• The Journal of Korean Physical Therapy
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• v.32 no.5
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• pp.312-318
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• 2020

Purpose: This study aimed to investigate the evidence that therapeutic horseback riding can improve balance, muscle, ADL, equivalenc, GMFM, gait, emotion with developmental disabilities and neural patients. Methods: To conduct meta-analysis, the search focused on studies that employed therapeutic horseback riding for developmental disabilities and neural patients for which eight databases (KIS, RISS, DBpia, National Assembly Library, Pubmed, Embase, Google scholar and Cochrane Library) were used to extract literature published from 2002 to September 2019. The data were analyzed the RevMan 3.5.3 program. Results: As a result of meta-analysis, therapeutic horseback riding total effect size is 0.552 for children with developmental disabilities and neural patients. And effect size result of according to assessment type variable first, balance effect size is 0.594. Second, muscle activities effect size is 0.425. Third, ADL effect size is 0.430. Fourth, equivalance effect size is 0.640. Fifth, GMFM effect size is 0.482. Sixth, gait effect size is 0.400 and seventh emotion effect size is 0.876. Conclusion: These findings is horseback riding is effective The effect size by outcome was observed to be the effective for children with developmental disabilities and neural patients. and also the horseback riding provided the positive effects of balance, muscle activities, ADL, equivalance, GMFM, gait, emotion for children with developmental disabilities and neural patients. It is hoped that this study will contribute to the development of effective treatments for children with developmental disabilities and neural patients therapeutic horseback riding and the development of study.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.2
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• pp.723-730
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• 2015

Background: This study was performed to assess patient symptoms prevalence, frequency and severity, as well as distress and coping strategies used, and to identify the relationships between coping strategies and psychological and physical symptoms distress and demographic data of cancer patients. This cross-sectional descriptive study involved a total of 268 cancer patients with various types of cancer and chemotherapy identified in the oncology unit of an urban tertiary hospital. Materials and Methods: Data were collected using questionnaires (demographic questionnaire, Medical characteristics, Memorial Symptom Assessment Scale (MSAS) and Brief COPE scales and analyzed for demographic, and disease-related variable effects on symptom prevalence, severity, distress and coping strategies. Results: Symptom prevalence was relatively high and ranged from 14.9% for swelling of arms and legs to 88.1% for lack of energy. This latter was the highest rated symptom in the study. The level of distress was found to be low in three domains. Problem-focused coping strategies were found to be more commonly employed compared to emotion-focused strategies, demonstrating significant associations with sex, age group, educational levels and race. However, there was a positive correlation between emotion-focused strategies and physical and psychological distress, indicating that patients would choose emotion-focused strategies when symptom distress increased. Conclusions: These findings demonstrate that high symptom prevalence rates and coping strategies used render an improvement in current nursing management. Therefore development of symptoms management groups, encouraging the use of self-care diaries and enhancing the quality of psychooncology services provided are to be recommended.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.3
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• pp.333-340
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• 2022

The COVID-19 has made everyone anxious and people need to keep their distance. It is necessary to conduct collective assessment and screening of college students' mental health in the opening season of every year. This study uses and trains a multi-layer perceptron neural network model for deep learning to identify facial emotions. After the training, real pictures and videos were input for face detection. After detecting the positions of faces in the samples, emotions were classified, and the predicted emotional results of the samples were sent back and displayed on the pictures. The results show that the accuracy is 93.2% in the test set and 95.57% in practice. The recognition rate of Anger is 95%, Disgust is 97%, Happiness is 96%, Fear is 96%, Sadness is 97%, Surprise is 95%, Neutral is 93%, such efficient emotion recognition can provide objective data support for capturing negative. Deep learning emotion recognition system can cooperate with traditional psychological activities to provide more dimensions of psychological indicators for health.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.1
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• pp.9-14
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• 2004

Rational sense is affected by emotion. If we add the factor of estimated emotion by environment information into robots, we may get more intelligent and human-friendly robots. However, various sensory information and pattern classification are prescribed for robots to learn emotion so that the networks are suitable for the necessity of robots. Neural network has superior ability to extract character of system but neural network has defect of temporal cross talk and local minimum convergence. To solve the defects, many kinds of modular neural networks have been proposed because they divide a complex problem into simple several subproblems. The modular neural network, introduced by Jacobs and Jordan, shows an excellent ability of recomposition and recombination of complex work. On the other hand, the recurrent network acquires state representations and representations of state make the recurrent neural network suitable for diverse applications such as nonlinear prediction and modeling. In this paper, we applied recurrent network for the expert network in the modular neural network structure to learn data pattern based on emotional assessment. To show the performance of the proposed network, simulation of learning the environment and behavior pattern is proceeded with the real time implementation. The given problem is very complex and has too many cases to learn. The result will show the performance and good ability of the proposed network and will be compared with the result of other method, general modular neural network.

• Science of Emotion and Sensibility
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• v.23 no.2
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• pp.35-50
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• 2020

This study aimed to investigate the changes of emotional perception biases according to the level of social phobia and the relationship with visuospatial attention allocation ability. This study used the Korean self-report assessment test (Korean version of social avoidance and distress, K-SAD) to measure the level of social phobia. Moreover, the emotional perception and useful field of view (UFOV) tasks were employed for measuring emotional perception biases and visuospatial attention allocation ability, respectively. A total of 118 participants participated in this experiment, and only 107 (males: 94, females: 13) data were analyzed due to the exclusion of response errors and other statistical problems. The average age of the participants used in the analysis was 21 years (SD: 3.64), and those participants were divided into three groups according to the K-SAD scores. Consequently, all experimental groups showed negative emotional perception biases in the emotional perception task, but the magnitudes of the biases of each group were not significantly different. Furthermore, the positive emotional perception biases were higher at higher levels of social phobia, which could be related to the tendency of interpreting positive stimuli negatively. In the UFOV task, the higher the level of social phobia, the lower the visuospatial attention allocation ability. These results suggest that the deterioration of visuospatial attention allocation ability potentially contributes to the increase of positive emotional perception biases by being difficult to perceive external stimuli. Thus, this paper discusses the potential contribution of visuospatial attention allocation ability to the increased perceptual biases of positive emotions as the level of social phobia increases.

