• Convergence Security Journal
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• v.22 no.1
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• pp.135-140
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• 2022

This study aims to analyze exercise cases and issues using smart devices and technologies, and to present the development direction of a smart exercise environment suitable for the wellness life of active seniors with high activity and economic power unlike the existing silver generation. In the fitness industry, the subscription economy that regularly receives or uses necessary exercise tools, services, and digital content is expanding, and business models based on hardware sales and content subscription continue to emerge. In order to have value competitiveness as a platform that provides active seniors with integrated exercise services for health care, not only fitness centers, but also home training exercise equipment, fitness-related applications, and smart wearable device markets should be organically connected to form an expanded total platform. In order to have value competitiveness as a platform that provides active seniors with integrated exercise services for health care, not only fitness centers, but also home training exercise equipment, fitness-related applications, and smart wearable device markets should be organically connected to form an expanded total platform. The linkage of the digital healthcare function, which provides real-time changes to exercise programs based on continuous monitoring and feed back through wearable devices before, after, and during exercise by receiving and selecting exercise programs suitable for individual health status, is the differentiating factor in the smart fitness model.

• Journal of the Korean Society of Physical Medicine
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• v.14 no.4
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• pp.133-142
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• 2019

PURPOSE: This study examined the effectiveness of an active lifestyle on the HRV and fitness of the older female adults. METHODS: Eighty female older adults (72.68±3.78 years) were sampled from a senior wellness institute. Accelerometers were distributed to each participant to have the device attached to them for one week, and the physical activity data (Energy expenditure in Kcal) of each participant were analyzed. Participants were divided into 3 groups (<1,000 Kcal vs 1,000 to 1,500 Kcal vs ≥1,500 Kcal) based on the amount of weekly physical activity. Before and after data analysis, the HRV was measured at resting state and the Senior Fitness Test was performed. RESULTS: One way ANOVA showed a significant difference in the HRV between the three groups. Group A (≥ 1,500 Kcal) was superior in HF and HF/HF + LF whereas Group C (<1,000 Kcal) showed high level of LF, LF/HF, and LF/HF+LF. The same statistics revealed significant differences in fitness. Most of the fitness variables were superior in Group A and B compared to Group C. Significant correlations were observed between physical activity and both HRV and in fitness. CONCLUSION: Theses results suggest that an active lifestyle may be an effective intervention for the prevention of both cardiometabolic disorder and improvement of the fitness level in older female adults.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.271-275
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• 2022

This study analyzed the characteristics that affect the direction change of public fitness in the current COVID-19 situation. As a result of the study, if public and active fitness-related awareness is strengthened and fitness places require a transition from outdoor fitness to home training, fitness activities require a transition from offline fitness to offline + online sports fitness, and finally, in the case of fitness equipment, there is an increase in demand for home training. Based on these characteristics, this study is expected to help the entire nation achieve athletic life and a healthy society by presenting its course of action on the change of direction of popular movement.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.4 no.2
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• pp.267-282
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• 1997

