• Journal of the Korea Convergence Society
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• 제8권10호
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• pp.167-172
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• 2017

The purpose of this study is to analyze the emotional codes of Sijo, which has been acknowledged to have excellent therapeutic function, to activate the contents of the therapy of humanities. Sijo as a function of healing forms emotional codes of therapy, which is the total of emotions, through the fusion of emotions formed during the process of appreciation of various works. This process enables the literary therapeutic activities to proceed physiologically in the human body. Just as machine learning is self-learning by cognitive functions, the coding process for encoding and re-encoding at all times operates on collections of numerous neurons in the human system. In such a process, it is predicted that amino acids are synthesized in the human body by collective encoding of emotion codes. These amino acids regulate the signaling system of the human body. In the future, if the study on the healing process as such at the contact point of humanities and human physiology proceeds, it is expected that a program of higher quality humanistic therapy will be activated.

• Proceedings of the ESK Conference
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• 대한인간공학회 1997년도 추계학술대회논문집
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• pp.473-476
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• 1997

Human visual emotion were investigated by analyzing HRV from ECG signals, which were varied by the visual stimuli. In this paper, twelve university students experienced visual emotion by pictures from IAPS. ECG and subjective rating were obtained for human emotion evaluation. For determination of HRV, ECG was extracted into HF and LF via power spectrum analysis. The results showed that HRV is good for discrimination between positive and negative emotions.

• The Transactions of The Korean Institute of Electrical Engineers
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• 제67권11호
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• pp.1496-1505
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• 2018

The technology of emotion recognition is necessary for human computer interaction communication. There are many cases where one cannot communicate without considering one's emotion. As such, emotional recognition technology is an essential element in the field of communication. n this regard, it is highly utilized in various fields. Various bio-sensor sensors are used for human emotional recognition and can be used to measure emotions. This paper proposes a system for recognizing human emotions using two physiological sensors. For emotional classification, two-dimensional Russell's emotional model was used, and a method of classification based on personality was proposed by extracting sensor-specific characteristics. In addition, the emotional model was divided into four emotions using the Support Vector Machine classification algorithm. Finally, the proposed emotional recognition system was evaluated through a practical experiment.

• Science of Emotion and Sensibility
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• 제12권3호
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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.

• The Journal of the Korea institute of electronic communication sciences
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• 제17권6호
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• pp.1137-1144
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• 2022

In this study, an artificial intelligence(AI) was developed to help with facial expression practice in order to express emotions. The developed AI used multimodal inputs consisting of sentences and facial images for deep neural networks (DNNs). The DNNs calculated similarities between the emotions predicted by the sentences and the emotions predicted by facial images. The user practiced facial expressions based on the situation given by sentences, and the AI provided the user with numerical feedback based on the similarity between the emotion predicted by sentence and the emotion predicted by facial expression. ResNet34 structure was trained on FER2013 public data to predict emotions from facial images. To predict emotions in sentences, KoBERT model was trained in transfer learning manner using the conversational speech dataset for emotion classification opened to the public by AIHub. The DNN that predicts emotions from the facial images demonstrated 65% accuracy, which is comparable to human emotional classification ability. The DNN that predicts emotions from the sentences achieved 90% accuracy. The performance of the developed AI was evaluated through experiments with changing facial expressions in which an ordinary person was participated.

• Proceedings of the Korea Society of Design Studies Conference
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• 한국디자인학회 2004년도 추계 학술발표대회 논문집
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• pp.232-233
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• 2004

• Journal of Korea Entertainment Industry Association
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• 제13권7호
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• pp.25-38
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• 2019

For many years, emotions have been regarded as dangerous as well as obstructive to reason and rationality. Even in the history of dramatic genres based on human behavior, emotions are often portrayed as errors or flaws that lead to the collapse of characters, even though they are presented as powerful motives to evoke the characters' actions. Based on the development of the cognitive science field today, it is revealed how emotion is important for human thinking, judgment and action, and how closely reason and emotion are combined. This study examines emotions dealt with in drama genres on the basis of the sociality of emotions. Emotions also play a crucial role in the change and judgment of the audience of drama. This study examines the sociality of emotions and looks at the social aspect of individual emotions through the movie as a text. Just as horror movies attempt to communicate using and expanding feelings of fear, the movie uses the emotions of 'Sad' and 'Losing' to try to expand and share it. And I look into the mechanism in which the emotions of the characters in drama are transmitted to the audience in the form of empathy.

• Journal of Oriental Neuropsychiatry
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• 제12궈1호
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• pp.11-27
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• 2001

In oriental medicine, from old times, psychological therapy has been regarded as physical therapy that has been inseparable from psychological therapy. The major objects for oriental psychological therapy is human emotions. Human emotions can be put in the seven feelings(七精) that include Joy(善), Anger(怒), Grief(思), Pity(悲), Fear(恐), Surprise(驚). The seven feelings are connected with human physiology. If each of the seven feelings if excessive, human physiology loses its valance. So the seven feelings are major causes of diseases. The specific character of oriental neuropsychiatry is to make use of the seven feelings in clinical treatment. These oriental neuropsychiatry therapies are performed through consultation with the patient. Of these therapies, Oh-Ji-Sang-Seung(五志相勝療法) is based on the theo교 of interrelation in five elements(metal, wood, water, fire, and earth) in oriental medicine. Specially the sequential subjugations of the five emotions are applied. The contents of Oh-Ji-Sang-Seung(五志相勝療法) include five subjugations of five emotions. Anxiety subjugates fear(思勝恐), fear subjugates joy(恐勝喜), joy subjugates pity(喜勝悲), pity subjugates anger(悲勝怒) and anger subjugates anxiety(怒勝思). The psychological therapy of Oh-Ji-Sang-Seung(五志相勝療法) can be applied in all area of neuropsychiatry. These days, many mental diseases such as Panic Disorder, Depression Somatoform disorders, and negative symptoms of Schizophrenia have been improved by Oh-Ji-Sang-Seung(五志相勝療法) therapy. Here, we present the treatment cases applied Oh-Ji-Sang-Seung(五志相勝療法) therapy in oriental medicine quoted from old oriental books and the latest treatment cases. Moreover, we hope that many oriental therapist will treat many different patients with mental disorders by Oh-Ji-Sang-Seung(五志相勝療法) therapy.

• The Journal of Korea Robotics Society
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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.

• Korean Journal of Human Ecology
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• 제22권1호
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• pp.157-166
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• 2013

The purpose of this paper is to develop and test a conceptual model of purchase intentions, positive emotion, and e-servicescape that is defined as the online environment factors that exist during service delivery. Survey research method was used to gather data regarding consumers' perceptions of e-servicescape. Surveys were administered to 681 college students who experienced purchasing fashion products on the Internet. The results showed that e-servicescapes perceived by fashion consumers were composed of three dimensions: (1) Aesthetic appeal, (2) Ambient conditions, and (3) Layout & functionality. These dimensions of e-servicescape influenced consumers to lead positive emotions and purchase intentions. Additionally, positive emotions constituted a key variable for the purchase intention of fashion products during online exchange. The study revealed that consumers' interpretations of online environments exerted a powerful influence over positive emotion and purchase intentions. Also, it strongly endorsed the view that the purchase intentions of customers were linked to the extent to which they feel positive emotions by the e-service provider. This study provides insights into how consumers' interpretations of e-servicescape affect their subsequent positive emotions and ultimately their intentions to purchase. The findings of this study also have numerous implications for both services managers and internet developers related to fashion products.