• The Journal of the Korea Contents Association
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• v.9 no.4
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• pp.162-171
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• 2009

In directing a film, aesthetics are use for visual manifestation of narratives to audiences. Especially, colors have important roles in that process to express emotions and to convey the story. For 3D animation, they may play even more important roles due to the nature of colors being generated by computers. This paper studies the relationship between narratives and colors by analyzing how colors change by the rise and fall of tensions in narratives, and by investigating how emotional expressions are affected due to color changes.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.4
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• pp.183-192
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• 2010

Digital communities' spaces have been very popular through communication contents provide entertainment and usability. Emoticons provide simply emotional expressions and intension, so they weakly convey a realistic sense as they are designed by 2D graphics. However, 3D Avatars presented by 3D Computer Graphics make users interesting because of delivering senses of reality and three-dimension and amuse users because of representing their characters. It is the purpose of this study to analyze design examples of emoticons and avatars applying to personal messengers and propose the development of them. In addition, this paper researches various characteristics of emoticons and avatars for web and mobile phones, and suggests a strategy to usefully and properly apply emoticons and avatars to design.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.3
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• pp.682-695
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• 2015

The purpose of this study was to identify subjective perception types on anger expression among female nursing students and to investigate characteristics according to the subjective perception types. In order to achieve this purpose, the study used Q-methodology. There were 30 study participants and they completed the Q-sort activity, rating each statement relative to the others using 32 Q statements. The data were analyzed using the QUANL PC program. There were three types of forms extracted from anger expressions among female nursing students; a type on 'embracive soothing', a type on 'reasonable expression', and a type on 'ambivalence over emotional expression'. The commonality of the three types were: talking about their anger emotions with others, asking for help in religion and pushing their opponent. Therefore, Adequate strategies based on anger expression types need to be developed to resolve anger among female nursing students.

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.831-834
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• 2000

The sign-language tan be used a9 an auxiliary communication means between avatars of different languages. At that time an intelligent communication method can be also utilized to achieve real-time communication, where intelligently coded data (joint angles for arm gestures and action units for facial emotions) are transmitted instead of real pictures. In this paper we design a gesture-emotion keyframe editor to provide the means to get easily the parameter values. To calculate both joint angles of the arms and the hands and to goner-ate the in keyframes realistically, a transformation matrix of inverse kinematics and some kinds of constraints are applied. Also, to edit emotional expressions efficiently, a comic-style facial model having only eyebrows, eyes nose, and mouth is employed. Experimental results show a possibility that the editor could be used for intelligent sign-language image communications between different lan-guages.

• Journal of the Korean Home Economics Association
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• v.40 no.10
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• pp.103-112
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• 2002

This study investigated the relation between preschoolers' emotion understanding and parents' emotion expressiveness and attitude toward children's emotion expressiveness. Subjects were ninety 3- to 5-year old children and their parents. Parents' emotion socialization was measured by PACES developed by Saami(1989) and FEQ developed by Harberstadt(1986). And preschoolers' identification of basic emotional expressions and expression of their own feelings and others' feelings in various situations were measured. Results revealed that 5-year-old children understood emotion better than 3-year-old children, and mother's positive emotion expression influenced children's emotion understanding. The results are consistent with recent research showing that parents emotion socialization may be important for preschoolers' emotion understanding.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.14 no.1
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• pp.29-43
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• 2007

Purpose: This study was done to develop a pain management protocol for nursing home patients with dementia and to examine effects of the protocol on pain assessments and interventions by the nurses and on pain relief signs in the patients. Method: The six steps in the protocol development and the examination of effect are outlined. Three rounds using the Delphi technique and one group pretest-posttest design experiment were developed. Design issues, such as sample selection and sample size, are addressed in relation to the study protocol. Results: After implementation of the pain management protocol, there were significant changes nursing actions including frequency of number of physical examinations, utilization of pain assessment tools, and request to doctors for discomfort management and there were significant changes in frequency in the number of verbal and physical expressions of pain, and emotional patterns. Conclusion: This is the first pain management protocol for patients with dementia in Korea. However, more study will be needed to determine the methodological strength and necessary revisions for the protocol.

• Journal of Information Processing Systems
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• v.19 no.3
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• pp.323-333
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• 2023

Facial expression recognition can aid in the development of fatigue driving detection, teaching quality evaluation, and other fields. In this study, a facial expression recognition method was proposed with a residual masking reconstruction network as its backbone to achieve more efficient expression recognition and classification. The residual layer was used to acquire and capture the information features of the input image, and the masking layer was used for the weight coefficients corresponding to different information features to achieve accurate and effective image analysis for images of different sizes. To further improve the performance of expression analysis, the loss function of the model is optimized from two aspects, feature dimension and data dimension, to enhance the accurate mapping relationship between facial features and emotional labels. The simulation results show that the ROC of the proposed method was maintained above 0.9995, which can accurately distinguish different expressions. The precision was 75.98%, indicating excellent performance of the facial expression recognition model.

• Korean Journal of Cognitive Science
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• v.12 no.1_2
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• pp.77-89
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• 2001

Applying perceptual hierarchy of facial feature points, a neural network model for recognizing facial expressions was designed. Input data were convolution values of 150 facial expression pictures by Gabor-filters of 5 different sizes and 8 different orientations for each of 39 mesh points defined by MPEG-4 SNHC (Synthetic/Natural Hybrid Coding). A set of multiple regression analyses was performed with the rating value of the affective states for each facial expression and the Gabor-filtered values of 39 feature points. The results show that the pleasure-displeasure dimension of affective states is mainly related to the feature points around the mouth and the eyebrows, while a arousal-sleep dimension is closely related to the feature points around eyes. For the filter sizes. the affective states were found to be mostly related to the low spatial frequency. and for the filter orientations. the oblique orientations. An optimized neural network model was designed on the basis of these results by reducing original 1560(39x5x8) input elements to 400(25x2x8) The optimized model could predict human affective rating values. up to the correlation value of 0.886 for the pleasure-displeasure, and 0.631 for the arousal-sleep. Mapping the results of the optimized model to the six basic emotional categories (happy, sad, fear, angry, surprised, disgusted) fit 74% of human responses. Results of this study imply that, using human principles of recognizing facial expressions, a system for recognizing facial expressions can be optimized even with a a relatively little amount of information.

• Korean Journal of Childcare and Education
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• v.11 no.1
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• pp.329-354
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• 2015

The purpose of this qualitative study was to develop a social skills training program for improving early school-age children's social behaviors and to investigate its effectiveness by observing their experiences on the program with a qualitative method. Data were collected from 7 children using observer's descriptive notes and reflective notes, compliment notes by assistant leader, program leader's weekly journals, children's weekly journals, and video recordings. Four theme categories and 11 sub-lower categories emerged. Theme categories were (1) relationship building, (2) changes in emotional expressions, (3) changes in prosociality, and (4) changes in social skills. This study observed early school-age children's positive changes in social behaviors and emotional expressions through the social skills program.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.3
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• pp.523-528
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• 2015

This paper proposes an algorithm for risk situation recognition using facial expression. The proposed method recognitions the surprise and fear expression among human's various emotional expression for recognizing risk situation. The proposed method firstly extracts the facial region from input, detects eye region and lip region from the extracted face. And then, the method applies Uniform LBP to each region, discriminates facial expression, and recognizes risk situation. The proposed method is evaluated for Cohn-Kanade database image to recognize facial expression. The DB has 6 kinds of facial expressions of human being that are basic facial expressions such as smile, sadness, surprise, anger, disgust, and fear expression. The proposed method produces good results of facial expression and discriminates risk situation well.