• The Journal of the Korean life insurance medical association
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• v.28 no.1_2
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• pp.25-30
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• 2009

• TTA Journal
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• s.156
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• pp.72-75
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• 2014

• Journal of the Korea Society of Computer and Information
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• v.14 no.5
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• pp.157-165
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• 2009

In this paper, we propose a distributed model that recognize ADLs of human can be occurred in daily living places. We collect and analyze user's environmental, location or activity information by simple sensor attached home devices or utensils. Based on these information, we provide a lifecare services by inferring the user's life pattern and health condition. But in order to provide a lifecare services well-refined activity recognition data are required and without enough inferred information it is very hard to build an ADL activity recognition model for high-level situation awareness. The sequence that generated by sensors are very helpful to infer the activities so we utilize the sequence to analyze an activity pattern and propose a distributed linear time inference algorithm. This algorithm is appropriate to recognize activities in small area like home, office or hospital. For performance evaluation, we test with an open data from MIT Media Lab and the recognition result shows over 75% accuracy.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.7
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• pp.1533-1540
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• 2012

u-Life care device collect body bio formation, and classify and store them in exercise patterns. Afterwards, the devices send the data through bluetooth wireless communication to the smart phones which set Google Android operation system at regular intervals. The information is checked out through application. u-Life care device calculates calories spent a day after monitoring activity quantity with 3-axis acceleration sensor. The device judges the status of health through body data mining and consults tailored exercise treatment. When sending body data, the device sends them in smart phone through Blue Tooth wireless communication at once. So, as a strong point, the device doesn't need mobile gateway or home gateway used for sending to web server information sensed from exercise life care products.

• The Journal of the Korean life insurance medical association
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• v.28 no.1_2
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• pp.19-24
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• 2009

This article discusses the use of fasting blood glucose (FBG) and hemoglobin A1c (A1c) to identify insurance applicants who have diabetes or are at high risk for developing diabetes in the future. The conclusion is that the addition of A1c to insurers'underwriting requirements, either as a reflex or a routine (universal) test, may be a cost-effective strategy to manage the risk associated with impaired fasting glucose (IFG) and diabetes.

• Journal of Korea Multimedia Society
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• v.21 no.8
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• pp.982-990
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• 2018

In recent years, many wearable devices and mobile apps related to life care have been developed, and a service for measuring the movement during walking and showing the amount of exercise has been provided. However, they do not measure walking in detail, so there may be errors in the total calorie consumption. If the user's behavior is measured by a multi-axis sensor and learned by a machine learning algorithm to recognize the kind of behavior, the detailed operation of walking can be autonomously distinguished and the total calorie consumption can be calculated more than the conventional method. In order to verify this, we measured activities and created a model using a machine learning algorithm. As a result of the comparison experiment, it was confirmed that the average accuracy was 12.5% or more higher than that of the conventional method. Also, in the measurement of the momentum, the calorie consumption accuracy is more than 49.53% than that of the conventional method. If the activity recognition is performed using the wearable device and the machine learning algorithm, the accuracy can be improved and the energy consumption calculation accuracy can be improved.

• Korean Journal of Community Nutrition
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• v.24 no.2
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• pp.97-105
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• 2019

Objectives: This study examined whether the infant feeding type and duration are related to the introduction of complementary feeding, and whether the appropriate introduction of complementary feeding in infancy is related to tooth decay in toddlers. Methods: The subjects were 1,521 toddlers among 2~3 year old children in the Korea National Health and Nutrition Examination Survey from 2008 to 2015. The toddlers were divided into the appropriate group (4~6 months) and delayed group (>6 months) according to the timing of complementary feeding introduction. Results: The delayed group were 26.5% of subjects and the formula feeding period in the appropriate group and delayed group was 8.4 and 10.3 months, respectively (P=0.002). On the other hand, there was no difference in the breastfeeding period between the appropriate group and delayed group (P=0.6955). Early childhood caries was more common in the delayed group (P=0.0065). The delayed introduction of complementary feeding was associated with a risk of early childhood caries according to the logistic models (OR 1.81, 95% CI 1.27-2.57). Conclusions: The introduction of complementary feeding is associated with early childhood caries. Therefore, the importance of the proper introduction of complementary feeding in infancy should be emphasized, and public relations and education for maternal care and breastfeeding should be provided through health care institutions.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.595-602
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• 2019

