• The Journal of Korea Robotics Society
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• v.5 no.1
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• pp.7-13
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• 2010

This paper presents the sound-based emotion estimation method and the growing HRI (human-robot interaction) system for a Mon-E robot. The method of emotion estimation uses the musical element based on the law of harmony and counterpoint. The emotion is estimated from sound using the information of musical elements which include chord, tempo, volume, harmonic and compass. In this paper, the estimated emotions display the standard 12 emotions including Eckman's 6 emotions (anger, disgust, fear, happiness, sadness, surprise) and the opposite 6 emotions (calmness, love, confidence, unhappiness, gladness, comfortableness) of those. The growing HRI system analyzes sensing information, estimated emotion and service log in an edutainment robot. So, it commands the behavior of the robot. The growing HRI system consists of the emotion client and the emotion server. The emotion client estimates the emotion from sound. This client not only transmits the estimated emotion and sensing information to the emotion server but also delivers response coming from the emotion server to the main program of the robot. The emotion server not only updates the rule table of HRI using information transmitted from the emotion client and but also transmits the response of the HRI to the emotion client. The proposed system was applied to a Mon-E robot and can supply friendly HRI service to users.

• International Journal of Advanced Culture Technology
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• v.5 no.2
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• pp.9-18
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• 2017

The purpose of this study is to find out how to use emotional activity rate in sentence. The aim is to estimate the Emotion-Codon status of emotion-DNA wiggling as well as the sequence of codons in which amino acids of human body are spread. It is as if the amino acids are translated from the DNA of the human body, and the emotions that cooperate with each other are diversified and refined. Through these attempts, we anticipate the change of emotions by literary works and present the direction of the synapse working and the direction of the encoding. Therefore, this study analyzed the emotional activity of Rated Emotion-Codon, which works as Rated Sijo. At this time, the emotional change in the human body, in which the sentence is more clearly pronounced, is predicted and detected. This result shows how emotions can activate the human body. This state of activation is an indicator of how much the sentence pushes the physiological action of the human body. It is judged that Codon is constructed precisely for the activation of the rated Sijo additive definition by this index. Our result is evidenced by the fact that three sentences of Rated Sijo show an array with the same rating as the Rated Codon's, The first sentence fuses with the sentiment between the second sentence and the third sentence of Rated Sijo. The emotional symbols between the sentence symbols "A, U, J, L" in the first base of the Codon table and the sentences fusing between the sentences of the first sentence and the third sentence are "A, U, J, L". The emotional symbols between the sentences flowing in the second base of the Codon table and between the sentences of the first sentence and the second sentence are structured in the third base of the Codon table as "A, U, J, L". The Rated Sijo, which is resiliently and precisely assigned to the human body's Rated Emotion-Codon, will require a rich experience in our Rated Life.

• Journal of Physiology & Pathology in Korean Medicine
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• v.20 no.4
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• pp.784-792
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• 2006

The Neo-Confucian study of the thee of ministerial fire(相火論) constitute of the rule of iung jung(中正), the principal of form and use(體用) and of real nature and emotion(性情) of human and ethic mind(人心道心). The present study is to evaluate a fundamental concept of the theory of ministerial fire, which is one of traditional medical ideology in China, through the Neo-Confucianism projects to The theory of ministerial fire. The theory of ministerial fire of Judange(朱丹溪) was recognized by ontological principal of Heaven-Human being-Earth, ontological structure of Form-Use and the structure that mind consist of real nature and emotion(심統性惰). The ethic and human mind(道心人心) of Judange and constancy and transition(常變) of seven emotion have relationship in the ontological structure of Form-Use. The real nature of human Doing consisted of apriority of Heaven rule is unitary constructed by Form-Use(체용) of inactivated real nature and activated seven emotion and then activated seven emotion shows dual form of appropriate(中節) and inappropriate(不中節). Emperor's and ministerial fire(君火相火) which has a relationships of Heaven-Human being synchronization represents all kinds of fire and classified to heaven fire(天火) and human fire(人火). The emperor's fire was triggered by inactivated fire and ministerial fire(相火) was triggered by activated fire. Inactivated ministerial fires have dual form of physiological ministerial and pathological ministerial fire. Regarding the forementioned analytic thinking, it was clear that manifest processing of One's real nature and the ministerial fire undergo the same principal and logics. Since maintained One's real nature that is inactivated seven emotion and appropriated activated seven emotion, ministerial fire can be stable and keep one's health and well-being in mind and body.

