• Title/Summary/Keyword: expression of emotions

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Suggestion of Emotional Expression with Human Character in 3D Animation using Layering Method (레이어링을 사용한 3D 애니메이션 인간형 캐릭터의 감정 표현 방법 제안)

  • Kim, Joo-Chan;Suk, Hae-Jung
    • The Journal of the Korea Contents Association
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    • v.15 no.5
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    • pp.1-17
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    • 2015
  • In domestic game market, the video game market is getting smaller and also decreasing funds and high level developers. So we need the software that can help us to make more realistic and high quality contents by non-expert developer in poor environments. In this paper, we selected global studio's animations which were scored good evaluation by public and critics as a well-made emotional expression that can convey the emotion properly. We selected movements that express emotions from the animation scripts by using Ekman's 6 basic emotions and Greimas' dynamic predicate, and then we had analyzed and categorized with the data. We also analyzed the movements for which data we needed to create specific movements to express emotions by using 'Animation Layer' that used in Unity's blending process. And suggest concept of the program that to create the emotional expression movements by using those analyzed data.

Personality-Culture Interaction as a Predictor of Emotion Suppression on Facebook

  • Kim, Jinhee;Stavrositu, Carmen D.
    • Science of Emotion and Sensibility
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    • v.24 no.4
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    • pp.91-106
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    • 2021
  • Although personality and culture have been employed as independent predictors of emotion regulation, less is known about the interplay between them. Thus, the present study tests their interaction by focusing on the match between personality (public self-consciousness) and culture (valuing independence vs. interdependence) in modulating an emotion regulation strategy, namely, emotion suppression, on Facebook. Furthermore, relationship concern related to the expression of positive and negative emotions on Facebook is explored as a potential underlying mechanism. An online survey on Facebook users in the United States (n = 320) and South Korea (n = 336) was conducted through two professional survey companies. The results revealed that the positive association between public self-consciousness and emotion suppression was stronger among respondents who value interdependence (vs. independence), which led to a significant interaction between the two predictors. Furthermore, public self-consciousness was associated with emotion suppression through relationship concern for the expression of positive, but not negative, emotions. Furthermore, this mediated relationship was stronger among respondents who value interdependence (vs. independence). Lastly, the study discussed the importance of exploring the interplay between personality and culture and the implication of dialectic emotions.

Development of a Ream-time Facial Expression Recognition Model using Transfer Learning with MobileNet and TensorFlow.js (MobileNet과 TensorFlow.js를 활용한 전이 학습 기반 실시간 얼굴 표정 인식 모델 개발)

  • Cha Jooho
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.3
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    • pp.245-251
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    • 2023
  • Facial expression recognition plays a significant role in understanding human emotional states. With the advancement of AI and computer vision technologies, extensive research has been conducted in various fields, including improving customer service, medical diagnosis, and assessing learners' understanding in education. In this study, we develop a model that can infer emotions in real-time from a webcam using transfer learning with TensorFlow.js and MobileNet. While existing studies focus on achieving high accuracy using deep learning models, these models often require substantial resources due to their complex structure and computational demands. Consequently, there is a growing interest in developing lightweight deep learning models and transfer learning methods for restricted environments such as web browsers and edge devices. By employing MobileNet as the base model and performing transfer learning, our study develops a deep learning transfer model utilizing JavaScript-based TensorFlow.js, which can predict emotions in real-time using facial input from a webcam. This transfer model provides a foundation for implementing facial expression recognition in resource-constrained environments such as web and mobile applications, enabling its application in various industries.