This study was to test the relationship between regular physical exercise and physical fitness in nursing students. These subjects were 54 volunteers who agreed with intention of this study and were composed of 24 active group and 30 non-active group. The selected physical fitness tests were grip strength and back strength for measuring muscular strength, sargent jump and standing broad jump for measuring power, push-up, sit-up, and heart rate for measuring total endurance, reaction time and side step test for measuring agility, stick test and stork stand for measuring balance, and trunk flexion and trunk extension for measuring flexibility. The conclusion acquired was as follows : 1) Grip strength had significant difference between active group of $29.5{\pm}5.9kg$ and non-active group $25.4{\pm}7.2kg$(t=2.283, p=.027), and back strength between active group of $54.1{\pm}13.7kg$ and non-active group of $44.7{\pm}15.7kg$(t=2.310, p=.025), 2) Sargent jump was lower with non-active group($44.9{\pm}8.6cm$) than with active group($45.3{\pm}8.8cm$), however, was not significant(t=.182, p=.856). Standing broad jump was significantly lower with non-active group of $161.3{\pm}28.7cm$ than with active group of $191.4{\pm}27.0cm$(t=3.939, p=.000). 3) Push-up showed significant difference between active group of $25.3{\pm}12.3times$ and non-active group of $11.5{\pm}5.1times$(t=5.572, p=.000), and sit-up between active group of $21.8{\pm}7.4times$ and non-active group of $17.1{\pm}5.8times$(t=2.631, p=.011), and heart rate between actvie group of $110.5{\pm}12.8$beats/min and non-active group of $121.5{\pm}9.5$beats/min(t=-3.648, p=.001). 4) Reaction time was significantly higher with non-active group of $.300{\pm}.051sec$ than with active group of $.341{\pm}.041sec$(t=-3.285, p=.002). Side step test was lower with non-active group($8.8{\pm}1.1times$) than with active group($9.2{\pm}1.2times$), however, was not significant (t=1.309, p=.196). 5) Stick test showed not significant difference between active group of $25.8{\pm}14.8sec$ and non-active group of $30.7{\pm}17.9sec$(t=-1.058, p=.295), and stork stand between active group of $4.5{\pm}3.2sec$ and non-active group of $3.7{\pm}3.5sec$(t=.918, p=.363). 6) Trunk flexion came out not significant difference between active group of $14.2{\pm}5.0cm$ and non-active group of $15.8{\pm}7.3cm$(t=-.927, p=.358), and trunk extension between active group of $67.1{\pm}6.5cm$ and non-active group of $67.3{\pm}6.6cm$(t=-.140, p=.889). 7) Power was shown to be significantly related to total endurance(r=.717, p=.000 ; r-.739, p=.000). 8) Total endurance was shown to be significantly related to agility(r=-.752, p=.000 ; r=.684, p=.000 ; r=-.664, p=.000 ; r=.598, p=.002 ; r=.864, p=.000 ; r=-.536, p=.007). These results suggest that regular physical exercise is effective in promoting and maintaining physical fitness. As the further study, it is necessary to reinvestigate the effect with more refined design.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.489-497
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• 2016

The purpose of this study is to examine the effect of milk protein intake and band exercise on active fitness and metabolism risk factor of elderly women for 8 weeks. The two groups were classified into one group(TG) with milk protein intake and band exercise both, and the other group(CG) that was controled. The group of TG was applied doing milk protein intake 3 times for a day, and doing band exercise 4 times for 60 minutes a week. The intensity of the exercise was RPE<17. Each measurement variable was measured before and after 8 weeks to investigate the effect. This study got the result with this step. First, TG has shown small interaction with active fitness. Second, TG has shown small interaction with metabolism risk factor. Therefore, this study gives us the positive result of the effect of milk protein intake and band exercise on active fitness and metabolism risk factor of elderly women for 8 weeks. However, it has limitation to verify effect of milk protein intake and band exercise.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2405-2407
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• 2001

In this paper, we apply and evolutionary computation(EC), probabilistic optimization algorithm, to active contour. A number of problems exist associated with such as algorithm initialization, existence of local minima, non-convex search space, and the selection of model parameters in conventional models. We propose an adequate fitness function for these problems. The determination of fitness function adequate to active contour using EC is important in search capability. As a result of applying the proposed method to non-convex object shape, we improve the unstability and contraction phenomena, in nature, of snake generated in deformable contour optimization.

• The Journal of Korean Physical Therapy
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• v.18 no.5
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• pp.35-41
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• 2006

Purpose: This study was to determine the effects of exercise program for knee osteoarthritis on the physical fitness in elderly. The progressive exercise program included flexibility, strength, endurance, active range of motion and function activities. Methods: Nineteen subjects with osteoarthritis of the knees randomized to exercise group(n=10) or control group(n=9), but fourteen subjects completed the trial with an adherence of 70% to the intervention and 77% to the control. The physical fitness(back muscle strength, grip strength, flexibility, muscle power, agility, equilibrium) were evaluated with Helmas(Health Management System) made by Sewoo system at pre- and post- intervention. Results: The data were analysed with the two-way repeated ANOVA and paired t-test. The physical fitness had no difference among the groups and times except muscle power. Within experimental group, muscle power and agility were significantly increased between pre and post intervention, while the control group showed no change. Conclusion: Exercise program for knee osteoarthirits appear to be effective in muscle power and agility.

