• Journal of the Korea Convergence Society
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• v.12 no.6
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• pp.119-125
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• 2021

In the elementary school period, since the developmental stage in the area of emotional regulation is immature, it is necessary to develop emotional regulation ability. In order to promote emotional regulation, this study provides an emotional regulation art class that utilizes the right brain function. Results were derived by analyzing through pre- and post-questions and post-interviews. As a result of the pre-post analysis, among the sub-elements of emotional regulation after class, 'Self-Emotion Recognition and Expression', 'Emotional Recognition and Consideration of Others', and 'Interpersonal Relationships' were statistically high. As a result of interview analysis, it was found that all students had a positive effect in the emotional regulation sub-item. As a result, they recognized and understood their emotions after class rather than before class, and had the effect of expressing emotions by purifying negative emotions into positive emotions. It is suggested that it is necessary to develop a program that applies various teaching and learning methods for emotional regulation art class in the future.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.4
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• pp.235-242
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• 2017

Peaks (or Nulls) finding algorithms for Average Magnitude Difference Function (AMDF) of speech signal are proposed in this paper. Both AMDF and Autocorrelation Function (ACF) are widely used to estimate a pitch of speech signal. It is well known that the estimation of the fundamental requency (F0) for speech signal is not only important but also very difficult. In this paper, two algorithms, are exploited the characteristics of AMDF, are proposed. First, the proposed algorithm which has a Threshold value is applied to the local minima to detect a pitch period. The Other proposed algorithm to estimate a pitch period of speech signal is utilized the relationship between AMDF and ACF. The data in this paper, is recorded by using general commercial device, is composed of Korean emotion expression words. The recorded speech data are applied to two proposed algorithms and tested their performance.

• Journal of Korean Medical classics
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• v.19 no.2 s.33
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• pp.97-107
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• 2006

From the study on the relation of voice and O-jang(五臟廳), the conclusion is as follows. The function of breathing out in larynx is involved with lung and kidney. Lung press out the air, at the same time, kidney supports that to maintenance the density of air constantly. So the person who has short breathing can not make strong voice, and also if having a weak kidney in upper Cho[下蕉], their voice will be changed so very softly to cannot make hard type of voice and lingering sounds. Opening and Closing of vocal cords are controled by liver and spleen. when vocal cords are contracted, liver makes tension, whereas spleen does in slackness. So liver is likely to make high-piched sounds in tension of vocal cords, and spleen is the same to do smoothy and husky sounds through relaxing the vocal cords. In the rising condition of liver function, the temp of speech become fast, and more the pronunciation is clearer, it means that the function of thinking by spleen is operated well. Otherwise, indistinct pronunciation means that in the body seup-sa(濕邪) spreads. Also depression of emotion in speech often makes Gi(氣) of heart weaker, whereas it means regular condition of heart including Simpo(心包) that expression of emotion looks happy.

• Journal of the Korean Society of Costume
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• v.65 no.2
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• pp.33-47
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• 2015

The purpose of this study is to understand the ideas of characteristic of convergence design related to slow fashion design. Convergence design in digital stage can be defined as a social phenomenon which different function of product move toward one direction for greater efficiency. Slow fashion is based on the Slow Movement. (This is a movement with similar principles to the Slow Food Movement, as it promotes an alternative mass production, such as fast fashion.) The aims of this research are to study slow fashion that has appeared in the fashion industry through various approaches for convergence designs, and to find the possibility of use for slow fashion. The research method consisted of carrying out case studies and analyzing literatures and proceeding cases. The characteristics of convergence designs are classified into technical convergence, emotion-oriented convergence and complex convergence. Technical convergence has an effect on slow fashion as a multi-functional design. Second, emotion-oriented convergence affects social-cultural design. Slow fashion related to a complex convergence design reveals emotion-oriented deign. Slow fashion is related to convergence design is to expect contribute to provide a good source for the future fashion industry and fashion market.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.239-247
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• 2019

An accurate prediction of emotion is a very important issue for the sake of patient-centered medical device development and emotion-related psychology fields. Although there have been many studies on emotion prediction, no studies have applied the heart rate variability and neuro-fuzzy approach to emotion prediction. We propose ANFEP(Adaptive Neuro Fuzzy System for Emotion Prediction) HRV. The ANFEP bases its core functions on an ANFIS(Adaptive Neuro-Fuzzy Inference System) which integrates neural networks with fuzzy systems as a vehicle for training predictive models. To prove the proposed model, 50 participants were invited to join the experiment and Heart rate variability was obtained and used to input the ANFEP model. The ANFEP model with STDRR and RMSSD as inputs and two membership functions per input variable showed the best results. The result out of applying the ANFEP to the HRV metrics proved to be significantly robust when compared with benchmarking methods like linear regression, support vector regression, neural network, and random forest. The results show that reliable prediction of emotion is possible with less input and it is necessary to develop a more accurate and reliable emotion recognition system.

