• Advances in Computational Design
• /
• v.4 no.2
• /
• pp.73-90
• /
• 2019

The growth in the number of single-member households is a critical issue worldwide, especially among the elderly. For those living alone, who may be unaware of their health status or routines that could improve their health, a continuous healthcare monitoring system could provide valuable feedback. Assessing the performance adequacy of activities of daily living (ADL) can serve as a measure of an individual's health status; previous research has focused on determining a person's daily activities and extracting the most frequently performed behavioral patterns using camera recordings or wearable sensing techniques. However, existing methods used to extract common patterns of an occupant's activities in the home fail to address the spatio-temporal dimensions of human activities simultaneously. Though multiple sequence alignment (MSA) offers some advantages - such as inherent containment of the spatio-temporal data in sequence format, and rapid identification of hidden patterns - MSA has rarely been used to extract in-home ADL routines. This research proposes a method to extract a household occupant's ADL routines from a cumulative spatio-temporal data log of occupancy collected using a non-intrusive method (i.e., a tomographic motion detection system). The findings from an occupant's 28-day spatio-temporal activity log demonstrate the capacity of the proposed approach to identify routine patterns of an occupant's daily activities and to reveal the order, duration, and frequency of routine activities. Routine ADL patterns identified from the proposed approach are expected to provide a basis for detecting/evaluating abrupt or gradual changes of an occupant's ADL patterns that result from a physical or mental disorder, and can offer valuable information for home automation applications by enabling the prediction of ADL patterns.

• International Journal of Advanced Culture Technology
• /
• v.8 no.4
• /
• pp.82-88
• /
• 2020

With the development of medical care in the 21st century and the rapid development of the 4th industry, electronic devices and household goods taking into account the physical and mental aging of the silver generation have been developed, and apps related to health and health are generally developed and operated. The apps currently used by the silver generation are a form that provides information on diseases by focusing on prevention rather than treatment, such as safety management apps for the elderly living alone and methods for preventing diseases. There are not many apps that provide information on foods that have a direct effect and nutrients in that food, and research on apps that can obtain information about individual foods is insufficient. In this paper, we propose an app that analyzes food factors and provides self-medication for health promotion of the silver generation. This app allows the silver generation to conveniently and easily obtain information such as nutrients, calories, and efficacy of food they need. In addition, this app collects/categorizes healthy food information through a textom solution-based crawling agent, and stores highly relevant words in a data resource. In addition, wide deep learning was applied to enable self-medication recommendations for food. When this technique is applied, the most appropriate healthy food is suggested to people with similar eating patterns and tastes in the same age group, and users can receive recommendations on customized healthy foods that they need before eating. This made it possible to obtain convenient healthy food information through a customized interface for the elderly through a smartphone.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.4
• /
• pp.111-118
• /
• 2022

In recent years, the number of single-person elderly households has increased, but when an emergency situation occurs inside the house in the case of single-person households, it is difficult to inform the outside world. Various smart home solutions have been proposed to detect emergency situations in single-person households, but it is difficult to use video media such as home CCTV, which has problems in the privacy area. Furthermore, if only a single sensor is used to analyze the abnormal situation of the elderly in the house, accurate situational analysis is limited due to the constraint of data amount. In this paper, therefore, we propose an algorithm of abnormal situation detection fusion inside the house by fusing 2DLiDAR, dust, and voice sensors, which are closely related to everyday life while protecting privacy, based on their correlations. Moreover, this paper proves the algorithm's reliability through data collected in a real-world environment. Adnormal situations that are detectable and undetectable by the proposed algorithm are presented. This study focuses on the detection of adnormal situations in the house and will be helpful in the lives of single-household users.