• Therapeutic Science for Rehabilitation
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• v.9 no.3
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• pp.7-21
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• 2020

Objective : The aim of this systematic review is to analyze the assessment items and tools used for the discharge of stroke and elderly patients and to help select appropriate assessment tools for discharge planning. Methods : The studies included in this review were collected from the PubMed, Medline Complete (EBSCOhost), and Scopus databases from January 2009 to December 2018. A total 22 studies were selected. The research types, the areas and sub-areas of assessment, as well as the assessment tools according to the areas were analyzed. Results : Descriptive research (59.2%) was the most frequent type of research. The 12 main areas of assessment were medical condition, activities of daily living, swallowing function, sensation, mobility, cognition and perception, communication, emotion, home environment, patient knowledge and readiness for discharge, social support, and well-being. Among the assessment tools, the most frequently used tools were Bathel Index; Functional Independence Measure, to assess activities of daily living; Short-Form Health Survey, to assess well-being, and Timed Up and Go test, to assess mobility. Conclusion : This study will help select the assessment areas and tools to be considered at discharge of stroke patients and serve a basis for the development of comprehensive assessment tools for discharge planning.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.25 no.3
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• pp.142-155
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• 2014

Objectives : The aim of this study was to develop an assessment tool for measurement of children's functioning in the mental health service. We conducted a preliminary study to develop a sensitive and inclusive scale focused on the functional changes of children rather than just focusing on their symptoms or screening. Methods : The Child and Adolescent Functional Assessment Scale and the Korean-Child Behavior Checklist (K-CBCL) were both administered to 134 parents of children with emotional or behavioral problems who participated in the Aizone program and also to 186 parents of elementary school children in the Seoul metropolitan area as a control group. SPSS version 12.0 was used for statistical analysis. Results : Most of the reliability coefficients were over 0.70 except those of the conduct behavior items, which showed relatively high internal consistency. The corrected item-total correlations ranged from .411 to 758, except those of conduct behavior items and special measure items. In a concurrent validity test with K-CBCL, the total behavior problem score of K-CBCL was highly correlated with the total score of the Child and Adolescent Functional Assesment Scale (r=.610). For the construct validity, confirmatory factor analysis was performed for each of four areas, including behavior (at home/school), achievement, peer relationship, and emotion. Conclusion : The results showed that the scale was statistically reliable and valid, except for conduct behavior items. This study was conducted only for parents with elementary children. An adolescents group should be included in future studies.

• Journal of Electrical Engineering and Technology
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• v.9 no.1
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• pp.324-333
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• 2014

In this study, physiological status of locomotive engineers were measured through EEG, ECG, EDA, PPG and respiration signals from 6 subjects to evaluate their arousal status during train operating. Existence of tunnels and mechanical vibration of train using 3-axes acceleration sensors were recorded simultaneously and were correlated with operator's physiological status. As the result of the analyzed subjects' physiological signals, mean SCR was increased in the section where more body movement is required. The RR interval was decreased before and after train stop due to the higher level of mental tension. The intensity of beta wave of EEG was found to be higher before and after train stop and tunnel section due to the increased mental arousal and tension. Therefore, it is expected that the outcomes of the physiological signals explored in this study can be utilized as the quantitative assessment methods for the arousal status to be used for sleepiness prevention system for vehicles operators which can greatly contribute to public transportation system safety.

• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.33-40
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• 2010

The study is to examine relationship between the level of depression and facial EMG responses during the humor condition. Forty-three children(age range 22-49 years) participated in the study. The Korean Personality Inventory for Children(KPI-C) was used to measure the level of depression in children. While children were presented to audio-visual film clip inducing humor, facial EMG were measured on their faces(bilateral corrugators and orbicularis). A baseline state was measured during 60 seconds before the presentation of the stimulus, i.e., emotional state lasting 120 seconds. Participants were asked to report the intensity of their experienced emotion. The results of emotion assessment showed 95.3% appropriateness and 3.81 intensity on the 5 points Likert scale). Facial EMG showed a significant increase while participants experiencing humor compared to baseline state. Additionally, the result showed a negative correlation between right corrugator responses and the level of depression. The study findings showed the more children experienced depression, the less facial EMG activity they had while experiencing humor.

• Science of Emotion and Sensibility
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• v.16 no.4
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• pp.469-480
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• 2013

In this paper, we propose new method to reduce variance and express mixed feelings in Russell's emotional dimension(A Circumplex model). A Circumplex model shows mean and variance of emotions(joy, sad, happy, enjoy et. al.) in PAD(Pleasure, Arousal, Dominace, et. al.) dimension using self-diagnostic method(SAM: Self-Assessment-Manikin). But other researchers consistently insisted that Russell's model had two problems. First, data(emotional words) gathered by Russell's method have too big variance. So, it is difficult to separate valid value. Second, Russell's model can not properly represent mixed feelings because it has structural problem(It has a single Pleasure dimension). In order to solve these problems, we change survey methods, so that we reduce value of variance. And then we conduct survey(which can induce mixed feelings) to prove Positive/Negative(Pleasure) part in emotion and confirm that Russell's model can be used to express mixed feelings. Using this method, we can obtain high reliability and accuracy of data and Russell's model can be applied in many other fields such as bio-signal, mixed feelings, realistic broadcasting, et. al.