The Purpose of this study was to evaluated the effectiveness of Pilates exercise in women with obesity through a review of Pilates exercise used to enhance physical function and mental function. We searched randomized controlled trials using electronic databases. We also manually reviewed sources to identify additional relevant studies. We only included research that Pilates was applied and the researches that was combined with other kinds of exercises were excluded. We have found 11 researches that is corresponded to selected criteria and the investigation was conducted by dividing into two section which are physical and psychological effect of Pilates exercise. Pilates exercise affect body composition, hormone by providing increased muscle strength, quality of life, lumbar isokinetic muscle strength, adiponectin, ghrelin and confidence, as well as decreased body fat rate, insulin, RBP-4, leptin, total cholesterol, triglyceride. Pilates exercise for women with obesity has been shown to be highly effective in lots of health related factors. Therefore we recommend Pilates exercise strongly for the life care of obesity women.

• Korean Journal of Community Nutrition
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• v.23 no.2
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• pp.116-127
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• 2018

Objectives: The purpose of this study was to examine the coverage of the current mandatory nutrition labeling system on the nutrient intake of Koreans. Methods: KNHANES dietary intake data (2013) of 7,242 subjects were used in the analysis. KNHANES dietary intake data were collected by a 24-hour recall method by trained dietitians. For analysis, all food items consumed by the subjects were classified into two groups (foods with mandatory labeling and other foods). In the next step, all food items were reclassified into four groups according to the food type and nutrition labeling regulations: raw material food, processed food of raw material characteristics, processed foods without mandatory labeling, and processed foods with mandatory labeling. The intake of energy and five nutrients (carbohydrate, protein, fat, saturated fat, and sodium) of subjects from each food group were analyzed to determine the coverage of the mandatory nutrition labeling system among the total nutrient intake of Koreans. Results: The average intake of foods with mandatory labeling were 384g/day, which was approximately one quarter of the total daily food intake (1,544 g/day). The proportion of energy and five nutrients intake from foods with mandatory labeling was 18.1%~47.4%. The average food intake from the 4 food groups were 745 g/day (48.3%) for the raw food materials, 54 g/day (3.5%) for the processed food of raw material characteristics, 391 g/day (25.3%) for the processed foods without mandatory labeling, and 354 g/day (22.9%) for the processed foods with mandatory labeling. Conclusions: Although nutrition labeling is a useful tool for providing nutritional information to consumers, the coverage of current mandatory nutrition labeling system on daily nutrient intake of the Korean population is not high. To encourage informed choices and improve healthy eating habits of the Korean population, the nutrition labeling system should be expanded to include more food items and foodservice menus.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.74-80
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• 2021

This study investigated the process quality level of a K5 gas mask, which recently acquired its operational capability, through statistical process analysis for the mass production stages and their lots. The tensile adhesion strength was the only operating requirement in the manufacturing process of the K5 gas mask. For this purpose, the results of tensile adhesion strength between the lens and facial rubber during the initial and second mass production stages were analyzed using conventional statistical and statistical process analysis methods. The conventional statistical results indicated that the second mass production stage was better than the initial mass production stage. In cases of a control chart and process capability of tensile adhesion strength, the process quality level was also improved by following the mass production stages. The improvement was caused by process stabilization and work skill elevation. These results and methods are expected to be conducted and utilized in the third mass production stage. Moreover, quality improvement of K5 gas mask mass production can be achieved using the Lean 6 sigma procedure, MDAIC (Define, Measure, Analyze, Improve, Control).