• 반도체디스플레이기술학회지
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• 제12권3호
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• pp.53-57
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• 2013

Human emotions are expressed in various ways. It can be expressed through language, facial expression and gestures. In particular, the facial expression contains many information about human emotion. These vague human emotion appear not in single emotion, but in combination of various emotion. This paper proposes a emotional expression algorithm using Active Appearance Model(AAM) and Fuzz k- Nearest Neighbor which give facial expression in similar with vague human emotion. Applying Mahalanobis distance on the center class, determine inclusion level between center class and each class. Also following inclusion level, appear intensity of emotion. Our emotion recognition system can recognize a complex emotion using Fuzzy k-NN classifier.

• 융합신호처리학회논문지
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• 제12권4호
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• pp.228-236
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• 2011

Emotion recognition plays an important role in the research area of human-computer interaction, and it allows a more natural and more human-like communication between humans and computer. Most of previous work on emotion recognition focused on extracting emotions from face, speech or EEG information separately. Therefore, a novel approach is presented in this paper, including face, speech and EEG, to recognize the human emotion. The individual matching scores obtained from face, speech, and EEG are combined using a weighted-summation operation, and the fused-score is utilized to classify the human emotion. In the experiment results, the proposed approach gives an improvement of more than 18.64% when compared to the most successful unimodal approach, and also provides better performance compared to approaches integrating two modalities each other. From these results, we confirmed that the proposed approach achieved a significant performance improvement and the proposed method was very effective.

• 한국도서관정보학회지
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• 제35권2호
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• pp.243-272
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• 2004

이 연구에서는 마음상함이란 무엇이며, 가정의 중심에 있는 여성, 즉 우리나라 주부의 마음상함의 여러 가지 요인에 대해 살펴본다. 이어서 마음상함을 치유하기 위한 방법으로 독서치료의 가능성을 알아본다. 끝으로 마음 상한 주부를 위한 독서치료 프로그램 계획에 대해 살펴본다. 먼저 독서치료 환경으로서 공공도서관의 적합성에 대해 살펴보고, 그런 다음 그 구체적인 프로그램 계획을 세워본다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2001년도 하계종합학술대회 논문집(5)
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• pp.227-230
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• 2001

We, Human beings, use both powers of reason and emotion simultaneously, which surely help us to obtain flexible adaptability against the dynamic environment. We assert that this principle can be applied into the general system. That is, it would be possible to improve the adaptability by covering a digital oriented information processing system with an analog oriented emotion layer. In this paper. we proposed a vertical slicing model with an emotion layer in it. And we showed that the emotion-based control allows us to improve the adaptability of a system at least under some conditions.

• 인지과학
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• 제7권3호
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• pp.61-80
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• 1996

본 논고에서는 기억 현상으로서의 정서와 기억에 미치는 정서 효과에 관한 연구들을 살펴보았다.기억과 정서사이의 다양한 연구들 중에서 정서를 수반하는 사건에 대한 기억, Bower(1982)의 의미망 모형과 제한점,암묵적 기억과 정서 사이의 관계, 그리고 정서가 자서전적 기억에 미치는 영향 등을 알아 보았다.이들을 종합해 보면,정서란 단지 하나의 하위 마디로서 의미망에 표상되는 것이 아니라,좀더 상위 수준의 내포적 의미 체계에 저장되어 여러기억 현상들에 영향을 미칠 수 있을 것이라는 점을 시사한다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2006년도 하계종합학술대회
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• pp.927-928
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• 2006

In this paper, we propose a dynamic emotion system involving the state equation and the output equation from the control theory. In our emotion system, the state equation accepts external stimulus and generates emotions. And the output equation modifies the intensity of emotions in accordance with personalities and circumstances. The validity of the proposed emotion system is shown by two simulation works which express emotions according to personalities and circumstances.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2021년도 추계학술발표대회
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• pp.528-531
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• 2021

