• Science of Emotion and Sensibility
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• v.15 no.1
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• pp.57-64
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• 2012

The purpose of this study was to compare the visual sensibility of red shirts in university students of two countries, Korea and China in order to suggest the color planning for shirts. Seven tonal red shirts' visual sensibility and preferences were evaluated by the students of Korea and from China in the sense of sight. Evaluated data were analyzed by using frequency analysis, average, factor analysis and t-test. The visual sensibility of red shirts was classified into three factors: sporty, romantic and classic. Those factors of visual sensibility showed a significant difference according to nationality and gender. The Chinese students had a more sporty feel to the strong tone, and a more classic feel to the dark tone than the Korean students. The deep tone red shirts was reputed to be more romantic by the Korean students, but the light tone and the pale tone were considered more romantic by the Chinese students. Meanwhile, the effects of nationality and gender on seven tone of preferences for red shirts was significantly differed.

• Smart Media Journal
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• v.13 no.3
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• pp.9-17
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• 2024

Due to the recent pandemic and the development of ICT technology, the use of non-face-to-face and unmanned systems is expanding, and it is very important to understand emotions in communication in non-face-to-face situations. As emotion recognition methods for various facial expressions are required to understand emotions, artificial intelligence-based research is being conducted to improve facial expression emotion recognition in image data. However, existing research on facial expression emotion recognition requires high computing power and a lot of learning time because it utilizes a large amount of data to improve accuracy. To improve these limitations, this paper proposes a method of recognizing facial expressions using age and gender, which are image meta information, as a method of recognizing facial expressions with even a small amount of data. For facial expression emotion recognition, a face was detected using the Yolo Face model from the original image data, and age and gender were classified through the VGG model based on image meta information, and then seven emotions were recognized using the EfficientNet model. The accuracy of the proposed data classification learning model was higher as a result of comparing the meta-information-based data classification model with the model trained with all data.

• The Journal of Korean Academic Society of Nursing Education
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• v.19 no.2
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• pp.151-162
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• 2013

Purpose: This study was to deduce the changes of communication style and relationship patterns via self-analysis after Satir communication education for undergraduate nursing students. Methods: Thirty seven students participated in this study. The age of participants was 20 ~ 22 years and all of them were female students. Before the first semester and after the last class in 2011, we collected an evaluation from students of how their own communication style and relationship patterns changed. Using qualitative content analysis method, the data were analyzed. Results: After qualitative contents analysis, five change-related themes and 16 experience-related subjects emerged. Five themes were from self-contentment to discreet, from behavior of speaking and listening to understanding, from agreement to empathy, from your fault to my fault, and from feeling emotion to expressing emotion. Conclusion: From the results of this study, we found the essential points of changes for communication and relation ship experiences after Satir communication education and self-reflection could reinforce change in undergraduate nursing students' experiences.

• Korean Journal of Adult Nursing
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• v.28 no.5
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• pp.585-594
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• 2016

Purpose: The purpose of this study was to develop and test a predictive model on the male nurses' turnover intention. Methods: This study utilized the model-testing design based on the Price's causal model of turnover. This study collected data from 306 male nurses on a national scale with structured questionnaires measuring job opportunity, kinship responsibility, positive emotion, work autonomy, role conflict, work satisfaction, organizational commitment, and turnover intention. The data were analyzed using SPSS/WIN 22.0 program and AMOS 20.0 program. Results: As the outcomes satisfied the recommended level, the hypothetical model appeared to fit the data. Twenty-seven of the 38 hypotheses selected for the hypothetical model were statistically significant. 54.2% of turnover intention was explained by job opportunity, kinship responsibility, positive emotion, work autonomy, role conflict, work satisfaction and organizational commitment. Conclusion: The hypothetical model of this study was confirmed to be adequate in explaining and predicting male nurses' turnover intention. Findings from this study can be used to design appropriate strategies to decrease the male nurse's turnover intention.

• Science of Emotion and Sensibility
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• v.5 no.1
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• pp.33-48
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• 2002

This research aimed to (1) study the possibility of DMDI (i.e. ; digitalwear based on motion-detective input technology) as apparel product in young market, (2) to develop appropriate design of DMDI. In part I of this research, a deth-interview method developed on the assumption of design ethnography, and domain analysis were applied to analyze the consumers'latent demands and needs related to DMDI. Based on the result of analysis, the seven feasible applications and six design directions for DMDI were suggested.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.6
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• pp.277-283
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• 2018

Some innovative researchers have had a dream of self-thinking intelligent computer. Alphago, at last, showed its possibility. With it, most computer engineers including even students can learn easily how to do it. As the interest to the deep learning has been growing, people's expectation is also naturally growing. In this research, we tried to enhance the game ability of a 7-poker system by applying machine learning techniques. In addition, we also tried to apply emotion analysis of a player to trace ones emotional changes. Methods and outcomes are to be explained in this paper.

