• 재활간호학회지
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• 제6권1호
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• pp.26-39
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• 2003

The elderly can experience a lot of stressful events and the stress acts as a various fluent that affects a well-being level, the self-contentment of lives, and the achievements by themselves. Also, the elderly are different from the young in many unexpressed stress and have diverse copings for perceived stress. Moreover, they mainly seem to use a problem-focused coping and an emotion-focused coping. To use whatever copings is to improve the quality of life in the old period and very important fact to achieve their ends. The purpose of this study was to investigate the relationship between Perceived Stress and the Ways of Coping in the Elderly and to gain the baseline data for development of nursing intervention program for improve to the quality of life in the elderly. The design of this study was a correlational study. The subjects of this study consisted of 230 of the elderly living in Pusan. The data was collected from 1st July. to 1st September, 2002. The instruments used for this study were 'Perceived Stress Scale(20items, 5point. scale)' developed by Kang In(1990) and translated by Lee young-ja(1999), and its reliability is Cronbach's ${\alpha}=.89$. 'Coping Scale(30items, 4point. scale, 14 items about a problem-focused coping, 16 items about an emotion-focused coping, 4 points scale) developed by Lazarus & Folkman(1984) and translated by Yang Young-hee(1998). The reliability of this study is Cronbach's ${\alpha}=.90$. The data was analyzed by the SPSS WIN 10.0 program using frequency, percentage, mean, standard deviation, t-test, ANOVA & Scheffe test and Pearson's correlation coefficient. The results of this study were as follows; 1. The mean score of perceived stress was $31.75{\pm}10.23$(Min 20, Max 100), which the item mean score was $1.59{\pm}.51$(Min 1, Max 5). 2. The number of subjects in a problem-focused coping was 72(31.3%), the number of subjects in an emotion-focused coping was 158(68.7%) 3. There were statistically significant positive correlation between perceived stress and problem-focused coping method and the more emotion-focoused coping method.(r=.180, r= .209, P< .05). It means the more stress, the more problem-focused coping method and the more emotion-focused coping method. 4. There was significant difference the score of perceived stress according to sex (F=-5.057, P=.000)marital status, (F=-2.909, P=.004), economic level, (F=10.243, P=.000), paticipated meeting, (F=9.346, P=.000), perceived health status(F=5.117, P=.007). 5. There was significant difference the score of problem-focused coping method according to age(F=14.200, P=.000), marital status (F=2.432, P=.0160), economic level (F=14.410, P=.000), monthly income, (F=8.300. P=.000), income resource (F=10.235, P=.000), educational level (F=15.222, P=.000), occupation (F=1.544, P=.041), paticipated meeting (F=4.936, P=.008), perceived health status(F=5.655, P=.004). And there was significant difference the score of emotion-focused coping method according to monthly income(F=4.781, P=.009), income resource(F=2.930, P=.035), educational level(F=6.101, P=.003), religionF=2.698, P=.032), paticipated meetings(F=7.285, P=.001). As a result of the study, the elderly had a bit less stress and the two-thirds of the elderly used the emotion-focused coping. Thus, the more perceived stress, the more problem-focused coping method and the more emotion-focused coping method. Accordingly, to improve the quality of life of the elderly, there needs and applies a nursing intervention program that relieves the stress and use effective coping method.

• 로봇학회논문지
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• 제8권4호
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• pp.266-272
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• 2013

Facial feature extraction and tracking are essential steps in human-robot-interaction (HRI) field such as face recognition, gaze estimation, and emotion recognition. Active shape model (ASM) is one of the successful generative models that extract the facial features. However, applying only ASM is not adequate for modeling a face in actual applications, because positions of facial features are unstably extracted due to limitation of the number of iterations in the ASM fitting algorithm. The unaccurate positions of facial features decrease the performance of the emotion recognition. In this paper, we propose real-time facial feature extraction and tracking framework using ASM and LK optical flow for emotion recognition. LK optical flow is desirable to estimate time-varying geometric parameters in sequential face images. In addition, we introduce a straightforward method to avoid tracking failure caused by partial occlusions that can be a serious problem for tracking based algorithm. Emotion recognition experiments with k-NN and SVM classifier shows over 95% classification accuracy for three emotions: "joy", "anger", and "disgust".

