• The Journal of Korean Academy of Sensory Integration
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• v.14 no.1
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• pp.50-59
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• 2016

Objective : The goal of this study was to investigate neurological mechanism of emotional regulation and to examine the relationship between the regulation and sensory processing. Subjective : Emotional regulations are mainly processed in limbic system, particularly the basal-lateral group of amygdala takes on a major role in the regulations. The basal-lateral group of amygdala links to thalamus directly and/or indirectly which processes sensory information together. This sensory information connects to orbital and medial prefrontal cortex. Inadequate sensory processing may cause difficulties in emotional regulations and behaviors because of a circuit linking the amygdala, the thalamus, and the orbital and medial prefrontal cortex. These difficulties and impairments has been reported in neurological studies for children with ASD and ADHD. Conclusion : Neurological states are different between the normal children and children with ASD and ADHD and these represent various aspects in sensory processing, emotional regulations and behaviors. Thus, therapists working with children with ASD and ADHD need to understand mechanisms of sensory processing and emotional regulations in order to provide adequate treatments.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.1
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• pp.116-122
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• 2010

As the importance of HCI(Human-Computer Interface) caused by dramatically developed computer technology is getting high, the requirement for the design of human friendly systems is also getting high. First of all, the personality and Emotional factor should be considered for implementing more human friendly systems. Many studies on Knowledge, Emotion and personality have been made, but the combined methods connecting these three factors is not so many investigated yet. It is known that memorizing process includes not only knowledge but also the emotion and the emotion state has much effects on the process of reasoning and decision making step. Accordingly, for implementing more human friendly efficient sophisticated intelligent system, the system considering these three factors should be modeled and designed. In this paper, knowledge-emotion reaction model was designed. Five types are defined for representing the personality and emotion reaction mechanism calculating emotion vector based on the extracted Thought threads by Type matching selection was proposed. This system is applied to the virtual memory and its emotional reactions are simulated.

• Journal of Korean Philosophical Society
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• v.144
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• pp.371-398
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• 2017

The emotions that Aristotle treats in Rhetoric II 2-11 are broadly divided into two groups: the one is the so-called basic emotions, the other the emotions that are opposed to them. The reason that he draws attention to the opposite emotions is that, for example, angry judges must be placed in an opposite state. The question is whether the calmness treated in Rhetoric II 3 is an emotion. Because it is treated in the Ethics as a virtue and thus as a trait of character. How is calmness distinguished as an emotion from that as a virtue? And in what way is it opposed to anger? In short, what is the calmness, inasmuch as it is an emotion? This is the question which is the task of this work. The thesis asserted in this paper is that calmness is the disposition to do a service for another that results from praise or some other act that enhances a belief in one's worth. To substantiate the thesis, the following questions are discussed. The first question is whether the calmness could also contain proportions of pleasure and pain. The question also arises whether it could be also treated properly according to the standard 'target person-intentional object-mental state'. Finally, there is a comparison between the concept of calmness in the Ethics and Rhetoric, so that the latter concept places itself in the foreground.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.305-311
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• 2019

Does the healing of life lead to a grave, or can death heal life? The healing in life exists in the emotional circuit of the space of life. So what kind of space does healing in death exist? For now, healing in death exists beyond life. Imje (林悌, 1549-1587) is famous for reciting Sadness Sijo in his beloved Hwang Jin-yi's Grave. For the Literature Therapy, this time we're trying to code the Emotions of Sijo "The Valley Which is Covered With Blue Grass", which Imje is said to have recited in the Hwang Jin-yi's Grave. This Sijo sings the love of Sadness such as Love and Death, Grave and Sadness. That is, how fuse human Emotions, which are caused by conflicting concepts of love and pain or love and separation. Imje's Sijo fuses signifiers such as Grave, Love and Sadness to code 'The Transience of Human Life.' This 'The Transience of Human Life' is a function of this Sijo's Literature Therapy. 'The Transience of Human Life' has a role of healing that relaxes the human body. With the Literature Therapy in place like this, no matter how painful life is, we have some leeway. This is because the sadness of 'The Transience of Human Life' delivered by Sijo conveys the effect of the Literature Therapy, which contemplate and tolerate the entire life. We look forward to continuing this research and achieving Emotion Coding for new life.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.05a
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• pp.225-228
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• 2003