• The Journal of Korean Medical History
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• v.18 no.2
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• pp.55-62
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• 2005

In "Lingshu Benshen". five vicera are damaged due to changes in emotion having qi flow opposite to five viscera. As a result, it suggests that mental and physical illness could develop. The content of this piece can be explained in relation to five elements but uniformly through qi's flow. The contents can be summarized as follows. 1. The Heart is fire among the five elements and mainly characterized with dispersing. The flow of its qi is characterized facing upward and outward. On the other hand, being afraid or thinking seriously is characterized by making qi to go downward and stop so that the flow of qi is mainly facing toward inward and downward, damaging the heart. 2. The spleen has the conveyance function and spreads qi. On the other hand, worry and emotion inhibit qi function, blocking qi, damaging the spleen. 3. The liver has dispelling and removing functions and the power of sending up. The qi flow goes toward upward and outward. On the other hand, sadness stagnates qi, preventing the flow of liver's qi, damaging the liver. As a result, work is not done accurately. Madness develops with heat accumulated with qi stagnation. When qi is not sending up, mentality is not clear, leading to forgetfulness. 4. The lung has astringent and sending down functions, lowering qi. On the other hand, happy and joyful emotions bring up qi, showing the opposite flow of qi compared with the lung, damaging the lung. 5. The kidney has closing and storing functions, making qi flow to downward and inward. On the other hand, being angry makes qi to go up. Excessive expression of anger damages the kidney. As a result, the yin function of kidney does not work properly, leading to forgetfulness.

• Journal of Oriental Neuropsychiatry
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• v.33 no.1
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• pp.1-19
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• 2022

Objectives: The objective of this study was to confirm the Chiljeong (七情) characteristics of Hwa-byung patients using the core seven-emotions inventory-short form. Methods: We conducted a retrospective observational study based on the electronic medical records from a Korean medicine hospital. We included patients who were diagnosed with Hwa-byung and examined with Core Seven-Emotions Inventory-short Form (CSEI-S) during hospitalization periods. We presented the characteristics of Hwa-byung by demographic information, CSEI-S, Hwa-byung scale, and Korean Symptom Checklist 95. A correlation analysis was performed between CSEI-S and other clinical and psychological characteristics. Results: The Chiljeong characteristics of Hwa-byung were high in the order of Sorrow (悲), Thought (思), Fear (恐), Fright (驚), Depression (憂), Joy (喜), and Anger (怒). There was no significant difference between each emotion. After combined Korean medical treatment, Sorrow (悲) and Thought (思) significantly decreased. There were static correlations between sorrow (悲) and fright (驚), thought (思) and sorrow (悲), depression (憂) and sorrow (悲), depression (憂) and fright (驚), thought (思) and depression (憂), fear (恐) and fright (驚), anger (怒) and thought (思), thought (思) and fright (驚), sorrow (悲) and fear (恐). Sorrow (悲) and Hwa-byung characteristics scale showed static correlation. Joy (喜) showed a static correlation with disharmony between the heart and kidney scores of the Hwa-byung pattern identification. Between KSCL-95 and CSEI-S, static correlation appeared in depression (憂) with depression, anxiety, and sleep problem scale, sorrow (悲) with depression and anxiety, fright (驚) with depression and obsessive symptoms. Conclusions: Despite several limitations due to the study design and small sample size, this research successfully used CSEI-S to study the Chiljeong (七情) characteristics of Hwa-byung for the first time.

• Journal of Haehwa Medicine
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• v.9 no.2
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• pp.277-292
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• 2001

1. The obesity is the aggregation of symptoms accompanied with the metabolic disorder and the increase of fatty layer accumulation by the enlargement or increase of fatty cells, which is the condition that has 20% overweight than the standard. 2. The final metabolic of fat depends on the defensive energy. The shape of fatty layer is changed by the point where is the defensive energy is replenish or not. So Goin, Bein and Yuckin is made a discriminated and there is different between Besudaeso and Herlgidaso. 3. In case of liver overacting spleen by seven emotions, we can use reinforcing the spleen and don't use depressing energy. 4. Damp, weakness of Qi(氣), weakness of spleen came from seven emotion, and social stress can occur obesity. Obesity is reason of C.V.A, dizziness, dementia, schizophrenia, etc. 5. The obesity which can occurs various adult diseases came from eating disorder and various stresses at the standpoint of western medical. This is cured by diet, kinesiatrics, operation, pharmacotherapy, etc.

• Journal of KIISE:Software and Applications
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• v.27 no.8
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• pp.827-833
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• 2000

Facial expression is an effective tool to express human emotion. In this paper, a facial expression analysis method based on the base faces and their blending ratio is proposed. The seven base faces were chosen as axes describing and analyzing arbitrary facial expression. We set up seven facial expressions such as, surprise, fear, anger, disgust, happiness, sadness, and expressionless as base faces. Facial expression was built by fitting generic 3D facial model to facial image. Two comparable methods, Genetic Algorithms and Simulated Annealing were used to search the blending ratio of base faces. The usefulness of the proposed method for facial expression analysis was proved by the facial expression synthesis results.