• Journal of Pharmacopuncture
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• v.25 no.1
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• pp.24-36
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• 2022

Objectives: This study is a comparative analysis of the satisfaction and recognition characteristics for traditional Korean medicine (TKM) in people with disabilities and the general population of Korea. Methods: Here, 5,000 subjects were categorized into two groups based on a disability rating using the data from the 2017 National Survey for the Usage of Korean Medicine. The relationships among the sociodemographic characteristics, TKM usage status, recognition of TKM usage, and recognition of the effectiveness of the TKM treatment were analyzed based on the disease. The response reliability was verified using the chi-square test analysis method. Results: Disabilities corresponded with low rates of high school or higher education (44%, 83.5%) and no jobs (56.9%, 33.5%), mostly the status of the low-income class with a monthly household income of < 1,500 USD (50.9%, 10.5%), poor health conditions (55.2%, 9.8%), high chronic disease prevalence rate (69.0%, 19.9%), high medical care rate (11.2%, 0.5%), and low commercial health insurance subscription rate (44%, 74.2%). Furthermore, people with disabilities visited TKM institutions more often (88.8%, 74.1%) with a high frequency TKM usage rate of ≥ 1-2 times a month (26.2%, 15.3%). They also reported that the cost of using the TKM was very high (14.7%, 8.8%) and that primarily the application of insurance benefits should be improved (52.6%, 47.5%). The treatment effectiveness for diseases was high for musculoskeletal disorders for both people with disabilities and the general population. Conclusion: Preferential application of insurance benefits for musculoskeletal diseases must be extended to the TKM treatment as well, as people with disabilities have a high recognition for these conditions with TKM. It is difficult to perform randomized controlled trials on people with disability. Therefore, large-scale observational and cohort studies should be conducted. We hope this study will help establish a suitable TKM policy for people with disabilities.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.2
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• pp.1118-1133
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• 2017

Computer vision-based human activity recognition (HAR) has become very famous these days due to its applications in various fields such as smart home healthcare for elderly people. A video-based activity recognition system basically has many goals such as to react based on people's behavior that allows the systems to proactively assist them with their tasks. A novel approach is proposed in this work for depth video based human activity recognition using joint-based motion features of depth body shapes and Deep Belief Network (DBN). From depth video, different body parts of human activities are segmented first by means of a trained random forest. The motion features representing the magnitude and direction of each joint in next frame are extracted. Finally, the features are applied for training a DBN to be used for recognition later. The proposed HAR approach showed superior performance over conventional approaches on private and public datasets, indicating a prominent approach for practical applications in smartly controlled environments.

• The Journal of Korea Robotics Society
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• v.3 no.2
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• pp.81-90
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• 2008

While increasing demand of the service for the disabled and the elderly people, assistive technologies have been developed rapidly. The natural signal of human such as voice or gesture has been applied to the system for assisting the disabled and the elderly people. As an example of such kind of human robot interface, the Soft Remote Control System has been developed by HWRS-ERC in $KAIST^[1]$. This system is a vision-based hand gesture recognition system for controlling home appliances such as television, lamp and curtain. One of the most important technologies of the system is the hand gesture recognition algorithm. The frequently occurred problems which lower the recognition rate of hand gesture are inter-person variation and intra-person variation. Intra-person variation can be handled by inducing fuzzy concept. In this paper, we propose multivariate fuzzy decision tree(MFDT) learning and classification algorithm for hand motion recognition. To recognize hand gesture of a new user, the most proper recognition model among several well trained models is selected using model selection algorithm and incrementally adapted to the user's hand gesture. For the general performance of MFDT as a classifier, we show classification rate using the benchmark data of the UCI repository. For the performance of hand gesture recognition, we tested using hand gesture data which is collected from 10 people for 15 days. The experimental results show that the classification and user adaptation performance of proposed algorithm is better than general fuzzy decision tree.