• Korean Journal of Adult Nursing
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• v.23 no.4
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• pp.351-362
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• 2011

Purpose: This study was designed to examine fear of falling, depression, physical fitness, and physical activity and further to identify the factors that predict physical activity among community dwelling elders. Methods: This study was a cross-sectional descriptive survey. Participants were 153 community dwelling elders from G city. Data were collected using structured questionnaires and were analyzed using descriptive statistics, ${\chi}^2$-test, t-test, ANOVA, and multinominal logistic regression analysis. Results: Activity levers were coded as inactive, minimal activity and enhancing physical active. Thirty-three point three percent reported inactivity, forty-seven point seven percent reported minimal activity and nineteen percent reported health enhancing physical activity. There were significant differences in physical activity relative to gender, age, falling experience, perceived health, and living situation. Further, there was significant difference in fear of falling, depression, and physical fitness by physical activity. For instance, Fear of falling (OR=1.04, p=.014) was a significant predicting factor for physical activity, In contrast for the enhancing physical active the variables of gender (OR=0.28, p=.046), age (OR=0.86, p=.021), perceived health (fair: OR=13.61, p=.006), fear of falling (OR=1.04, p=.026), and two-minute step (OR=1.04, p=.049) were significant. Conclusion: The results of this study indicate that physical activity intervention programs are needed to increase physical activity for community dwelling elders. Physical activity intervention programs should be developed and evaluated.

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.591-600
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• 2015

Recently high interest in health and fitness has led to vibrant researches for the active fitness system to learn and enjoy the exercise program for oneself. In this paper, we design and implement the active spinning training system which enables user to have self-learning and experience of customized spinning training program by the biometric and movement information acquired from user's physiological signals. The proposed system provides the appropriate difficulty of spinning program which reflects the concordance rate of spinning dance gestures and the amount of exercising by analyzing the physical status of participant from his brain and pulse waves and recognizing the skeletal movement in real time. For the higher exercise effect, the system offers a virtual personal trainer to show the correct poses and controls the level of difficulty depending on the concordance rate of participant's motions. The experiment with various participants through the proposed system shows that it is able to help users in getting the available exercise effect in comparatively short time.

• Research in Community and Public Health Nursing
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• v.11 no.1
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• pp.105-116
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• 2000

The purpose of this study is to evaluate the relationship of blood pressure with dietary habit and level of physical fitness of middle-aged male workers by age. The study subjects included 511 male employees who have worked at a company in C City, whose age was more than 40 years old. Between April 10 and May 30. 1998, all of the study subjects measured physical fitness (Balance, strength, power, agility, flexibility and endurance) and blood pressure. A questionnair was administered for dietary habit and socio-demographic characteristics. The average age (SD) of the study subjects was 46.61(3.98) years. The study subjects were classified by age into 3 groups; 40-44 aged group(34.6%), 45-49 aged group(41.3%), and 50-54 aged group (24.1%). The score of dietary habit of 40-44 aged group was $69.77{\pm}5.82$. that of 45-49 aged group was $69.77{\pm}5.83$, and that of 50-54 aged group was $71.85{\pm}6.82$(p=0.005). But age of health physical fitness tend to weaken in the age of 40-44. Systolic(p=.011) and Diastolic blood pressure (p= .011) were significantly increased with age increment. Diastolic blood pressure and dietary habit of 45-49 aged group showed the significant negative-correlation(r= .280. P<0.05). and Diastolic blood pressure and age of health physical fitness of 40-44 aged group showed the significant positive-correlation(r= .182. P<0.05). On the basis of the results of this study. I hope occupational nurses should play an active role to improve dietary habit and physical fitness for prevention of hypertension with increase of age in middle-aged male workers.