Nowadays recommendation systems are so ubiquitous, where our many decisions are being done by the means of them. We can see recommendation systems in all areas of our daily life. Therefore the research of this sphere is still so active. So far many research papers were published for clothing recommendations as well. In this paper, we propose the clothing-recommendation system according to user emotion and weather information. We used social media to analyze users' 6 basic emotions according to Paul Eckman theory and match the colour of clothing. Moreover, getting weather information using visualcrossing.com API to predict the kind of clothing. For sentiment analysis, we used Emotion Lexicon that was created by using Mechanical Turk. And matching the emotion and colour was done by applying Hayashi's Quantification Method III.

• Journal of information and communication convergence engineering
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• 제20권3호
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• pp.174-180
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• 2022

Emotion recognition is an essential component of complete interaction between human and machine. The issues related to emotion recognition are a result of the different types of emotions expressed in several forms such as visual, sound, and physiological signal. Recent advancements in the field show that combined modalities, such as visual, voice and electroencephalography signals, lead to better result compared to the use of single modalities separately. Previous studies have explored the use of multiple modalities for accurate predictions of emotion; however the number of studies regarding real-time implementation is limited because of the difficulty in simultaneously implementing multiple modalities of emotion recognition. In this study, we proposed an emotion recognition system for real-time emotion recognition implementation. Our model was built with a multithreading block that enables the implementation of each modality using separate threads for continuous synchronization. First, we separately achieved emotion recognition for each modality before enabling the use of the multithreaded system. To verify the correctness of the results, we compared the performance accuracy of unimodal and multimodal emotion recognitions in real-time. The experimental results showed real-time user emotion recognition of the proposed model. In addition, the effectiveness of the multimodalities for emotion recognition was observed. Our multimodal model was able to obtain an accuracy of 80.1% as compared to the unimodality, which obtained accuracies of 70.9, 54.3, and 63.1%.

• 대한통합의학회지
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• 제4권1호
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• pp.65-72
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• 2016

Purpose : This study was carried out to find out the relationship between emotion intelligence, learning flow and career stress of nursing students and influence factors for career stress. Methods : This study targeted 197 university students in their freshman-senior year attending College of Nursing located in P Metropolitan City. For collected data, real numbers and percentage, mean and standard deviation and multiple regression analysis were carried out by using PASW 21.0 program and the correlation between emotion intelligence, learning flow and career stress was analyzed with Pearson's correlation coefficients. Results : Emotional self-awareness(M=3.80, SD =.71), clear goals(M=3.39, SD=.90) and school environment stress(M=2.97, SD=.96) were found to be high in the degree of emotion intelligence, learning flow and career stress of the subjects. The relationship between emotion intelligence and learning flow showed a positive correlation(r=.489, p<.01) in the correlation between emotion intelligence, learning flow, career stress and emotion intelligence showed a negative correlation with career stress(r=-.204, p<.01). Emotion intelligence and learning flow show that career stress is predicted significantly (${\beta}$ =-.15, p < .01) and explained a career stress variate as 18%(F = 24.5, p < .01). Conclusion : Emotion intelligence of nursing students was found to be very influential on the degree of learning flow or career stress. Based on the results of this study, replication studies on emotion intelligence and career stress are needed and the development of intervention programs to increase emotion intelligence is needed.

• 한국문헌정보학회지
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• 제32권4호
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• pp.105-115
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• 1998

인터넷의 확산과 더불어 엄청난 사용자의 증가는 인터넷을 단순히 정보 검색의 대상으로만 삼는 것이 아니라 일반인들의 여가 문화를 즐기는 장이 되어가고 있다. 이와 같은 요구로 감정기반 문서 검색 및 분류 시스템을 제안한다. 이 시스템을 ECRAS라고 부른다. 감정 성분 추출은 로젯의 시소러스와 워드넷을 통해 이루어졌다. 감정 성분을 추출한 문서는 k-NN 기법을 기반으로 검색을 수행한다.