• International Journal of Advanced Culture Technology
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• v.7 no.1
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• pp.199-208
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• 2019

Today, mankind is falling in serious stress. So there are various way that heal men as human psychology, philosophy, medical science etc. And in recent years, interest in literature therapy has been focused to heal the human sense of spirit. In the future, we will be able to treat our spirit sense with AI Emotion. The treatment process can be induced by the system of emotion coding which AI Emotion deliver Emotion signals to Human body. For this study, we used the Ahn Min-young's Sijo. The reason is that his Sijo is useful this study of the Emotion Coding. As the result, Ahn Min-young's emotion coding created the codes as if amino acid codes. We must continue this research. Then our literature therapy could grow and contribute to human well-being.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.299-303
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• 2019

This study is one of the preparatory tasks for this researcher to do Emotion Coding on AI. This time, we're doing an Emotion Coding for Sijo "Blue Mountain is My Meaning" by Hwang Jin-yi. Huang Jin-yi is doing Emotion Coding on Blue Mountain and Green Stream in this Sijo. These Emotions code, as seen in Emotion Codon, as in UUU. This phenomenon can be described in the form in which this researcher hypothesized. In other words, this Emotion Coding acts as a catalyst for the formation of an amino acid called phenylalanine. If we continue this research, it is thought that the function of literature, which is more healing, will be utilized in the future of mankind.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.13-20
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• 2019

This study aims to study the codes that can code the Sijo's emotional codes into AI and use them in literature therapy. In this study, we conducted emotional coding of the Sijo Crying Cuckoo at the Empty Mountain. As a result, the Emotion Codon was able to indicate the state of sadness catharsis. This implanting of the Sijo's emotional codes into Emotion Codon is like implanting human emotions into AI. If the basic emotion codes are implanted in the Emotion Codon and induced of AI's self-learning, We think AI can combine various emotions that occur in the human body. AI can then replace human emotions, which can be useful in treating of human emotions. It is believed that continuing this study will induce human emotions to heal the mind and spirit.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2012.05a
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• pp.63-64
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• 2012

• The Journal of the Convergence on Culture Technology
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• v.5 no.3
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• pp.203-207
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• 2019

This researcher is working on coding emotional codes from the Sijos that were created. So the purpose of this study is to derive the potential for literary therapy with Sijo's emotional coding. This time, we are going to study Lee Jin-moon's Sijo "The Light of the Sun in June." In this Sijo, the code of joy is generated in the first line, the code of joy in the second line, and the code of sadness in the last line. These emotional codes can be combined in different ways in the Emotion Codon. What this combination means is that the human body can be treated with literary emotion. It is believed that we will be able to continue this research and learn a better way of life.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.80-88
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• 2019

With more emphasis on emotional communication with users in product design field, designers' clear and prompt grasp of user's emotion has become the core activity in product design research. To increase the flexibility applying emotion measurement in the process of product design, this study has used Facial Action Coding System (FACS) of behavioral emotion measurement method in product design evaluation. To select specimens, it has flexibly used the emotional product Image Map. Then this study has selected six product irritants inducing positive, negative and neutral emotions, and conducted FACS experiment with ordinary product users of 20 generations as the experimental subject, and analyzed users' emotional state in response to the irritants through their facial expressions. It also analyzes the advantages and disadvantages of FACS in the process of product design, such as "recording users' unconscious facial expressions" and puts forward some applicable schemes, such as "choosing a product stimulus with high user response". It is expected that this paper can be helpful to the flexibility of FACS as a method to predict user's emotion in advance at the trial stage of product design before launching them to the market.

• 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.

• International Journal of Advanced Culture Technology
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• v.7 no.2
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• pp.188-194
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• 2019

Always, emotion is mutant. This is principle of literary treatment. In the literature, sadness is not sadness, and 'loving emotion' is not 'loving emotion.' Despite loving of our, loving is sadness. Also loving is to cry. This crying becomes love. This study is to show the mutant emotion which is to be able to code Deep Learning AI. We explored the Sijo "Streams that cried last night", because this Sijo was useful to study mutant emotion. The result was that this Sijo was coding the mutant emotion. Almost continuously, the sadness codes were spawning and concentrating. So this Sijo was making the emotion of love with the sadness. If this study is continued, It is believed that our lives will be much happier. And the method of literary therapy will be able to more upgrade.

• Design Convergence Study
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• v.16 no.6
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• pp.137-152
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• 2017

This research aims to develop the companion robot experience design for elderly in korea based on needs-function deploy matrix of robot and emotion expression research of robot in multimodal interaction. First, Elder users' main needs were categorized into 4 groups based on ethnographic research. Second, the functional elements and physical actuators of robot were mapped to user needs in function- needs deploy matrix. The final UX design prototype was implemented with a robot type that has a verbal non-touch multi modal interface with emotional facial expression based on Ekman's Facial Action Coding System (FACS). The proposed robot prototype was validated through a user test session to analyze the influence of the robot interaction on the cognition and emotion of users by Story Recall Test and face emotion analysis software; Emotion API when the robot changes facial expression corresponds to the emotion of the delivered information by the robot and when the robot initiated interaction cycle voluntarily. The group with emotional robot showed a relatively high recall rate in the delayed recall test and In the facial expression analysis, the facial expression and the interaction initiation of the robot affected on emotion and preference of the elderly participants.

• Korean Journal of Child Studies
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• v.24 no.6
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• pp.15-31
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• 2003

This study examined the effects of emotion inducing contexts on types of infants smiling. Facial expressions of forty-five 11-to 15-month-old infants were videotaped in an experimental lab with positive and negative emotional contests. Infants' smiling was identified as the Duchenne smile or non-Duchenne smile based on FACS(Facial Action Coding System, Ekman & Friesen, 1978). Duration of smiling types was analyzed. Overall, infants showed more smiling in the positive than in the negative emotional context. Occurrence of Duchenne smiling was more likely in the positive than in the negative context and in the peek-a-boo than in the melody toy condition within the same positive context. Non-Duchenne smiling did not differ by context.