• Journal of Korea Entertainment Industry Association
• /
• v.14 no.6
• /
• pp.201-208
• /
• 2020

The purpose of this study was to analyze the claim data of Health Insurance Review & Assessment Service to determine what factors affected the length of stay in patients aged 65 and older and undergoing total knee arthroplasty due to the principal diagnosis of gonarthrosis by the type of medical institutions. As a result of making an analysis, gender, age, medical security type, severity, residential area and the number of sickbeds were identified as the factors that influenced the length of stay in each type of medical institutions. At this point in time when an increase in the elderly population triggered by population aging and another subsequent increase in medical expenses put a heavy strain on household and national economy, it's necessary to consider how to shorten the length of stay and how to ensure the efficient management of sickbeds based on the findings of this study. In addition, this study is of significance in that it could be used as basic data on quality life-care for elderly patients by the introduction of a systematic management system geared toward lessening patient burden for medical expenses.

• Korean Journal of Organic Agriculture
• /
• v.30 no.1
• /
• pp.1-20
• /
• 2022

With the recent rapid increase in single-person households, food companies are releasing small packaging and small-capacity products regardless of product line such as beverages, fresh foods, and home snacks, and food consumption patterns are also changing. Meanwhile, as a series of accidents related to food safety occurred during cost-effective consumption pursuing price-performance, more consumers wanted to choose products that have been proven safe even with higher money due to food safety anxiety. Considering the concept of 'safety' of food, this study by using the 'ordered probit model' empirically investigated whether there is a difference in the degree of preference for safety in food consumption behavior between single-person and multi-person households. Summarizing the results, it was found that women rather than men, and elderly households among young and single-person households had a higher demand for food safety. The results of marginal effects considering food safety variables show that respondents with low frequency of delivery and take-out use are considering food safety more, and that single-person households are considering safety more than multi-person households. In the future, the population structure of Korea will continue to increase in single-person and elderly households, and women's economic activities will also continue to increase. Therefore, the growing home convenience food market needs marketing strategies to secure and emphasize food safety, such as sterilizing treatment technology for hygiene and safe container development from environmental hormones, and needs a lot of support and attention to meet changes in food culture trends and demographic structure.

• Journal of Preventive Medicine and Public Health
• /
• v.34 no.1
• /
• pp.89-99
• /
• 2001

Objectives : To describe the characteristics of a mumps epidemic in Cheju-do, 1998 and to identify the risk factors associated with mumps infection. Methods : To estimate attack rate, previously collected data from the Nationally Notifiable Communicable Disease Reporting System and School Health Reporting System, temporarily administered by Division of Education. as well as additional surveillance data were used. In order to identify the clinical characteristics and risk factors associated with mumps, we conducted a questionnaire survey in 17 schools (9 elementary, 4 middle, and 4 high schools) among a population that included healthy students. Results : From March 3 to August 31, 2,195 cases of mumps were identified, and patients under 20 years of age accounted for 2,162 cases (attack rate 13.2, 95% CI 12.6-13.7/1,000). The attack rate for the population under 20 years of age was the highest in Nam county (44.7/1,000), nod in the 7-12 years old sub-group(>20.0/1,000). There was no sexual difference. 80.5% and 59.7% of patients presented periauricular and submandibular swelling respectively. Aseptic meningitis was a complication in 2.9% of cases, orchitis in 1.3%, epididymitis in 0.9% and oophoritis in 0.6% respectively. The overall MMR vaccination rate was 59.1% and it decreased in accordance with increasing age. In students aged 10 years old or below, household contact and MMR vaccination status was significantly associated with infection, and only among students with household contact, the risk of one dose MMR(OR=10.22, 95% CI 2.92-35.78) and non-vaccination (OR=11.62, 95% CI 1.96-68.96) was significantly greater when. compared with that of two dose vaccination. Among students aged 11 years old or above, household contact history was significantly associated and MMR vaccination status was not associated. Conclusions : Low vaccination rate and vaccine failure were thought to predispose the population for this large outbreak. To prevent sustained mumps outbreaks, a second MMR vaccination should be encouraged and catch up vaccinations should be given to elderly children who remain susceptible.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.14 no.3
• /
• pp.1090-1099
• /
• 2013

