• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.1076-1094
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• 2022

Technology for emotion recognition is an essential part of human personality analysis. To define human personality characteristics, the existing method used the survey method. However, there are many cases where communication cannot make without considering emotions. Hence, emotional recognition technology is an essential element for communication but has also been adopted in many other fields. A person's emotions are revealed in various ways, typically including facial, speech, and biometric responses. Therefore, various methods can recognize emotions, e.g., images, voice signals, and physiological signals. Physiological signals are measured with biological sensors and analyzed to identify emotions. This study employed two sensor types. First, the existing method, the binary arousal-valence method, was subdivided into four levels to classify emotions in more detail. Then, based on the current techniques classified as High/Low, the model was further subdivided into multi-levels. Finally, signal characteristics were extracted using a 1-D Convolution Neural Network (CNN) and classified sixteen feelings. Although CNN was used to learn images in 2D, sensor data in 1D was used as the input in this paper. Finally, the proposed emotional recognition system was evaluated by measuring actual sensors.

• The Journal of Korean Philosophical History
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• no.41
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• pp.93-127
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• 2014

Toegye and Yulgok both tried to obtain the extent of goodness from the emotion they feel in reality. Toegye thought the extent of goodness is being obtained by Li[理], Yulgok thought it by Chi[氣]. But Four Bases[四端] as goodness from Li[理] would possibly threat the human identity, and the emotion of appropriateness as goodness from Chi[氣] doesn't even prove itself that it is appropriate. They explain the problems and answers through Theory of Human Mind?Moral Mind. Toegye explains that Moral Mind is meaningful as it make people identify themselves as moral existence, Yulgok explains Moral Mind is meaningful that it satisfies standard of appropriateness. While Toegye and Yulgok define Moral Mind and Human Mind as emotion of Yi-fa[已發], Chutzu defines Moral Mind and Human Mind as consciousness. and he defines consciousness as 'preparing Li(理) and practicing the emotion'. So according to Chutzu, Moral Mind and Human Mind derives the reaction from the Li(理) in order to respond to the external stimulation. Supervision of mind is completed by consciousness of Moral Mind. It means that mind not limited to Yi-fa[已發]. Then we should think that Toegye and Yulgok's Theory of Human Mind?Moral Mind is something newly resulted from their own philosophic problem. Toegye and Yulgok's Theory of Human Mind?Moral Mind is commonly explaining human mind in experiential aspect, and it will be esteemed as definite and realistic theory of Mind because it emphasizes willingness which motivates an essential activity.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2003.11a
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• pp.121-124
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• 2003

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2003.11a
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• pp.61-65
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• 2003

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.11a
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• pp.94-95
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• 2011

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1998.04a
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• pp.224-229
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• 1998

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.12a
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• pp.46-50
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• 2001

Voice is one of the most efficient communication media and it includes several kinds of factors about speaker, context emotion and so on. Human emotion is expressed in the speech, the gesture, the physiological phenomena (the breath, the beating of the pulse, etc). In this paper, the method to have cognizance of emotion from anyone's voice signals is presented and simulated by using neuro-fuzzy model.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.05a
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• pp.268-282
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• 2000

Speech is one of the most efficient communication media and it includes several kinds of factors about speaker, context emotion and so on. Human emotion is expressed in the speech, the gesture, the physiological phenomena(the breath, the beating of the pulse, etc). In this paper, the method to have cognizance of emotion from anyone's voice signals is presented and simulated by using neuro-fuzzy model.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.10a
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• pp.265-270
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• 2001

Voice is one of the most efficient communication media and it includes several kinds of factors about speaker, context emotion and so on. Human emotion is expressed in the speech, the gesture, the physiological phenomena(the breath, the beating of the pulse, etc). In this paper, the method to have cognizance of emotion from anyone's voice signals is presented and simulated by using neuro-fuzzy model.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.1
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• pp.73-79
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• 2010

Emotion intelligence computing is able to processing of human emotion through it's studying and adaptation. Also, Be able more efficient to interaction of human and computer. As sight and hearing, music & image is constitute of short time and continue for long. Cause to success marketing, understand-translate of humanity emotion. In this paper, Be design of check system that matched music and image by user emotion keyword(irritability, gloom, calmness, joy). Suggested system is definition by 4 stage situations. Then, Using music & image and emotion ontology to retrieval normalized music & image. Also, A sampling of image peculiarity information and similarity measurement is able to get wanted result. At the same time, Matched on one space through pared correspondence analysis and factor analysis for classify image emotion recognition information. Experimentation findings, Suggest system was show 82.4% matching rate about 4 stage emotion condition.