Study of Parental Reactions to a Child's Negative Emotions (유아의 부정적 정서에 대한 부모의 반응에 관한 연구)

  • Chung, Myoung-Ja;Lim, You-Kyoung;Kim, Dong-Rye
    • Korean Journal of Human Ecology
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    • v.20 no.6
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    • pp.1109-1119
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    • 2011
  • The purpose of this study was to examine the difference of the father's and mother's reactions to their children's negative emotions, relations among the children's variables, parent's variables, and parent's reactions. The subjects selected were 183 mothers and 183 fathers with children aged three to five-years-old, from a childcare center and kindergarten in Kwang-ju. Parental emotion-related practices regarding children's negative emotions were assessed with an adaptation of the CCNES(Fabes et al, 1990) that was modified by Kim Hee-Jung(1994). Descriptives, Pearson's correlation coefficient, were used for data analysis by using the SPSS 15.0 program. The results of this study can be summarized as follows: First, fathers and mothers used more positive reactions than negative reactions when their children showed negative emotions. The mothers were significantly higher than fathers on encouragement of expression, punitive, and distress reactions. Second, the children's age and gender, parent's age, level of education and income were negatively and positively correlated to the father's and mother's reactions to their children's negative emotions.

3D Emotional Avatar Creation and Animation using Facial Expression Recognition (표정 인식을 이용한 3D 감정 아바타 생성 및 애니메이션)

  • Cho, Taehoon;Jeong, Joong-Pill;Choi, Soo-Mi
    • Journal of Korea Multimedia Society
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    • v.17 no.9
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    • pp.1076-1083
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    • 2014
  • We propose an emotional facial avatar that portrays the user's facial expressions with an emotional emphasis, while achieving visual and behavioral realism. This is achieved by unifying automatic analysis of facial expressions and animation of realistic 3D faces with details such as facial hair and hairstyles. To augment facial appearance according to the user's emotions, we use emotional templates representing typical emotions in an artistic way, which can be easily combined with the skin texture of the 3D face at runtime. Hence, our interface gives the user vision-based control over facial animation of the emotional avatar, easily changing its moods.

Facial EMG pattern evoked by pleasant and unpleasant odor stimulus

  • Yamada, Hiroshi;Kaneki, Noriaki;Shimada, Koji;Okii, Hironori
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2002.05a
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    • pp.11-15
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    • 2002
  • Activities of venter frontalis, corrugator, levator labii superioris and greater zygomatic muscles were measured for five male subjects while they made pleasant, unpleasant and neutral facial expressions, and while they were presented pleasant, disgusting, and neutral odors. Pleasant expression and odor activated zygomatic muscles while unpleasant expression and odor increased corrugator muscle activity.

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Crossmodal Perception of Mismatched Emotional Expressions by Embodied Agents (에이전트의 표정과 목소리 정서의 교차양상지각)

  • Cho, Yu-Suk;Suk, Ji-He;Han, Kwang-Hee
    • Science of Emotion and Sensibility
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    • v.12 no.3
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    • pp.267-278
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    • 2009
  • Today an embodied agent generates a large amount of interest because of its vital role for human-human interactions and human-computer interactions in virtual world. A number of researchers have found that we can recognize and distinguish between various emotions expressed by an embodied agent. In addition many studies found that we respond to simulated emotions in a similar way to human emotion. This study investigates interpretation of mismatched emotions expressed by an embodied agent (e.g. a happy face with a sad voice); whether audio-visual channel integration occurs or one channel dominates when participants judge the emotion. The study employed a 4 (visual: happy, sad, warm, cold) $\times$ 4 (audio: happy, sad, warm, cold) within-subjects repeated measure design. The results suggest that people perceive emotions not depending on just one channel but depending on both channels. Additionally facial expression (happy face vs. sad face) makes a difference in influence of two channels; Audio channel has more influence in interpretation of emotions when facial expression is happy. People were able to feel other emotion which was not expressed by face or voice from mismatched emotional expressions, so there is a possibility that we may express various and delicate emotions with embodied agent by using only several kinds of emotions.