인간은 두뇌의 일부를 이용하여 감각 정보를 수집하고 이에 대한 분석 및 판단을 행한 후에 행동을 취하는 일반적인 과정에 의해, 느끼고 생각하고 말한다. 이런 일련의 과정은 신경생리학적으로 밝혀진 바에 의하면, 대뇌의 시상에 분포한 일차 감각영역에서 감각 정보를 수집한다. 수집된 감각 정보는 과거 기억과의 비교를 통해 인식되고 인식된 정보는 일차 운동영역으로 전달되어 행동으로 나타난다. 수집된 감각 정보를 판단하는 기관은 감각 연합 영역으로 알려져 있으며, 과거 정보를 통해 비교하여 판단하는 방식이다. 본 논문에서는 신경회로망의 적응적 학습 기법을 통해 입력된 감각 정보에 대한 추론 과정에 감정의 변화를 고려하는 학습 모델을 제시하고자 한다. 감정을 고려하지 않은 경우에 비해, 동일한 감각 입력에 대해 감정에 따라 차별화된 행동을 결정할 수 있는 학습 모델을 설정함으로써 단순한 감각 정보 처리의 차원을 극복하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.690-691
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• 2024

본 논문에서는 특정 서비스군의 소비자 니즈를 신속히 파악하기 위하여 일기와 같은 자연언어 텍스트를 활용한 분류 모델을 개발한다. 목적에 맞는 감정상태군을 정의하여 필수적인 감정들로 통합한 후 주어진 데이터셋에서 해당 감정 컬럼을 추출하여 텍스트 형식을 통일한다. 파이썬의 Keras 라이브러리를 사용하여 임베딩 레이어, LSTM 레이어, 밀집 레이어 등으로 학습 네트워크를 구성한 후 추출된 텍스트로 학습한 결과는 15회의 이포크 수행으로 98%의 정확도에 도달한다.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.48 no.4
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• pp.54-62
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• 2011

Emotional reaction should be different from the purpose of the robot system. The method for emotional reaction is also different from the specification of the robot system. Therefore, emotional behavior decision model, which is applied to social robots regardless of specifications and purposes, is necessary. This paper introduces a universal emotional behavior decision model designed for applying to various social robots that have different specifications and purposes. Multiple emotions, a set of probability value of every emotion, are calculated independently and expressed according to the purpose of the robot system. Then, behavior, for emotional reaction according to the calculated multiple emotions, is decided regarding the specification of the robot system. The decided behavior is a combination of unit behaviors that indicates the smallest expressible behaviors in each expression parts. It is possible to express various undefined behaviors by generating unit behavior combinations according to multiple emotions. The universal emotional behavior decision model is applied to three kinds of social robot systems that have different specifications and purposes.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.5
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• pp.371-377
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• 2003

In this paper, comparison of feature parameters for emotion recognition using speech signal is studied. For this purpose, a corpus of emotional speech data recorded and classified according to the emotion using the subjective evaluation were used to make statical feature vectors such as average, standard deviation and maximum value of pitch and energy and phonetic feature such as MFCC parameters. In order to evaluate the performance of feature parameters speaker and context independent emotion recognition system was constructed to make experiment. In the experiments, pitch, energy parameters and their derivatives were used as a prosodic information and MFCC parameters and its derivative were used as phonetic information. Experimental results using vector quantization based emotion recognition system showed that recognition system using MFCC parameter and its derivative showed better performance than that using the pitch and energy parameters.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.4
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• pp.76-81
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• 2009

We propose an effective emotion recognition algorithm based on the minimum classification error (MCE) incorporating multi-modal system The emotion recognition is performed based on a Gaussian mixture model (GMM) based on MCE method employing on log-likelihood. In particular, the reposed technique is based on the fusion of feature vectors based on voice signal and galvanic skin response (GSR) from the body sensor. The experimental results indicate that performance of the proposal approach based on MCE incorporating the multi-modal system outperforms the conventional approach.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.5
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• pp.134-139
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• 2008

In this paper, we propose a story generation system using multi emotional agents. The proposed multi emotional agents are equipped with multiple emotional model so that it can be used as individually personalized agents that can generates unique storylines. Basically these kinds of multi emotional agents are easily employed as Avatar or NPC in computer games. In the proposed system, emotional agents are used as actor or actress whose characters and preferences are different each other. The storylines generated using the proposed system are realistic since the characters are emotional as humans.