• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.79-86
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• 2020

In this paper, we propose an efficient emotional relaxation framework using Dijkstra algorithm based on anisotropic features. Emotional relaxation is as important as emotional analysis. This is a framework that can automatically alleviate the person's depression or loneliness. This is very important for HCI (Human-Computer Interaction). In this paper, 1) Emotion value changing from facial expression is calculated using Microsoft's Emotion API, 2) Using these differences in emotion values, we recognize abnormal feelings such as depression or loneliness. 3) Finally, emotional mesh based matching process considering the emotional histogram and anisotropic characteristics is proposed, which suggests emotional relaxation to the user. In this paper, we propose a system which can recognize the change of emotion easily by using face image and train personal emotion by emotion relaxation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.985-987
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• 2010

In this paper, we propose a maximum entropy-based emotion recognition model using individual average difference. In order to accurately recognize an user' s emotion, the proposed model utilizes the difference between the average of the given input physiological signals and the average of each emotion state' signals rather than only the input signal. For the purpose of alleviating data sparse -ness, the proposed model substitutes two simple symbols such as +(positive number)/-(negative number) for every average difference value, and calculates the average of physiological signals based on a second rather than the longer total emotion response time. With the aim of easily constructing the model, it utilizes a simple average difference calculation technique and a maximum entropy model, one of well-known machine learning techniques.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.894-897
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• 2008

The stress is an unavoidable result and a complex phenomenon in modem society. too, Human activity changes under control of the stress. The stress is a reaction to adrenalin or other stress hormones. It provides the power for fighting and the energy for going away from dangers. Because of the stress, our bodies increase the pulse, the blood pressure and the breath for more blood and more oxygen. So, in this research, we are measuring those which was increased by the stress. Also we will examine the change of HRV and APG on music. After that, in order to reduce the stress, we will design matching system that is based on the sense for music by using Zigbee.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.555-566
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• 2020

The Purpose of this study is to examine the effect of emotional intelligence, resilience, and communication style on stress coping in college students. The research problems were verified by correlation analysis and multivariate regression analysis. A questionnaire survey was conducted on 303 college students. The findings are as follows. First, college students who have high emotional intelligence show more problem-focused coping and social-support seeking coping in stressful conditions. Particularly, it is found that managing emotion in emotional intelligence has the greatest effect on problem-focused coping and social-support seeking coping, using emotion influences emotion-focused coping. Second, college students who have high resilience are also found more problem-focused coping and social-support seeking coping in stressful conditions. Especially it is found that controllability has the greatest effect on problem-focused coping, positivism influences wishful thinking coping. Similarly, sociability influences social-support seeking coping and emotion-focused coping. Third, those students who was androgynous with high assertiveness and responsiveness used more frequently the problem-focused coping, those who was feminine with high responsiveness used more frequently the social-support seeking coping and wishful thinking coping.

• Journal of Hospice and Palliative Care
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• v.18 no.2
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• pp.112-119
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• 2015

Purpose: The purpose of this study was to explore the level of occupational stress and emotional intelligence in hospice volunteers. Methods: Participants were 158 hospice volunteers at hospitals in B city. Occupational stress, emotional intelligence, and general characteristics of hospice volunteers were measured. The data were analyzed with descriptive statistics, t-tests, ANOVA, and Pearson's correlation coefficients. Results: The mean score for occupational stress was 2.16 points out of 4 and 4.65 out of 7 for emotional intelligence. The scores for occupational stress and emotional intelligence were significantly different by educational level and monthly income in hospice volunteers. Occupational stress was negatively correlated with emotional intelligence (r=-0.196, P=0.013). Conclusion: A continuous educational program is needed to offer volunteers with new hospice-related trends. To ensure quality care for patients and their families, it should be helpful to encourage hospice volunteers to build a social network to enhance their emotional intelligence.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.19-26
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• 2023

In this study, the public sensitivity of the 'MZ generation' was examined through the social media big data sensitivity analysis method. For the analysis, the consumer account SNS text was examined, and positive and negative emotional factors were presented by classifying external sensibilities and emotions of the MZ generation. In conclusion, the positive emotions of liking and interest in relation to the "MZ generation" were 72.1%, higher than the negative emotional ratio of 27.9%. In positive sensitivity, the older generation showed 'a favorable feeling for the individuality and dignifiedness of the MZ generation' and 'interest in the MZ generation with new values'. In contrast, the MZ generation has a favorable feeling for 'the fact that they are a generation of their own boldness, youthfulness and individuality' and 'small growthism'. Negative sensitivity outside the MZ generation was found to be 'A concern about the marriage avoidance, employment difficulties, debt investment, and resignation trends of the MZ generation', 'Hate the MZ generation who treats Kkondae' and 'Difficult to talk to the MZ generation'. On the other hand, the negative emotions felt by the MZ generation itself were 'Rejection of generalization', 'Rejection of generation and gender conflicts', 'Rejection of competition worse than the older generation', 'Relative failure of the rich era', and 'Sadness to live in a predicted climate disaster'. Therefore, the older generation should not look at the MZ generation in general, but as individuals, and should alleviate conflicts with intergenerational understanding and empathy. there is a need for community consideration to solve generational conflicts, gender conflicts, and environmental problems.

