• Journal of Haehwa Medicine
• /
• v.9 no.1
• /
• pp.183-192
• /
• 2000

1. The emotion is given before birth, and because of not perfect of human being's consciseness, individual differance exist. 2. Every emotion act first on the heart and following other organ which possess each of the five emotion. Therfore the heart plays impartant role on the emotion and emerge five organ in the oriental medicine theory. 3. The emotion was expressed by external reagent, but the more importante reagent is internal situation such as qi(氣), xie(血), yin(陰), yang(陽), according to these reagent the existing time and strength is different. 4. The emotion is different according to the weak-strong and big-small of zang-fu(臟腑), and the size of zang-fu(臟腑) is determined by emotional specificity in the si-xiang medicinal (四象醫學)theory.

• Science of Emotion and Sensibility
• /
• v.20 no.2
• /
• pp.161-170
• /
• 2017

Emotion affects many parts of human life such as learning ability, behavior and judgment. It is important to understand human nature. Emotion can only be inferred from facial expressions or gestures, what it actually is. In particular, emotion is difficult to classify not only because individuals feel differently about emotion but also because visually induced emotion does not sustain during whole testing period. To solve the problem, we acquired bio-signals and extracted features from those signals, which offer objective information about emotion stimulus. The emotion pattern classifier was composed of unsupervised learning algorithm with hidden nodes and feature vectors. Restricted Boltzmann machine (RBM) based on probability estimation was used in the unsupervised learning and maps emotion features to transformed dimensions. The emotion was characterized by non-linear classifiers with hidden nodes of a multi layer neural network, named deep belief network (DBN). The accuracy of DBN (about 94 %) was better than that of back-propagation neural network (about 40 %). The DBN showed good performance as the emotion pattern classifier.

• The Korean Journal of Franchise Management
• /
• v.12 no.1
• /
• pp.45-55
• /
• 2021

Purpose: How to build the positive emotion of customer is very important, because it affects the positive attitude. Brand evidence has a significant impact on consumer behavior in terms of reinforcing consumers' perception of food service companies and differentiating them from competing brands. Thus, this study examines the effect of brand evidence on emotion (positive emotion and negative emotion), and attitude in restaurant industry. Research design, data, and methodology: This study examines the structural relationship among brand evidence, emotion, and attitude. Brand evidence divide into three sub-dimensions such as physical evidence, core service, and employee service. In order to test the purposes of this study, research model and hypotheses were developed. The questionnaire items were modified and used according to the content of this study based on previous studies. All constructs were measured by multiple items tested and developed in the previous research. The data were collected from 439 restaurant users from Seoul area were analyzed using SPSS 22.0 and SmartPLS 3.0 program. A total of 460 questionnaires were distributed and a survey was conducted for 4 weeks, and a total of 439 were used for analysis, excluding non-response data and 21 unusable response data among the collected questionnaires. Frequency analysis was conducted to identify the general characteristics of the survey subjects. To measure the reliability and validity of the measurement tools, confirmatory factor analysis was conducted. Structural model analysis was conducted to verify the research model. Result: The findings demonstrate that physical evidence, core service, employee service had positive effects on positive emotion. And core service and employee service had negative effects on negative emotion while physical evidence did not have. Also, positive emotion had positive effect on attitude and negative emotion had negative effect on attitude. Conclusions: The findings of this study provide guidelines on how to enhance competitiveness in restaurant industry through understanding brand evidence's effects on raising perceived consumer's emotion and attitude. Therefore, food service companies should establish a marketing strategy that can stimulate positive emotions through brand evidence, which is all factors related to service brands that influence consumers' evaluation of service products and purchase decision-making process.

• Science of Emotion and Sensibility
• /
• v.11 no.4
• /
• pp.541-552
• /
• 2008

We cannot express emotions correctly with only speech because it is hard to estimate the kind, size, amount of emotions. Hamlet who is a protagonist in 'Hamlet' of Shakespeare has emotions which cannot be expressed within only speech because he is in various dramatic situations. So we supposed an artificial emotion, instead of expressing emotion with speech, expressing and visualizing current emotions with color and location. And we visualized emotions of characters in 'Hamlet' with the artificial emotion. We designed the artificial emotion to four steps considering peculiarities of emotion. First, the artificial emotion analyzes inputted emotional stimulus as relationship between causes and effects and analyzes its kinds and amounts. Second, we suppose Emotion Graph Unit to express generating, maintaining, decaying of analyzed one emotional stimuli which is outputted by first step, according to characteristic. Third, using Emotion Graph Unit, we suppose Emotion Graph that expresses continual same emotional stimulus. And we make Emotion Graph at each emotions, managing generation and decay of emotion individually. Last, we suppose Emotion Field can express current combined value of Emotion Graph according to co-relation of various emotions, and visualize current emotion by a color and a location in Emotion Field. We adjusted the artificial emotion to the play 'Hamlet' to test and visualize changes of emotion of Hamlet and his mother, Gertrude.

