• Journal of the Korea Convergence Society
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• v.8 no.10
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• pp.295-304
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• 2017

The purpose of the study was to develop welfare technology classification frame according to welfare needs, function, and ICT technology and to explore current trends in Korean welfare technology application for older adults and people with disabilities. A systematic literature review and descriptive statistics were used for data analyses. Korean welfare technology services were categorized by a new welfare technology classification frame with five components for welfare needs and function and eight ICT technologies. Self-reliance and self-help emerged as the most frequent welfare needs and function. The use of ICT devices was frequently applied to welfare technology services. Our findings suggest that it is important to use a new welfare technology classification frame and to apply it to welfare technology in Korea. Further research is necessary to seek for future directions in Korean welfare technology.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.227-231
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• 2024

This study purports to examine the potential effects of welfare attitudes of Korean people upon their political orientation. The 17^th Korea Welfare Panel Data(KWPD) in 2022 are used for this purpose. Independent variable include sex, age, education, interest in politics, and employment status. Discriminant analysis show several results. First and foremost, pre-established discriminant function works well for classification of respondents' liberal vs conservative stance. Secondly, except gender and dummy variable for temporary employed, all independent variables contribute significantly for the classification at a given significance level. . Finally, welfare attitudes of respondents', measured by universalism vs selectivism and the attitudes upon increasing tax for welfare expenditures are found to be significant and relatively big impacts upon dependent variable, compard to other variables in the model. The nature of causal relationship between welfare attitudes and political orientation remains for further study.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.169-174
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• 2024

This study purports to identify the factors that contribute to the classification of age groups or generations of Koreans. Independent variables such as respondents' attitudes toward welfare, attitudes toward equity, education level, perception of inequality in Korean society, tax awareness, and health status are included in the model that were put into the analysis with the main interest. Since this study does not construct any hypothesis prior to analysis, the nature of this study can be said exploratory. The data utilized for the analysis are from the 17th year of the Korean Welfare Panel collected in 2022, and a linear discrimination analysis technique will be used. First and foremost, a theoretical review of the generational classification will be conducted through domestic and international literature in the past. To date, there is no quantitative studies in Korea that have a significant influence on the generational classification. Therefore, in this study, a theoretical review of political tendencies and values, which are estimated to have a significant influence on the generational classification, that is, the difference between generations, will be significant. The perception and attitude toward welfare will be discussed in the review of values. Next, analysis models, analysis techniques, and variables to be used in the analysis will be introduced. After

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2009.11a
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• pp.72-76
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• 2009

Along with the heightening development of modern medical technology in the world, the economy and quality of lifestyle has contributed to the increase in the average lifespan. Therefore the issue to deal with the aging population is becoming an important social issue. As aging population becomes a serious social problem, the issue of supporting the senior citizens is confronted with a more difficult situation. From the perspective of senior citizen's physical and social and economic situations, there are great difficulties to deal with, like lowered physical ability compared to the rest of population. Therefore the supply of senior welfare facility that is based on senior citizen's physical characteristics yet provides the opportunity to be independent needs to provided rather than just planning a simple facility that provides living accommodations. This research examines thereinto welfare center's usage of residential circulation system from the senior welfare facilities' type classification to understand the actual usage problem and presents a circulation plan that will resolve the problem.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.11 no.2
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• pp.143-146
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• 2017

In this paper, a novel approach is proposed to improve the performance of speech/music classification using the recurrent neural network (RNN) in the enhanced voice services (EVS) of 3GPP for hearing aids. Feature vectors applied to the RNN are selected from the relevant parameters of the EVS for efficient speech/music classification. The performance of the proposed algorithm is evaluated under various conditions and large speech/music data. The proposed algorithm yields better results compared with the conventional scheme implemented in the EVS.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.7 no.2
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• pp.69-74
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• 2013