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The Effect of Program on Emotion of Patients with Schizophrenia: A systematic review of randomized controlled trials (조현병 환자의 정서를 위한 프로그램의 효과: 무작위 대조군 실험연구의 체계적 고찰)

  • Eun-Sol Ju
    • Journal of The Korean Society of Integrative Medicine
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    • v.11 no.2
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    • pp.77-86
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    • 2023
  • Purpose : This study systematically assessed 9 emotion-function programs for schizophrenic individuals that have been implemented over the past 10 years in Korea and abroad, with the objective of providing clinical grounds and data for further programs. Methods : This study identified 2,558 studies from among those registered in the RISS, KISS, EMbase, PubMed and Scopus databases from 2013 to September 2023, using 'schizophrenia' AND 'emotion' AND ('program' OR 'therapy') as keywords. Of the 2,558 studies retrieved from electronic databases, 602 duplicate papers were excluded. After this process, 1,915 papers that did not meet the study's inclusion and exclusion criteria were excluded based on their titles and abstracts. Following a review of the texts of the remaining 41 papers, nine papers were finally selected, excluding 32 papers according to the selection and exclusion criteria. Results : Programs for the emotional function of patients with schizophrenia have continued to be researched. The results of an evaluation on the quality of the selected literature confirmed that a majority of the reviewed items were "uncertain", confirming that there was a risk of bias. The interventions for emotions included art, cognitive-behavioral, and physical programs, of which art programs were frequently applied. Most of the interventions were implemented in hospitals. The dependent variables for evaluating emotions included emotional expression, depression, anxiety, and positive emotions, and among them, emotional expression was used most frequently. Accordingly, the Berkeley expressivity questionnaire was commonly used as an evaluation tool. Conclusion : This study is significant for intending to analyze domestic and overseas programs for the emotions of patients with schizophrenia, thereby proposing the direction for planning and applying interventions in clinical settings. In follow-up studies, it will be necessary to develop a protocol that confirms interventions according to the settings and patient characteristics of programs and expands the scope of literature reviews.

Effects of the facial expression presenting types and facial areas on the emotional recognition (얼굴 표정의 제시 유형과 제시 영역에 따른 정서 인식 효과)

  • Lee, Jung-Hun;Park, Soo-Jin;Han, Kwang-Hee;Ghim, Hei-Rhee;Cho, Kyung-Ja
    • Science of Emotion and Sensibility
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    • v.10 no.1
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    • pp.113-125
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    • 2007
  • The aim of the experimental studies described in this paper is to investigate the effects of the face/eye/mouth areas using dynamic facial expressions and static facial expressions on emotional recognition. Using seven-seconds-displays, experiment 1 for basic emotions and experiment 2 for complex emotions are executed. The results of two experiments supported that the effects of dynamic facial expressions are higher than static one on emotional recognition and indicated the higher emotional recognition effects of eye area on dynamic images than mouth area. These results suggest that dynamic properties should be considered in emotional study with facial expressions for not only basic emotions but also complex emotions. However, we should consider the properties of emotion because each emotion did not show the effects of dynamic image equally. Furthermore, this study let us know which facial area shows emotional states more correctly is according to the feature emotion.

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Effectiveness of emotional regulation art class using right brain function (우뇌 기능을 활용한 정서조절 미술수업의 효과성)

  • Kim, Hee-Ju;Huh, Yoon-Jung
    • Journal of the Korea Convergence Society
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    • v.12 no.6
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    • pp.119-125
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    • 2021
  • In the elementary school period, since the developmental stage in the area of emotional regulation is immature, it is necessary to develop emotional regulation ability. In order to promote emotional regulation, this study provides an emotional regulation art class that utilizes the right brain function. Results were derived by analyzing through pre- and post-questions and post-interviews. As a result of the pre-post analysis, among the sub-elements of emotional regulation after class, 'Self-Emotion Recognition and Expression', 'Emotional Recognition and Consideration of Others', and 'Interpersonal Relationships' were statistically high. As a result of interview analysis, it was found that all students had a positive effect in the emotional regulation sub-item. As a result, they recognized and understood their emotions after class rather than before class, and had the effect of expressing emotions by purifying negative emotions into positive emotions. It is suggested that it is necessary to develop a program that applies various teaching and learning methods for emotional regulation art class in the future.