The purpose of this study was to examine difference in life satisfaction by social activity type in baby boomers. Sampling 1,115 baby boomers, gender and region were assigned. A questionnaire survey was carried out from August to October in 2011. As a result of research, first, the typology of social activity in baby boomers includes 3 groups. The passive social-participation type is the cluster to which 36.8% of the baby boomers belong. They do not join income activity or civic-group activity at all. A case of doing religious activity or family activity includes a minority. There are primarily lots of women and posteriori baby boomers. Academic background level or household income is lower compared to other clusters. The life satisfaction level is moderate. Second, the active social-participation type is the cluster to which 33.8% of the baby boomers belong. They are positive in all the social activities including income activity. What there are lots of women and posteriori baby boomers is similar to the passive social-participation type. However, the academic background or the averagely monthly household income is the highest compared to other clusters. Even the life satisfaction level is the highest. Third, the economic activity orientation type is the cluster to which 29.4% of the baby boomers belong. They participate in income activity, but don't participate in civic-group activity, educational activity, and social activity such as spending time alone. Distribution of priori-and-posteriori baby boomers, distribution of academic background, or monthly household income is moderate level of other clusters. However, unlike other clusters, there are many men. The life satisfaction level is the lowest. Based on result of this study are suggested ways to improve in life satisfaction by social activity type in baby boomers.

• Journal of the Korea Convergence Society
• /
• v.12 no.9
• /
• pp.49-56
• /
• 2021

The purpose of this study was to provide a convergence suggestion of health care and social welfare services by empirically analyzing the effects of chronic diseases and quality of life on subjective health cognition in single-household women aged 60 or over. This study was based on the 2016-2019 Korea National Health and Nutrition Examination Survey, and 1,111 women who had been divorced or bereaved in single-household aged 60 or over were selected. As a result, it was arthritis that showed the largest average difference in subjective health cognition according to the prevalence of chronic diseases. And in the multiple regression analysis that was controlled for demographic characteristics, chronic disease had a negative (-) effect on subjective health cognition, and quality of life had a positive (+) effect on subjective health cognition. The negative (-) factor that had the greatest effect on subjective health cognition was diabetes(-0.084) among chronic diseases, and the positive (+) factor was mobility(+0.173) among the quality of life. Therefore, it suggests that health care services for chronic diseases should be strengthened in order to improve the subjective health cognition of single-person households over 60 years old, and social welfare policies to improve the quality of life should be considered together in a convergence.

• Journal of Digital Convergence
• /
• v.17 no.3
• /
• pp.235-251
• /
• 2019

The purpose of this study was to investigate the single-person household's demand for a wearable healthcare system that provides the ischemic heart disease and cardiopulmonary alarm to be developed. In this study, in-depth interviews were conducted with six unmarried individuals in their thirties who were in the workplace and the results were interpreted by Giorgi's phenomenological analysis method. The study results indicated that although the wearable healthcare system was implemented with high-technology functions that serve the intended purpose, it is necessary to comprehensively consider factors such as aesthetics, comfort, and ease of washing. In this study, we found that the variables influencing the interviewees' intent to accept healthcare services are complex and cannot be attributed to one factor alone; this study has also shown a variety of interpersonal correlations. In addition, although health-care research focusing on the elderly has been conducted in the past, it is suggested that younger generations such as those in their thirties can also be studied as health care service adopters.

• Land and Housing Review
• /
• v.13 no.4
• /
• pp.1-12
• /
• 2022

Clean water is an essential urban infrastructure in human daily life, and water plays a vital role in public health. Due to restrictions on outdoor activities during COVID-19, time staying at home has increased. Therefore, it is plausible to assume that large-scale disaster incidences such as COVID-19 will affect water consumption. In this regard, this research aims to explore the factors that influence household water use during COVID-19. The analysis period of the study is 2020, and the geographical scope covers Seoul and Incheon. A dependent variable was water consumption in the autonomous districts of Seoul and Incheon, and the factors reflecting urban characteristics were used as independent variables. Multiple regression was used for analysis, and the unit of analysis was the autonomous district in Seoul and Incheon. The finding confirmed that the pandemic situation caused an increase in water consumption. In addition, it supports policy for the elderly so that they can use water without financial difficulty. It implies that a stable supply of clean water is essential for managing infectious diseases. The findings of this study are expected to provide some implications for efficient water supply policies and efficient water supply management in the event of the spread of infectious diseases such as COVID-19.