• Journal of Institute of Control, Robotics and Systems
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• v.19 no.4
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• pp.364-371
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• 2013

Emotion Recognition is one of the important part to develop in human-human and human computer interaction. In this paper, we have focused on the performance of multi-class SVM (Support Vector Machine) with Gaussian RFB (Radial Basis function) kernel, which has been used to solve the problem of emotion recognition from physiological signals and to improve the accuracy of emotion recognition. The experimental paradigm for data acquisition, visual-stimuli of IAPS (International Affective Picture System) are used to induce emotional states, such as fear, disgust, joy, and neutral for each subject. The raw signals of acquisited data are splitted in the trial from each session to pre-process the data. The mean value and standard deviation are employed to extract the data for feature extraction and preparing in the next step of classification. The experimental results are proving that the proposed approach of multi-class SVM with Gaussian RBF kernel with OVO (One-Versus-One) method provided the successful performance, accuracies of classification, which has been performed over these four emotions.

• Journal of the Korean Home Economics Association
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• v.47 no.7
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• pp.1-12
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• 2009

This study examined emotion regulation, parental support, supervision, psychological control and marital conflict and victimization by peer harassment that affect children’s behavioral problems. The sample consisted of 412 fifth and sixth grade children. Statistics and methods used for the data analysis were percentage, frequency, Cronbach’s alpha, Factor analysis, t-test, Pearson’s correlation, and multiple Regression. Several major results were found from the analysis. First, girls had more internalized behavioral problems than boys. No sex difference was found in externalized behavioral problems. Second, boys’ and girls’ internalized and externalized behavioral problems showed positive correlations with maladaptive emotion regulation and parental psychological control. Boys’ and girls’ internalized behavioral problems and girls’ externalized behavioral problems showed negative correlations with parental support, but positive correlations with parentral marital conflict and victimization by peer harassment. Girls’ internalized and externalized behavioral problems showed negative correlations with parental supervision. Third, maladaptive emotion regulation was the most important variable predicting boys’ and girls’ externalized behavioral problems and girls’ internalized behavioral problems. Victimization by peer harassment was the most important variable predicting boys’ internalized behavioral problems.

• Journal of Institute of Control, Robotics and Systems
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• v.16 no.10
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• pp.957-962
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• 2010

If we want to recognize the human's emotion via the facial image, first of all, we need to extract the emotional features from the facial image by using a feature extraction algorithm. And we need to classify the emotional status by using pattern classification method. The AAM (Active Appearance Model) is a well-known method that can represent a non-rigid object, such as face, facial expression. The Bayesian Network is a probability based classifier that can represent the probabilistic relationships between a set of facial features. In this paper, our approach to facial feature extraction lies in the proposed feature extraction method based on combining AAM with FACS (Facial Action Coding System) for automatically modeling and extracting the facial emotional features. To recognize the facial emotion, we use the DBNs (Dynamic Bayesian Networks) for modeling and understanding the temporal phases of facial expressions in image sequences. The result of emotion recognition can be used to rehabilitate based on biofeedback for emotional disabled.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.433-440
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• 2015

This study was conducted to examine mediative effects of two factors, emotion control and thinking control, in the relationship between avoid fusion and attention. Participants (308 high school students) were asked to complete a questionnaire which contains items to measure some psychological properties such as emotion control (EC), thinking control (TC), avoidance avoid fusion (CF), conceration(Co) and learning attitude(LA). Structural equation model analysis showed that 8 of modified 9 paths were statistically significant; CF to Co and TC, TC to EC, Co, and LA, EC to Co and LA, and Co to LA. Limitations and suggestions were mentioned in the discussion.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.295-305
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• 2021

This study identifies the relationship between the anger expression and interpersonal problems of college students, and then confirms the influence on emotion regulation difficulties as a mediating effect. And, it was conducted to understand college students who complain of interpersonal problems and to provide basic data for developing programs that can solve their problems. As a result of the study, anger expression showed a positive correlation in interpersonal relations problem and emotion regulation difficulty, and interpersonal relations problem showed somewhat high positive correlation with emotion regulation difficulty. In addition, it was found that emotion control difficulties were partially mediated in the anger expression among college students and interpersonal relationships. In conclusion, we could see the need for future research to develop educational programs that reduce the difficulty of emotion control and lead to positive anger expression among college students, and intervention programs that can improve interpersonal relationships.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.1
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• pp.13-18
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• 2007

