• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.146-149
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• 2003

This paper proposes the concept of “Artificial Emotion”(AE). The goal of AE is simulation, extension and expansion of natural emotion, especially human emotion. The object of AE is machine emotion and emotion machine. The contents of AE are emotion recognition, emotion measurement, emotion understanding emotion representation emotion generation, emotion processing, emotion control and emotion communication. The methodology, technology, scientific significance and application value of artificial emotion are discussed

• 한국정보통신학회논문지
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• 제18권1호
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• pp.162-168
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• 2014

본 연구에서는 사용자의 감성정보와 감성을 공유한 장소에 대한 위치정보를 이용하여 사용자의 위치에 따른 감성변화를 사용자간에 공유 할 수 있는 감성공유 시스템을 제안한다. 시스템은 감성 모바일 스마트폰 앱과 감성공유서버로 구성된다. 감성 스마트폰 앱은 공유하고자 하는 원격지의 사용자의 위치와 감성상태를 Google Map API를 이용한 지도서비스를 통해 표현한다. 감성공유서버는 모바일 외에 다양한 플렛폼간의 감성공유가 가능하도록 RESTful방식을 이용하여 구현 되었다. 감성공유서버에서 교환되는 감성정보는 XML형식으로 저장된다. 제안하는 감성공유 시스템을 이용하여 이동하는 사용자의 위치에 따른 감성변화가 지도서비스를 통해 공유 가능함을 확인 하였다.

• 로봇학회논문지
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• 제5권1호
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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.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅲ
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• pp.1243-1246
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• 2003

It is known that structure of Human's brain information system is controlled by cerebral cortex mainly. Cerebral cortex is divided by sensory area, motor area and associated area largely. Sensory area takes part in information from environment and motor area is actuation by decision as associated area determined. It is possible to copy brain information system by input-output pattern. but there is difficulty in modeling of memorizing new information. Such action is performed by Limbic Lobe and Papez circuit which is controlled by intrinsic emotion. So we need of definition of emotion's role in decision. In this paper, we define roles of emotion in intrinsic decision using Dynamic Cognitive Maps(DCMs). The emotion is evaluated by outside information then intrinsic decision performed as how much emotion variated. The dynamic cognitive maps take part in emotion evaluating process.

• 디지털산업정보학회논문지
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• 제12권3호
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• pp.167-179
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• 2016

Online games, by a massive influx of many players, it has diverse situations in which emotion is generated. Emotion plays an important role that helps players to interact and immerse in game. In the previous games, simple structures are used to express emotion. By increasing the user's needs of emotion in the game, it is necessary to structure a various type of emotion. In this paper, the game components were classified as background, object, and character in order to analyze emotion structurally in game. We defined how to use the rule of emotion, and applied to League of legend, Cyphers and World of Warcraft which belong to the AOS genre. The AOS game is well-suited for analyzing emotion structure, because a various emotional changes and situations can arise in the game. Through this paper, it was discovered similarities emotion to be used in online games. It is expected to generalize the emotion in the game by analyzing the emotional structure of more games in future.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2011년도 추계학술대회
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• pp.13-14
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• 2011

• 감성과학
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• 제8권1호
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• pp.1-7
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• 2005

This paper reports several emotion detecting methods based on various attributes of human voice. These methods have been developed at our Engineering Systems Laboratory. It is noted that, in all of the proposed methods, only prosodic information in voice is used for emotion recognition and semantic information in voice is not used. Different types of neural networks(NNs) are used for detection depending on the type of voice parameters. Earlier approaches separately used linear prediction coefficients(LPCs) and time series data of pitch but they were combined in later studies. The proposed methods are explained first and then evaluation experiments of individual methods and their performances in emotion detection are presented and compared.

• Journal of Computing Science and Engineering
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• 제10권4호
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• pp.103-110
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• 2016

Emotion recognition is an important component of affective computing, and is significant in the implementation of natural and friendly human-computer interaction. An effective approach to recognizing emotion from text is based on a machine learning technique, which deals with emotion recognition as a classification problem. However, in emotion recognition, the texts involved are usually very short, leaving a very large, sparse feature space, which decreases the performance of emotion classification. This paper proposes to resolve the problem of feature sparseness, and largely improve the emotion recognition performance from short texts by doing the following: representing short texts with word cluster features, offering a novel word clustering algorithm, and using a new feature weighting scheme. Emotion classification experiments were performed with different features and weighting schemes on a publicly available dataset. The experimental results suggest that the word cluster features and the proposed weighting scheme can partly resolve problems with feature sparseness and emotion recognition performance.

• 경영과정보연구
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• 제25권
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• pp.243-273
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• 2008

A new research paradigm is emerging within organizational behavior, in both theory and empiricism, based on the increasing recognition of the importance of emotions to organizational life. This paper suggest that emotion intelligence play a moderate variables in relationship of emotion labor and emotional exhaustion. More specifically, it is proposed that emotional intelligence, the ability to understand and manage emotions in the employee self and others, contribute to effective emotions management in organizations. Four major aspects of emotion labor, appraisal and expression of emotion in oneself, appraisal and recognition of emotion in others, regulation of emotion in oneself and use of emotion to facilitate performance, are described. Also, the emotional intelligence are consists of four aspects, frequency of appropriate emotional display, attentiveness to required displayed rules, variety of emotions to be displayed and emotional dissonance. Then I propose how emotional intelligence contributes to of relations the emotion labor and emotional exhaustion. The purpose of this research is to investigate the impact of emotion labor to employee's emotional exhaustion to explore the moderating effects of the emotional intelligence between the emotion labor and emotional exhaustion. To complete the research the data were collected through a questionnaire from 147 employees from service company. After multi-hierarchical regression analysis, the outcomes of this study are the employee's emotional exhaustion are affected negatively by the three factors: major aspects of emotion labor, regulation of emotion in oneself, use of emotion to facilitate performance, make the moderation effect between emotion labor and emotional intelligence. These results indicate that instilling in others an appreciation of the importance of work activities: encouraging of true expression individual emotions, generating and maintaining well emotional climate and cooperation situations, and managing a meaningful environment for an organizational life.

• 한국컴퓨터정보학회논문지
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• 제23권8호
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• pp.37-43
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• 2018

In this paper, we propose a framework that automatically suggests emotion using emotion analysis method based on facial expression change. We use Microsoft's Emotion API to calculate and analyze emotion values in facial expressions to recognize emotions that change over time. In this step, we use standard deviations based on peak analysis to measure and classify emotional changes. The difference between the classified emotion and the normal emotion is calculated, and the difference is used to recognize the emotion abnormality. We match user's emotions to relatively relaxed emotions using histograms and emotional meshes. As a result, we provide relaxed emotions to users through images. The proposed framework helps users to recognize emotional changes easily and to train their emotions through emotional relaxation.