• Journal of the Korean Society of Food Culture
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• v.20 no.3
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• pp.367-373
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• 2005

The study investigated the recognition and preference of foreigner to Korean foods in different nationality. Questionnaires consisted of two languages- Chinese and English were given to 180 residing foreigners in Insa-dong and COEX mall areas and interview methods were used. A total of 157 questionnaires were analyzed for statistical analysis. The statistical analysis was completed using SPSS Win(ver 11.0) for descriptive analysis, ${\chi}^2-test$, ANOVA and Tukey's test. Main results of this study were as follows: First, the factors foreigners considered when they chose food of other countries were; 1.new taste, 2.curiosity, 3.foreign culture, 4.foreign tradition. People from European and Asian countries were inclined to 'New taste' first, while people from American and Oceanian countries were inclined to "curiosity". Second, most of respondents have tried Bulgogi and Galbi before and many of them also have tried Kimchi, Kimbop, and Bibimbop as common Korean foods. Third, the preference was different according to their origins. Asian people liked diverse cuisines including Bulgogi, Galbi, Kimchi, Dubu Doenjan chige, and Samgaetang, while European and Oceanian people liked Bulgogi, Galbi, and Bibimbop. The preference for Kimchi was considerably high among Asian people, however, low among American and Oceanian people(p<0.05). Fourth, Deviation was little on the taste, color, and table settings of Korean foods; most of the respondents was satisfied on those factors. European and Oceanian people who were familiar with table setting according to time were satisfied at table setting of Korean foods, which focused on space, rather than time. Fifth, most of the respondents, especially Asian people, remarked that Korean foods were spicy. The opinion on the taste of Korean foods was variable according to their nations. Currently many of culinary companies from Korea were leading their active business in foreign countries such as China and United States. Their domain was not limited to traditional Korean foods, but expanding to various fields such as fast foods, bakery goods, and fusion snacks.

• Journal of the Speleological Society of Korea
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• no.88
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• pp.1-7
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• 2008

Recently, it is one of very interest technology of Human Computer Interaction(HCI). Nowadays, it is easy to find out that, for example, inside SF movies people has talking to computer. However, there are difference between CPU language and ours. So, we focus on connecting to CPU. For 30 years many scientists experienced in that technology. But it is really difficult. Our project goal is making that CPU could understand human voice. First of all the signal through a voice sensor will move to BCD (binary code). That elevator helps out people who wants to move up and down. This product's point is related with people's safety. Using a PWM for motor control by ATmega16, we choose a DC motor to drive it because of making a regular speed elevator. Furthermore, using a voice identification module the elevator driven by voice sensor could operate well up and down perfectly from 1st to 10th floor by PWM control with ATmega16. And, it will be clearly useful for high-rise vertical shift with voice recognition sensor driven.

• Journal of Korean Academy of Dental Administration
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• v.11 no.1
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• pp.70-77
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• 2023

This study surveyed and analyzed attitudes toward people with disabilities, awareness of considerations in dental treatment for individuals with disabilities, the need for education on dental treatment for people with disabilities, and the educational requirements for dental hygienists working in dental medical institutions. The study was conducted to highlight the importance of dental treatment education for people with disabilities and to provide foundational data for future dental treatment education programs targeting dental hygienists. A total of 221 dental hygienists working in dental care institutions nationwide participated in a self-administered online questionnaire from November 2 to 15, 2022. This study concludes that there is a significant correlation between the attitudes of dental hygienists toward the disabled, their recognition of considerations in dental treatment for the disabled, the need for education on dental treatment for the disabled, and their educational experience in providing dental treatment for the disabled. In order to improve these factors, it is important to implement and expand systematic dental care education for people with disabilities in the school curriculum, as well as in supplementary education and seminars.

• Journal of the HCI Society of Korea
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• v.9 no.1
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• pp.23-28
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• 2014