In this paper, we propose the pattern classification algorithm of recognizing wrist movements based on electromyogram(EMG) to raise the recognition rate. We consider 30 characteristics of EMG signals wirh the root mean square(RMS) and the difference absolute standard deviation value(DASDV) for the extraction of precise features from EMG signals. To get the groups of each wrist movement, we estimated 2-dimension features. On this basis, we divide each group into two parts with mean to compare and promote the recognition rate of pattern classification effectively. For the motion classification based on EMG, the k-nearest neighbor(k-NN) is used. In this paper, the recognition rate is 92.59% and 0.84% higher than the study before.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.5 no.1
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• pp.95-101
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• 2011

In this paper, we propose the gaussian mixture model based pattern classification algorithm of forearm electromyogram. We define the motion of 1-degree of freedom as holding and unfolding hand considering a daily life for patient with prosthetic hand. For the extraction of precise features from the EMG signals, we use the difference absolute mean value(DAMV) and the mean absolute value(MAV) to consider amplitude characteristic of EMG signals. We also propose the D_DAMV and D_MAV in order to classify the amplitude characteristic of EMG signals more precisely. In this paper, we implemented a test targeting four adult male and identified the accuracy of EMG pattern classification of two motions which are holding and unfolding hand.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.6 no.1
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• pp.67-73
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• 2012

In this paper, Artificial Neural Network(ANN) based motion classification algorithm is proposed to classify wrist motions using surface electromyograms(sEMG). surface EMGs are obtained from two electrodes placed on the flexor carpi ulnaris muscle and extensor carpi ulnaris muscle of 26 subjects under no strain condition during wrist motions and used to recognize wrist motions such as up, down, left, right, and rest. Feature is extracted from obtained EMG signals in time domain for fast processing and used to classify wrist motions using ANN. DAMV, DASDV, MAV, and RMS were used as features and accuracies of motion classification based on ANN were 98.03% for DAMV, 97.97% for DASDV, 96.95% for MAV, 96.82% for RMS.

• Journal of Families and Better Life
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• v.15 no.2
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• pp.185-200
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• 1997

In this study the meaning of well-being and welfare of home has been analyzed and a new direction in which home economics should advance has been suggested, This study not only would help the characteristics of home economics be properly understood and its displinary position take its own place but also a conceptual analysis which might be uncommon in the studies of learned circles of Korean home economics would be a basis for establishing the uniqueness of the discipline named by home economics. Based on the critical theory of Habermas it has been demonstrated that well-being and welfare of home have been emphasized unfairly in the physical and technical aspects and such a partial pursuit of positivism and purposive rationality of scientific technology has resulted in the situation that home would be gradually encroached and controlled by the social system pursuing purposive rationality. As an alternative to overcome this kind of problems communicative rationality that has em hasis on the process of intersubjective understanding and agreement has been focused. The meaning of well-being and welfare of home has been established through the classification of family life actions in to technical action practical action and emancipatory action, And the characteristics of them have been examined and ideal directionns of each element have been discussed.

• Journal of the Ergonomics Society of Korea
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• v.31 no.5
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• pp.617-627
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• 2012

Objective: The aim of the study was to develop a most widely used Korean dictionary of emotion expressing idioms. This is anticipated to assist the development of software technology that recognizes and responds to verbally expressed human emotions. Method: Through rigorous and strategic classification processes, idiomatic expressions included in this dictionary have been rated in terms of nine different emotions (i.e., happiness, sadness, fear, anger, surprise, disgust, interest, boredom, and pain) for meaning and intensity associated with each expression. Result: The Korean dictionary of emotion expression idioms included 427 expressions, with approximately two thirds classified as 'happiness'(n=96), 'sadness'(n=96), and 'anger'(n=90) emotions. Conclusion: The significance of this study primarily rests in the development of a practical language tool that contains Korean idiomatic expressions of emotions, provision of information on meaning and strength, and identification of idioms connoting two or more emotions. Application: Study findings can be utilized in emotion recognition research, particularly in identifying primary and secondary emotions as well as understanding intensity associated with various idioms used in emotion expressions. In clinical settings, information provided from this research may also enhance helping professionals' competence in verbally communicating patients' emotional needs.