• International Journal of Computer Science & Network Security
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• 제23권9호
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• pp.47-54
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• 2023

For Bengali music emotion classification, deep learning models, particularly CNN and RNN are frequently used. But previous researches had the flaws of low accuracy and overfitting problem. In this research, attention-based Conv1D and BiGRU model is designed for music emotion classification and comparative experimentation shows that the proposed model is classifying emotions more accurate. We have proposed a Conv1D and Bi-GRU with the attention-based model for emotion classification of our Bengali music dataset. The model integrates attention-based. Wav preprocessing makes use of MFCCs. To reduce the dimensionality of the feature space, contextual features were extracted from two Conv1D layers. In order to solve the overfitting problems, dropouts are utilized. Two bidirectional GRUs networks are used to update previous and future emotion representation of the output from the Conv1D layers. Two BiGRU layers are conntected to an attention mechanism to give various MFCC feature vectors more attention. Moreover, the attention mechanism has increased the accuracy of the proposed classification model. The vector is finally classified into four emotion classes: Angry, Happy, Relax, Sad; using a dense, fully connected layer with softmax activation. The proposed Conv1D+BiGRU+Attention model is efficient at classifying emotions in the Bengali music dataset than baseline methods. For our Bengali music dataset, the performance of our proposed model is 95%.

• 대한가정학회지
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• 제50권1호
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• pp.103-119
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• 2012

The purpose of this study was to explore the mediating effects of preschooler's effortful control on the relationship between maternal emotional availability and preschooler's social skills and problem behaviors. One hundred-thirty six 5-year-old preschoolers and their mothers participated in this study. Instruments for this study were the Emotional Availability Scale for maternal emotional availability, the Delay task, and the Child Behavior Questionnaire for preschooler's effortful control, and the Social Skill Rating Scale, K-CBCL 1.5-5 and K-TRF for preschooler's social skills and problem behaviors. The resulting data were analyzed using descriptive statistics, partial correlation, and structural equation modeling analysis. As predicted, the preschooler's effortful control mediated the effects of maternal emotional availability on preschooler's social skills and problem behaviors. In conclusion, the preschooler's effortful control mediates the effects of emotion related socialization behavior on the preschooler's socio-emotional adjustment.

• 성인간호학회지
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• 제14권2호
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• pp.213-221
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• 2002

Purpose: The aim of this study was to investigate the difference of in the level of pain, depression, and quality of life by coping strategy in the chronic arthritis patients. Method: These data were collected by means of a self-reported questionnaire from 90 chronic arthritis patients undergoing treatment at a university hospital in Daegu city from June 10, 2000 to July 15, 2000. The instruments of study were coping strategy scale by Jeon(1985), pain scale by Lee and Song(1987), depression scale by Radloff(1977) and quality of life scale by Cho(1987). Data analysis was done by SPSS Win 10.0 program and Pearson correlation, t-test, Cronbach's-${\alpha}$ were used. Result: The results of this study were as follows: 1. The item mean score of pain for chronic arthritis patient was 6.54. The item mean score of depression for chronic arthritis patient was 2.18. The item mean score of quality of life for chronic arthritis patient was 5.69. 2. The chronic arthritis patients with problem-focused coping experienced pain higher than those with emotion-focused coping(t=o.400, p=o.o45). The chronic arthritis patients with emotion-focused coping experienced depression higher than those with problem-focused coping(t=-2.564, p=0.012). The chronic arthritis patients with problem-focused coping experienced quality of life higher than emotion-focused coping(t=-1.682, p=0.046). Conclusion: In conclusion this study showed that any coping strategy can control the arthritis patient's problem. Therfore, The development of a coping strategy to reduce pain and depression and improve the quality of life in the chronic arthritis patient will be needed.

• Journal of Information Processing Systems
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• 제17권4호
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• pp.754-771
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• 2021

In the task of continuous dimension emotion recognition, the parts that highlight the emotional expression are not the same in each mode, and the influences of different modes on the emotional state is also different. Therefore, this paper studies the fusion of the two most important modes in emotional recognition (voice and visual expression), and proposes a two-mode dual-modal emotion recognition method combined with the attention mechanism of the improved AlexNet network. After a simple preprocessing of the audio signal and the video signal, respectively, the first step is to use the prior knowledge to realize the extraction of audio characteristics. Then, facial expression features are extracted by the improved AlexNet network. Finally, the multimodal attention mechanism is used to fuse facial expression features and audio features, and the improved loss function is used to optimize the modal missing problem, so as to improve the robustness of the model and the performance of emotion recognition. The experimental results show that the concordance coefficient of the proposed model in the two dimensions of arousal and valence (concordance correlation coefficient) were 0.729 and 0.718, respectively, which are superior to several comparative algorithms.