In this study we focus on the effect of the interaction between humans and reactive television when emotion recognition through facial expression mechanism is used. Most of today's user interfaces in electronic products are passive and are not properly fitted into users' needs. In terms of the user centered device, we propose that the emotion based reactive television is the most effective in interaction compared to other passive input products. We have developed and researched next generation cognitive TV models in user centered. In this paper we present a result of the experiment that had been taken with Fraunhofer IIS $SHORE^{TM}$ demo software version to measure emotion recognition. This new approach was based on the real time cognitive TV models and through this approach we studied the relationship between humans and cognitive TV. This study follows following steps: 1) Cognitive TV systems can be on automatic ON/OFF mode responding to motions of people 2) Cognitive TV can directly select channels as face changes (ex, Neutral Mode and Happy Mode, Sad Mode, Angry Mode) 3) Cognitive TV can detect emotion recognition from facial expression of people within the fixed time and then if Happy mode is detected the programs of TV would be shifted into funny or interesting shows and if Angry mode is detected it would be changed to moving or touching shows. In addition, we focus on improving the emotion recognition through facial expression. Furthermore, the improvement of cognition TV based on personal characteristics is needed for the different personality of users in human to computer interaction. In this manner, the study on how people feel and how cognitive TV responds accordingly, plus the effects of media as cognitive mechanism will be thoroughly discussed.

• International Journal of Advanced Culture Technology
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• v.6 no.3
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• pp.12-21
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• 2018

This study was a cross-sectional survey of the effects of pregnancy necessity recognition on emotional happiness and mediation effect of health control behavior on it. A total of 200 participants in the study were collected from structured questionnaire online and the data collection was from July $1^{st}$ to July $31^{st}$, 2018. Health control behavior questionnaire was developed by Wallston, K.A., Wallston, B.S. & Devellis, R (1978), Emotional happiness was analyzed by using PANAS (positive and negative affect schedule) developed by Watson, Clark and Tellegen (1988). The collected data were chai-square($X^2$), Pearson correlation, Dummy regression analysis, simple regression analysis, and the mediated effect analysis by SPSS 18.0. As a result, Under statistical significance, there were differences in the recognition of pregnancy necessity were depending on religion, participant's age, number of siblings, thought of optimal marriage age(p<0.05). More siblings, more religious, older age, and more recognized the pregnancy necessity. The analysis of Pearson correlation with the pregnancy necessity, health control behavior, and emotional happiness reveled that it was relevant (p<0.01). Dummy regression analysis showed that people who thought that pregnancy was necessary were 0.700 times more likely to felt emotional happiness that people who thought it was unnecessary (p<0.01). Analysis on the mediation of health control behavior, in which the effects of pregnancy recognition on emotional happiness, showed that it was effect (other people's health control behavior: B:.299, p<0.01, internal health control behavior : B:.217, p<0.05). Based on these results, this study suggested that to promote pregnancy recognition, families with brother and sister should be programmed with recommendations for exercise and alcohol abstinence, religious belief and health control programs.

• Journal of Convergence for Information Technology
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• v.9 no.2
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• pp.155-164
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• 2019

In this study, 284 families of people with developmental disabilities responded to a survey about the importance of family support services and their recognition level of satisfaction. First, there was a statistically significant difference in the level of importance-satisfaction recognition of family support services for the people with developmental disabilities. Second, the recognition level of the importance of family support services of the people with developmental disabilities was in the order of support for parenting, support for physical and material wellbeing, support for family interaction. Third, satisfaction of family support services of the people with developmental disabilities was in the order of support for parenting activities, support for family interaction, support for emotional wellbeing. Fourth, we proposed the maintenance of the status quo, improvement efforts, and the need for mid-and long-term strategy by analyzing the characteristics of the importance-satisfaction quadrant. The results of this study are expected to be useful as basic data for improvement of family support services for the people with developmental disabilities.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.727-729
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• 2017

According to the National Statistical Office and the Ministry of Health and Welfare Family Department, Korea has already estimated that the proportion of the elderly population aged 65 or over is estimated to be higher than the global average, and has already entered the "Aging Society". Moreover, it is estimated that the quality of life of the people improved by reaching the information society earlier than expected. However, unlike young people, elderly people show clear differences in access and use of information that is difficult to access new machines easily and cause intergenerational digital divide phenomenon. In order to solve such a phenomenon, we implemented a speech recognition based smart mirror system for elderly people. The installed system can provide lighting control, weather forecast and subway time information search service of the using voice recognition. Through the implemented system, it is expected that the elderly will have accessibility to new machines, information that gives a feeling of participating in the change of the new era will be obtained and the effect of living convenience will be expected.