothesized structural equation model produced a good fit but, no direct effect between negative parenting attitude and peer attachment. The self-esteem have mediating effect between parenting attitude and peer attachment, emotion problem. The peer attachment have mediating effect between positive parenting attitude and emotion problem but, did not have mediating effect between negative parenting attitude and emotion problem. The implications for counseling and suggestions for future research are discussed.

균형 잡힌 데이터 증강 기반 영상 감정 분류에 관한 연구 (A Study on Visual Emotion Classification using Balanced Data Augmentation)

  • 정치윤;김무섭
    • 한국멀티미디어학회논문지
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    • 제24권7호
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    • pp.880-889
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    • 2021
  • In everyday life, recognizing people's emotions from their frames is essential and is a popular research domain in the area of computer vision. Visual emotion has a severe class imbalance in which most of the data are distributed in specific categories. The existing methods do not consider class imbalance and used accuracy as the performance metric, which is not suitable for evaluating the performance of the imbalanced dataset. Therefore, we proposed a method for recognizing visual emotion using balanced data augmentation to address the class imbalance. The proposed method generates a balanced dataset by adopting the random over-sampling and image transformation methods. Also, the proposed method uses the Focal loss as a loss function, which can mitigate the class imbalance by down weighting the well-classified samples. EfficientNet, which is the state-of-the-art method for image classification is used to recognize visual emotion. We compare the performance of the proposed method with that of conventional methods by using a public dataset. The experimental results show that the proposed method increases the F1 score by 40% compared with the method without data augmentation, mitigating class imbalance without loss of classification accuracy.

아동이 지각한 어머니의 양육행동과 아동의 자아존중감 및 정서조절방략이 정서조절능력에 미치는 영향 (Effects of Maternal Parenting, Self-Esteem and Emotion Regulation Strategy on Emotion Regulation of Children)

  • 조수현;이경님
    • 대한가정학회지
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    • 제48권5호
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    • pp.61-72
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    • 2010
  • This study examined the effects of maternal parenting, children's self-esteem and emotion regulation strategy on emotion regulation. Data were collected from 493 5th and 6th graders. The results were as follows: Firstly, maternal authoritarian and permissive parenting directly affected children's maladaptive emotion regulation, while maternal affectionate and permissive parenting directly affected children's adaptive emotion regulation. Secondly, children's selfesteem directly affected both their maladaptive and adaptive emotion regulation, while also acting as a mediator between maternal parenting and children's maladaptive and adaptive emotion regulation. Children's cognitive reappraiser strategy positively affected adaptive emotion regulation, but emotion suppressive strategy negatively affected adaptive emotion regulation. These emotion regulation strategies played a mediating role between maternal parenting or children's self-esteem and adaptive emotion regulation.

정서의 심리적 모델: 개별 정서 모델, 평가 모델, 차원 모델을 중심으로 (Review on Discrete, Appraisal, and Dimensional Models of Emotion)

  • 손진훈
    • 대한인간공학회지
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    • 제30권1호
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    • pp.179-186
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    • 2011
  • Objective: This study is to review three representative psychological perspectives that explain scientific construct of emotion, that are the discrete emotion model, appraisal model, and dimensional model. Background: To develop emotion sensitive interface is the fusion area of emotion and scientific technology, it is necessary to have a balanced mixture of both the scientific theory of emotion and practical engineering technology. Extensional theories of the emotional structure can provide engineers with relevant knowledge in functional application of the systems. Method: To achieve this purpose, firstly, literature review on the basic emotion model and the circuit model of discrete emotion model as well as representative theories was done. Secondly, review on the classical and modern theories of the appraisal model emphasizing cognitive appraisal in emotion provoking events was conducted. Lastly, a review on dimensional theories describing emotion by dimensions and representative theories was conducted. Results: The paper compared the three models based on the prime points of the each model. In addition, this paper also made a comment on a need for a comprehensive model an alternative to each model, which is componential model by Scherer(2001) describing numerous emotional aspects. Conclusion: However, this review suggests a need for an evolved comprehensive model taking consideration of social context effect and discrete neural circuit while pinpointing the limitation of componential model. Application: Insight obtained by extensive scientific research in human emotion can be valuable in development of emotion sensitive interface and emotion recognition technology.

EEG characteristics of auditory comfort sensibility

  • Whang, Min Cheol;Cho, Hee Kwan;Kim, Chul Jung
    • 대한인간공학회지
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    • 제15권2호
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    • pp.185-192
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    • 1996
  • EEG(electroencephalogram) is characterized with auditory emotion in this study. Twenty university students participated in this study. The auditory stimulus was the natural sounds such as creek sound, clash, machining noise, and etc. They can cause the positive and negative emotion. EEG characteristics according to positive and negative auditory stimuli is tried to observe statistic difference. The significant difference is shown depending on the localized area. The auditory paraameters of EEG variation is examined for defining human emotion qualitatively. The results shows that the alpha and the beta at temproal area may be thd determinat of human auditory emotion.

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A Study on Sensibility Measurement Method

  • Kwon, Kyu-Sik;Kim, Sun-Woong
    • 한국감성과학회:학술대회논문집
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    • 한국감성과학회 2000년도 춘계 학술대회 및 국제 감성공학 심포지움 논문집 Proceeding of the 2000 Spring Conference of KOSES and International Sensibility Ergonomics Symposium
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    • pp.426-430
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    • 2000
  • This study is about the human sensibility measurement method. Researches on human sensibility measurement have been performed in many aspects. However, due to the subtlety and intricacy of human sensibility, it has been difficult to exactly measure human sensibility.At present, Semantic Differential(SD) method is most widely used to quantify human sensibility. In SD method, complicate human sensibility is represented on a scale with equal interval or equal ratio. However, this method has a critical problem in that human sensibility cannot be expressed with equal interval or equal ratio.In order to complement SD method and represent human sensibilities appropriately, we proposed an alternative method using the chroma-scale with saturation that had not equal interval or ratio. In experiment, proposed method shown that subjects understood a new scale easily and they could express their sensibilities on a new scale without any limitation. As a result, the chroma-scale can be used not only for measuring consumer's preference but also for evaluating or selecting sensibility words.

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인간의 언어와 얼굴 표정에 통하여 자동적으로 감정 인식 시스템 새로운 접근법 (Automatic Human Emotion Recognition from Speech and Face Display - A New Approach)

  • 딩�E령;이영구;이승룡
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2011년도 한국컴퓨터종합학술대회논문집 Vol.38 No.1(B)
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    • pp.231-234
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    • 2011
  • Audiovisual-based human emotion recognition can be considered a good approach for multimodal humancomputer interaction. However, the optimal multimodal information fusion remains challenges. In order to overcome the limitations and bring robustness to the interface, we propose a framework of automatic human emotion recognition system from speech and face display. In this paper, we develop a new approach for fusing information in model-level based on the relationship between speech and face expression to detect automatic temporal segments and perform multimodal information fusion.