• 한국음향학회지
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• 제38권5호
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• pp.614-620
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• 2019

본 논문은 전역 스타일 토큰(Global Style Token, GST)을 사용하는 종단 간(end-to-end) 감정 음성 합성 시스템의 성능을 높이기 위해 각 감정의 스타일 벡터를 효과적으로 결정하는 방법을 제안한다. 기존 방법은 각 감정을 표현하기 위해 한 개의 대푯값만을 사용하므로 감정 표현의 풍부함 측면에서 크게 제한된다. 이를 해결하기 위해 본 논문에서는 k-평균 알고리즘을 사용하여 다수의 대표 스타일을 추출하는 방법을 제안한다. 청취 평가를 통해 제안 방법을 이용해 추출한 각 감정의 대표 스타일이 기존 방법에 비해 감정 표현 정도가 뛰어나며, 감정 간의 차이를 명확히 구별할 수 있음을 보였다.

• 제어로봇시스템학회논문지
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• 제19권4호
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• pp.364-371
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• 2013

Emotion Recognition is one of the important part to develop in human-human and human computer interaction. In this paper, we have focused on the performance of multi-class SVM (Support Vector Machine) with Gaussian RFB (Radial Basis function) kernel, which has been used to solve the problem of emotion recognition from physiological signals and to improve the accuracy of emotion recognition. The experimental paradigm for data acquisition, visual-stimuli of IAPS (International Affective Picture System) are used to induce emotional states, such as fear, disgust, joy, and neutral for each subject. The raw signals of acquisited data are splitted in the trial from each session to pre-process the data. The mean value and standard deviation are employed to extract the data for feature extraction and preparing in the next step of classification. The experimental results are proving that the proposed approach of multi-class SVM with Gaussian RBF kernel with OVO (One-Versus-One) method provided the successful performance, accuracies of classification, which has been performed over these four emotions.

• 철학연구
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• 제141권
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• pp.313-342
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• 2017

이 논문은 이익과 신후담의 사칠론에서 중절의 철학적 함의를 해명하고 있다. 논문에 따르면, 퇴계의 사단칠정론에서 사단과 중절한 칠정 사이의 관계 규정은 곤란한 문제로 남겨졌다. 이익은 중절한 칠정의 의미를 새롭게 분석함으로써 이 문제를 해결하고자 하였다. 그는 중절한 칠정의 도덕성을 인정하면서도 그것이 사단과 차별적이라는 점을 철학적으로 해명하고자 하였다. 공정무사한 공감자를 설정하여 이 문제를 풀고자 한 것이 그의 해법이었다. 이러한 이익의 생각은 중절의 윤리적 가치에 대해 참신한 재평가를 수행한 것이라는 점에서 의의가 있는 것이었다. 그러나 신후담은 스승 이익의 생각에 반대하면서 중절의 도덕적 가치를 평가 절하하였다. 신후담에 따르면, 성인(聖人)의 공칠정(公七情)과 중절(中節)한 칠정은 다른 것이었다. 성인의 공칠정은 공적 도덕성이 실현된 감정 상태이지만 중절한 칠정은 자연적 욕구와 생리적 기호가 적절한 상태에 놓인 것에 불과한 것이었다. 전자가 이발(理發)이라면 후자는 기발(氣發)인 것이다. 그는 이익에게서 모호하게 표현되었던 성인칠정(聖人七情)을 명백히 공(公)과 사(私)의 두 측면으로 차별화함으로써 퇴계학 전통의 이발(理發)을 한층 강화하였다. 여기에 이르러 사단과 칠정이라는 오래된 구분선은 해체되고 공(公)과 사(私)가 도덕 감정의 기준으로 부각되었다.

• 대한수학교육학회지:학교수학
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• 제13권3호
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• pp.469-484
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• 2011

본 연구는 수학 학습의 정의적 영역에서 메타-정의의 개념을 구체화하고 명확히 하기 위해 메타-정의의 유형을 구분하고, 실제 사례를 보여주었다. 메타-정의는 정의의 모니터링, 감정의 평가, 감정의 조절, 정의의 활용 4가지로 구분되었고, 모니터링 후 평가, 조절, 활용이 시간적 순서로 이루어지는 것을 볼 수 있었다. 감정을 평가하고 조절하는 데 수학과 수학 학습에 대한 신념이 중요한 잣대로 작용하였으며, 메타-정의는 정의를 조절하고 학습 전략을 선정하는 등 수학 학습에서 중요한 역할을 하였다.