Human's sight holds the most extents for recognizing information among other senses. If we make much better visualized environment for human, it will become more beneficial in person's emotion or body. Human is using a lot of display units in modern society. Basic hues ate Red, Green and Blue. Using these three colors, we can change hue sense and degree of brightness of display unit. If we control hue of unit to be suitable according to individual environment, we can feel comfortable or reduce stress. In this paper, we present Human-Friendly Intelligent Hue Control System(HFIHCS) that control hue of display unit using fuzzified factors related to human's emotion and environment. The effectiveness of the proposed system is demonstrated by questionnaire.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.804-809
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• 2004

Intelligence is thought to be related to interaction rather than a deep but passive thinking. Interactive tangible media "iT_Media" is proposed to explore these issues. Personal robotics is a major area to investigate these ideas. A new design methodology for personal and emotional robotics is proposed. Sciences of the artificial and intelligence have been investigated. A short history of artificial intelligence is presented in terms of logic, heuristic, and mobility; a science of intelligence is presented in terms of imitation and understanding; intelligence issues for robotics and intelligence measures are described. A design methodology for personal robots based on science of emotion is investigated. We investigate three different aspects of design: visceral, behavioral, reflective. We also discuss affect and emotion in robots, robots that sense emotion, robots that induce emotion in people, and implications and ethical issues of emotional robots. Personal robotics for the elderly seems to be a major area in which to explore these ideas.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.1
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• pp.1-6
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• 2005

In this paper, we propose an emotion recognition method using the facial images and speech signals. Six basic emotions including happiness, sadness, anger, surprise, fear and dislike are investigated. Facia] expression recognition is performed by using the multi-resolution analysis based on the discrete wavelet. Here, we obtain the feature vectors through the ICA(Independent Component Analysis). On the other hand, the emotion recognition from the speech signal method has a structure of performing the recognition algorithm independently for each wavelet subband and the final recognition is obtained from the multi-decision making scheme. After merging the facial and speech emotion recognition results, we obtained better performance than previous ones.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2008.10a
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• pp.102-105
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• 2008

본 연구는 근미래에 실현 가능할 것이라고 판단되는 홈 오토메이션 시대에 대비하여, 유저의 사용편의성 향상과 메이커 입장에서의 디자인전략 수립을 위한 홈 네트워크 정보가전의 통합형 유저 인터페이스 구축을 목표로, 대표 메이커의 홈 네트워크에 대한 현황파악과 분석을 실시하였다. 그 결과, '스테이션 의존형 시스템 구축', '조작성의 향상', '기기 간의 친화성 향상'의 필요성 규명과 함께, 네트워크 가전의 인터페이스 구축의 개념 모델의 필요성을 도출하였다. 나아가, 유저 인터페이스의 통합화가 가능한 기종의 선별과 네트워크 가전으로서의 조작방법상 특징을 추출하기 위하여, 총 34개 제품에 대한 38가지의 물리적 특성에 대한 분석을 실시, 가전제품은 크게 4가지의 조작방법에 따른 총 7개의 그룹으로 분류할 수 있었다. 그 중 Full Control과 Remote Control, Non Control, Simple Control, Direct Control의 5개 그룹에 속하는 정보가전제품들이 홈 네트워크 가전에 적합하며, 공통되는 인터페이스를 구축하는 것이 가능하다는 것을 알았다. 또한 그 제품군들의 통합형 인터페이스 구축을 위한 공통조작 요소로 Direct Control과 Simple Control, Non Control이 적합하다는 점도 규명했다.

• Science of Emotion and Sensibility
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• v.22 no.2
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• pp.37-48
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• 2019

Current research explores the effect of language on the perception of facial emotion as suggested by the psychological construction theory of emotion by using a psychophysical method. In this study, we hypothesize that the perception of facial expression may be influenced if the observer is shown an affective word before he/she judges an expression. Moreover, we suggest that his/her understanding of a facial emotion will be in line with the conceptual context that the word denotes. During the two experiments conducted for this project, a control stimulus or words representing either angry or happy emotions were briefly presented to participants before they were shown a target face. These target faces were randomly selected from seven faces that were gradually morphed to show neutral to angry (in Experiment 1) and neutral to happy (in Experiment 2) expressions. The participants were asked to perform a two-alternative forced choice (2AFC) task to judge the emotion of the target face (i.e., decide whether it is angry or neutral, or happy or neutral). The results of Experiment 1 (when compared with the control condition) showed that words denoting anger decreased the point of subjective equality (PSE) for judging the emotion of the target as anger, whereas words denoting happiness increased the PSE. Experiment 2, in which participants had to judge expressions on a scale from happy to neutral, produced a contrasting pattern of results. The outcomes of this study support the claim of the psychological construction theory of emotion that the perception of facial emotion is an active construction process that may be influenced by information (such as affective words) that provide conceptual context.