• Journal of Korea Multimedia Society
• /
• v.19 no.4
• /
• pp.717-724
• /
• 2016

Paintings can evoke emotions in viewers. In this paper, we propose a method for extracting emotion from paintings by using the colors that comprise the paintings. For this, we generate color spectrum from input painting and compare the color spectrum and color combination for finding most similarity color combination. The found color combinations are mapped with emotional keywords. Thus, we extract emotional keyword as the emotion evoked by the painting. Also, we vary the form of algorithms for matching color spectrum and color combinations and extract and compare results by using each algorithm.

• Journal of Sasang Constitutional Medicine
• /
• v.10 no.1
• /
• pp.25-40
• /
• 1998

Sasang Constitutional Medicine is the constition medicine and the basis which constitution reveals is the distinction of the nature and emotion. Therefore the theory of the nature and emotion is the foundation which Sasang Constitution Medicine is coming into being. The author studied the progress that the distinction of the nature and emotion was formed and analized the phenomenon presented by the distinction of it as the principle of the movement of Yin and Yang. The results are following; 1. The beginning of the operation of the nature begins from some one part(cho ; 焦) among four part. That consists of the first factor of constitution-revelation. In accordance with the distinction of the nature, the second factor, that is the distinction of the emotion is determined and the united distinction of the nature and emotion presents the Sasang constitution. 2. The operation of the nature and emotion is the movement of Qi by the property of Yin and Yang and that is the phenomenon presented by the logical and scientifical law. 3. The ontology of Lee Je-ma is Qi-monism. 4. Four emotion(Sorrow, Anger, Joy, Presure) are not partional concept of the emotion but total concept which include all of it.

• Journal of Families and Better Life
• /
• v.29 no.6
• /
• pp.55-69
• /
• 2011

The purpose of this study was to explore the effects of difficult temperament and mothers' reactions to child negative emotion on child emotion regulation strategies. Mothers of 253 preschoolers(Mage=4.04yrs.) responded to questionnaires on child temperament, mothers' reactions to child negative emotion, and child emotion regulation strategy. The results of regression analysis revealed that; 1) child difficult temperament positively predicted child's aggressive or outburst/appealing strategies whereas negatively predicted avoidance/none strategy; 2) child difficult temperament was not the variable predicting positive coping strategy, but mothers' emotion-focused or problem-focused reactions predicted child positive coping strategy whereas punitive or distress reactions predicted either aggressive or avoidance/none strategy; 3) child temperament moderated the link between mothers' reactions to child's negative emotion expression and child emotion regulation strategies. In particular, children with higher difficult temperament showed higher aggressive strategy under mothers' higher distress or punitive reaction and lower emotion focused or problem focused reaction. On the other hand, children with lower difficult temperament only showed avoidance/ none strategy when mothers showed higher minimization or punitive reaction. The results of current study underscore both child temperament, mothers' reactions and their interactions in predicting child emotion regulation strategies.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.2 no.2
• /
• pp.23-28
• /
• 2009

This study describes an emotion classification method using two different feature parameters of four-channel EEG signals. One of the parameters is linear prediction coefficients based on AR modelling. Another one is cross-correlation coefficients on frequencies of ${\theta}$, ${\alpha}$, ${\beta}$ bands of FFT spectra. Using the linear predictor coefficients and the cross-correlation coefficients of frequencies, the emotion classification test for four emotions, such as anger, sad, joy, and relaxation is performed with an artificial neural network. The results of the two parameters showed that the linear prediction coefficients have produced the better results for emotion classification than the cross-correlation coefficients of FFT spectra.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.54 no.7
• /
• pp.71-78
• /
• 2017

There are several algorithms to classify emotion, such as Support-vector-machine (SVM), Bayesian decision rule, etc. However, many researchers have insisted that these methods have minor problems. Therefore, in this paper, we propose a novel method for emotion recognition based on Electroencephalogram (EEG) signal using the Gradient method which was proposed by Han. We also utilize a database for emotion analysis using physiological signals (DEAP) to obtain objective data. And we acquire four channel brainwaves, including Fz (${\alpha}$), Fp2 (${\beta}$), F3 (${\alpha}$), F4 (${\alpha}$) which are selected in previous study. We use 4 features which are power spectral density (PSD) of the above channels. According to performance evaluation (4-fold cross validation), we could get 85% accuracy in valence axis and 87.5% in arousal. It is 5-7% higher than existing method's.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2004.10a
• /
• pp.1123-1126
• /
• 2004

Recognizing emotion in speech is required lots of spoken language corpus not only at the different emotional statues, but also in individual languages. In this paper, we focused on the changes speech signals in different emotions. We compared the features of speech information like formant and pitch according to the 4 emotions (normal, happiness, sadness, anger). In Korean, pitch data on monophthongs changed in each emotion. Therefore we suggested the suitable analysis techniques using these features to recognize emotions in Korean.