• Journal of the Korea Society of Computer and Information
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• v.20 no.6
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• pp.127-140
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• 2015

In this study, we aim to analyze the relationship between the centrality in the social network and the sentiment of medial web forum users. In recent, many people use online resources to obtain health and wellness information especially social media resources. In the medial web forum, people give and receive informational supports and emotional supports and this interaction forms the social network. We analyze the social network, derive node characteristics in terms of centrality and compare the centrality index and the sentiment score derived from users' messages. We found that as more people express their emotion, they possess higher central position in the network. Further, people who express positive emotion in their messages have higher central position in the network than people who have negative emotion. This study will help to identify influentials of emotional supports to others and finally to control the depression of Alzheimer's disease patients and their related ones.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.7
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• pp.162-174
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• 2017

This study is descriptive research conducted to determine the levels of depression, emotional intelligence, and psychological well-being of nurses employed in small-and medium-sized hospitals, as well as to identify the correlations of these variables, predict factors influencing nurses' psychological well-being, and finally, test the mediating effects of emotional intelligence in the relationship between depression and psychological well-being. The subjects of the study included 336 nurses employed in small-and medium-sized hospitals located in the Daegu-Gyeongbuk region. Using a structured questionnaire, a sample was taken from December 17, 2016 to January 8, 2017. The results that the nurses showed an average level of depression with a mean score of 1.55 points, while their mean scores of emotional intelligence and psychological well-being were above average (3.05 and 3.51 scores, respectively). Depression exhibited negative (-) correlations with emotional intelligence and psychological well-being, whereas emotional intelligence had a positive (+) correlation with psychological well-being. The significant predictors of psychological well-being were found to include sleep hours (${\beta}=0.111$), working department (${\beta}=0.236$), and depression (${\beta}=-0.245$). Moreover, evaluation of the mediating effects of emotional intelligence revealed significant relationships between depression and regulation of emotion (${\beta}=0.527$) and between depression and emotional utilization (${\beta}=0.167$). In conclusion, the work environment and depression were predicted to be major factors influencing psychological well-being, while emotional intelligence was found to be a partially mediating factor. Overall, these results demonstrate that easing depression and improving emotional intelligence can be very positive countermeasures in revitalizing the hospital organization, as well as in ensuring the happiness of individual nurses. Therefore, interventions aimed at improving work environments and easing depression are required to improve nurses' psychological well-being.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.03a
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• pp.147-152
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• 1999

We have measured viscoelastic properties of fabrics in thickness direction. We assume that Maxwell model is very useful in stress relaxation of viscoelastic theories and appropriate formulas for fabric are calculated. Measurement system constitute of high precession load cell, translator and laser displacement sensor for viscoelastic properties was designed and elastic coefficients and damping coefficients were measured for 10 fabric samples. Elastic coefficients measured were 19~25 kN/㎡ and Damping coefficients measured were 4.8~8.7 MN$.$s/㎡. We concluded that these coefficients are good related with FUKURAMI collected from KESF system

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.243-246
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• 2019

본 논문에서는 감성과 힐링, 머신러닝이라는 주제를 바탕으로 딥러닝을 통한 사용자의 얼굴표정을 인식하고 그 얼굴표정을 기반으로 음악을 재생해주는 얼굴표정 기반의 음악재생 프로그램을 제안한다. 얼굴표정 기반 음악재생 프로그램은 딥러닝 기반의 음악 프로그램으로써, 이미지 인식 분야에서 뛰어난 성능을 보여주고 있는 CNN 모델을 기반으로 얼굴의 표정을 인식할 수 있도록 데이터 학습을 진행하였고, 학습된 모델을 이용하여 웹캠으로부터 사용자의 얼굴표정을 인식하는 것을 통해 사용자의 감정을 추측해낸다. 그 후, 해당 감정에 맞게 감정을 더 증폭시켜줄 수 있도록, 감정과 매칭되는 노래를 재생해주고, 이를 통해, 사용자의 감정이 힐링 및 완화될 수 있도록 도움을 준다.