• Dementia and Neurocognitive Disorders
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• v.22 no.4
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• pp.158-168
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• 2023

Background and Purpose: Facial emotion recognition deficits impact the daily life, particularly of Alzheimer's disease patients. We aimed to assess these deficits in the following three groups: subjective cognitive decline (SCD), mild cognitive impairment (MCI), and mild Alzheimer's dementia (AD). Additionally, we explored the associations between facial emotion recognition and cognitive performance. Methods: We used the Korean version of the Florida Facial Affect Battery (K-FAB) in 72 SCD, 76 MCI, and 76 mild AD subjects. The comparison was conducted using the analysis of covariance (ANCOVA), with adjustments being made for age and sex. The Mini-Mental State Examination (MMSE) was utilized to gauge the overall cognitive status, while the Seoul Neuropsychological Screening Battery (SNSB) was employed to evaluate the performance in the following five cognitive domains: attention, language, visuospatial abilities, memory, and frontal executive functions. Results: The ANCOVA results showed significant differences in K-FAB subtests 3, 4, and 5 (p=0.001, p=0.003, and p=0.004, respectively), especially for anger and fearful emotions. Recognition of 'anger' in the FAB subtest 5 declined from SCD to MCI to mild AD. Correlations were observed with age and education, and after controlling for these factors, MMSE and frontal executive function were associated with FAB tests, particularly in the FAB subtest 5 (r=0.507, p<0.001 and r=-0.288, p=0.026, respectively). Conclusions: Emotion recognition deficits worsened from SCD to MCI to mild AD, especially for negative emotions. Complex tasks, such as matching, selection, and naming, showed greater deficits, with a connection to cognitive impairment, especially frontal executive dysfunction.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.1
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• pp.20-26
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• 2008

As they have more and more intelligence robots or computers these days, so the interaction between intelligence robot(computer) - human is getting more and more important also the emotion recognition and expression are indispensable for interaction between intelligence robot(computer) - human. In this paper, firstly we extract emotional features at speech signal and facial image. Secondly we apply both BL(Bayesian Learning) and PCA(Principal Component Analysis), lastly we classify five emotions patterns(normal, happy, anger, surprise and sad) also, we experiment with decision fusion and feature fusion to enhance emotion recognition rate. The decision fusion method experiment on emotion recognition that result values of each recognition system apply Fuzzy membership function and the feature fusion method selects superior features through SFS(Sequential Forward Selection) method and superior features are applied to Neural Networks based on MLP(Multi Layer Perceptron) for classifying five emotions patterns. and recognized result apply to 2D facial shape for express emotion.

• Science of Emotion and Sensibility
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• v.10 no.3
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• pp.471-480
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• 2007

Negative emotions play an important function as to human's existence. In this research, we employed the audio-visual film clips to induce negative emotions and examined the classified responses in the autonomic nervous system(ANS) due to each negative emotion.30 adults(22.6 years $old{\pm}1.24$, 15 males and 15 females) took part in this experiment. Through the preliminary experiment, 2 minutes film's stimuli were selected as the emotion-induced stimuli. During the period when participants were viewing and listening to the selected movie, EDA and ECG were examined as soon as one stimulus was displayed, participants were tested by completing the psychological appraisals of their experienced emotion due to each emotional stimulus. With regard to the result of analyzing the psychological responses, each negative emotion appropriately and effectively induced its target emotion. While concerning the result of analyzing ANS responses, each negative emotion induced its respective activation in ANS. What is more, compared with other types of negative emotional stimuli, the scaring stimulus induced higher activation of the sympathetic nervour system(SNS) as to the indexes in EDh and ECG. This research made segmentation of ANS responses to each negative emotion, which has its significance.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.380-390
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• 2022

This research is to find out what kinds of function imaginary companions do to the characters in a picture book featuring imaginary companions. To this end, a total of 26 picture books featuring imaginary companions published in Korea were analyzed using content analysis to assess the function of imaginary companions in the relationship between the main character and imaginary companions. As a result of the study, the imaginary companions were found to play the function of playmates (77%), care givers and/or advisers (42%), companions (42%), other egos (38%), those who get wish realized (23%), those who sharing emotion (23%), and emotion controllers (19%). In the picture book, the imaginary companion was performing various functions according to the situation and needs of the characters. Mostly two to three (2~3) kinds of functions were performed in the each analyzed picture book, and as a result of analyzing trends out of 26 picture books, it showed that there are three types of trends in relationship, which was horizontal, vertical and other egos. The imginary companions depicted in the picture books were not only being who helps realize whishes, take care of main characters, and control their emotions, but also appeared to share hearts, project other ego and be a good friend with an equal level of relationship that plays together always.

• Korean Journal of Biological Psychiatry
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• v.29 no.1
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• pp.15-21
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• 2022

Objectives Maltreatment experiences can alter brain function related to emotion regulation, such as cognitive reappraisal. While dysregulation of emotion is an important risk factor to mental health problems in maltreated people, studies reported alterations in brain networks related to cognitive reappraisal are still lacking. Methods Twenty-seven healthy subjects were recruited in this study. The maltreatment experiences and positive reappraisal abilities were measured using the Childhood Trauma Questionnaire-Short Form and the Cognitive Emotion Regulation Questionnaire, respectively. Twelve subjects reported one or more moderate maltreatment experiences. Subjects were re-exposed to pictures after the cognitive reappraisal task using the International Affective Picture System during fMRI scan. Results The maltreatment group reported more negative feelings on negative pictures which tried cognitive reappraisal than the no-maltreatment group (p < 0.05). Activities in the right superior marginal gyrus and right middle temporal gyrus were higher in the maltreatment group (uncorrected p < 0.001, cluster size > 20). Conclusions We found that paradoxical activities in semantic networks were shown in the victims of maltreatment. Further study might be needed to clarify these aberrant functions in semantic networks related to maltreatment experiences.