• Korean Journal of Human Ecology
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• v.19 no.2
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• pp.285-294
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• 2010

This study examined the relationship between children's school adjustment and their emotion regulation. The subjects were 122 1st grade students selected from one elementary school in Incheon. Teachers rated each child using the Emotion Regulation Scale (Lee, 1997) and School Adjustment Scale (Chi & Jung, 2006). The data were analyzed by using descriptive statistics, t-test, correlation analysis, and stepwise regressions. The children's emotion regulation and school adjustment were differed by sex of the child. The girls were assessed to be better adapted in emotion regulation and school adjustment than the boys. The children's emotion regulation was positively related to the children's school adjustment. In addition, the children's emotion regulation predicted how well they would adjust to school life.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.3
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• pp.262-267
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• 2013

The recognition of human emotional state is one of the most important components for efficient human-human and human- computer interaction. In this paper, four emotions such as fear, disgust, joy, and neutral was a main problem of classifying emotion recognition and an approach of visual-stimuli for eliciting emotion based on physiological signals of skin conductance (SC), skin temperature (SKT), and blood volume pulse (BVP) was used to design the experiment. In order to reach the goal of solving this problem, half-against-half (HAH) multi-class support vector machine (SVM) with Gaussian radial basis function (RBF) kernel was proposed showing the effective techniques to improve the accuracy rate of emotion classification. The experimental results proved that the proposed was an efficient method for solving the emotion recognition problems with the accuracy rate of 90% of neutral, 86.67% of joy, 85% of disgust, and 80% of fear.

• Science of Emotion and Sensibility
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• v.24 no.3
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• pp.115-124
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• 2021

Non-verbal communication is important in human interaction. It provides a layer of information that complements the message being transmitted. This type of information is not limited to human speakers. In human-robot communication, increasing the animacy of the robotic agent-by using non-verbal cues-can aid the expression of abstract concepts such as emotions. Considering the physical limitations of artificial agents, robots can use light and movement to express equivalent emotional feedback. This study analyzes the effects of LED and motion animation of a spherical robot on the emotion being expressed by the robot. A within-subjects experiment was conducted at the University of Tsukuba where participants were asked to rate 28 video samples of a robot interacting with a person. The robot displayed different motions with and without light animations. The results indicated that adding LED animations changes the emotional impression of the robot for valence, arousal, and dominance dimensions. Furthermore, people associated various situations according to the robot's behavior. These stimuli can be used to modulate the intensity of the emotion being expressed and enhance the interaction experience. This paper facilitates the possibility of designing more affective robots in the future, using simple feedback.

• International Journal of Human Ecology
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• v.13 no.1
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• pp.39-56
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• 2012

This study aims at exploring Korean mothers' beliefs on the development of emotion of their children. In specific, sensitivity and maternal reactions to their children's both negative and positive emotion expressions were explored. Further, associations among maternal sensitivity, maternal reactions and child emotion regulation were examined. A total of 100 Korean mothers whose children were between 6 and 7 years old participated in the study. In order to assess mothers' beliefs about sensitivity, vignettes in a forced-choice format were presented through individual interviews. Mothers' self reported reactions to their children's negative emotions and positive emotions and mothers' perceptions of children's emotion regulation were assessed using questionnaires. Results revealed that Korean mothers endorsed both proactive and reactive sensitivity. However, their sensitivity differed depending on the situation. Mothers tended to endorse either Emotion Focused or Problem Focused reactions to their children's negative emotions. Mothers reported that they were most likely to restrict their child positive emotional expression with explanation in supportive way followed by invalidating through reprimanding it. Mothers' reported Distress Reactions and Punitive Reactions to children's expression of negative emotion were associated with children's liability whereas Emotion-Focused Reaction and Problem-Focused Reaction were associated with children's functional emotion regulation. The results are discussed within a theoretical framework of socialization of emotions.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.79-82
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• 2009

Movies are not only for projecting graphical contents but also for Kansei evaluation that stimulate human beings' sense and emotion in real time. Also, when one views movies or moving images with stories, including movies and dramas, the audience would often be sympathized through various factors of movies, such as performances of actors/actress, graphics, and music, are moved to tears and feel fear. Especially, emotional movement is different from impression and brought about as a result of responding to joy, which is one of the basic emotions of human beings. Moreover, it is suggested that emotion is the most positive aesthetic measurement toward objects. In this study, focusing on emotional movement that is one of many aesthetic reactions in human beings' watching movies, we developed an interface for measuring of emotional changes. The goal of this study is to apply the output of our quantitative analysis on the results of the measurements to the effective designing and production of movies.

• Proceedings of the KSPS conference
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• 2005.11a
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• pp.163-166
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• 2005

We propose a speech emotion recognition method for natural human-robot interface. In the proposed method, emotion is classified into 6 classes: Angry, bored, happy, neutral, sad and surprised. Features for an input utterance are extracted from statistics of phonetic and prosodic information. Phonetic information includes log energy, shimmer, formant frequencies, and Teager energy; Prosodic information includes pitch, jitter, duration, and rate of speech. Finally a patten classifier based on Gaussian support vector machines decides the emotion class of the utterance. We record speech commands and dialogs uttered at 2m away from microphones in 5different directions. Experimental results show that the proposed method yields 59% classification accuracy while human classifiers give about 50%accuracy, which confirms that the proposed method achieves performance comparable to a human.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1776-1780
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• 2004

In this paper, we propose the new emotion model and the robot behavior decision model based on proposed emotion model. As like in human, emotions are hierarchicalized in four levels (momentary emotions, mood, attitude, and personality) and are determined from the robot behavior and human responses. They are combined with motivation (which is determined from the external stimuli) to determine the robot behavior.