• Journal of the Korean Society for Aviation and Aeronautics
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• v.21 no.3
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• pp.15-20
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• 2013

Pilots' fatigue is one of the most serious threat to flying safety. Fatigue is influenced by many factors like sleep deprivation, daily activities, aging, stress, etc. This study was designed to investigate military pilots' daily activities. 20 pilots' daily activity was monitored by activity monitor, Fitbit(R), and the survey about sleep time and flight time was conducted. They placed Fitbit(R) on their waist for 5 days. During flight, they removed Fitbit(R) that had been used for checking their steps and walking distances. It was found that the average sleep time is 6.7 hours for fighter pilots. It was a little shorter than average sleep time for adults, 8 hours. Average steps per day was 6,838 which is more than sedentary worker's but less than active worker's. Their daily activities were not as high as we had expected. But their sleep time was very short. Flight surgeons should recommend them to take a rest and get sleep during rest period.

• International journal of advanced smart convergence
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• v.7 no.4
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• pp.27-39
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• 2018

Since the global positioning system (GPS) has been included in mobile devices (e.g., for car navigation, in smartphones, and in smart watches), the impact of personal GPS log data on daily life has been unprecedented. For example, such log data have been used to solve public problems, such as mass transit traffic patterns, finding optimum travelers' routes, and determining prospective business zones. However, a real-time analysis technique for GPS log data has been unattainable due to theoretical limitations. We introduced a machine learning model in order to resolve the limitation. In this paper presents a new, three-stage real-time prediction model for a person's daily route activity. In the first stage, a machine learning-based clustering algorithm is adopted for place detection. The training data set was a personal GPS tracking history. In the second stage, prediction of a new person's transient mode is studied. In the third stage, to represent the person's activity on those daily routes, inference rules are applied.

• Korean Journal of Community Nutrition
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• v.9 no.3
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• pp.285-291
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• 2004

The purpose of this study was to compare the energy expenditure and energy intake of normal-weight and overweight Korean adults. We recruited 242 adults to determine resting energy expenditure, physical activity and energy intake. Resting energy expenditure was measured by indirect calorimetry. Energy intake for consecutive two days was assessed by 24 hour recall method. Daily activity pattern for 24 hour was collected from each subject. Body weight, lean body mass and percentage body fat were measured by INBODY 3.0. The subject were divided into normal ($20\leqBMI$ ＜ 25) and overweight ($BMI \geq 25$) groups by BMI. There was no significant difference in intake of energy between two groups. Energy intake of each group was lower than the 7th Korean RDA of energy. Overweight subjects showed significantly lower REE/kg body weight. However, REE/kg lean body mass (LBM) did not differ between the two groups. Total activity energy was significantly higher in the overweight group compared to the normal group. Daily activity coefficient of overweight group in male was lower than that of normal group. Daily activity coefficient was almost same in two female groups. LBM was highly correlated with REE and total energy expenditure. We concluded that the overweight group consumed more energy than the normal group due to the heavier body weight.

• Journal of East-West Nursing Research
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• v.13 no.2
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• pp.138-146
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• 2007

Introduction: The purpose of this study was to examine relationships among stroke patients' activities of daily living(ADL), depression, and quality of life(QOL). Methods: Data were collected by questionnaires from 251 stroke patients at 5 hospitals and 2 public health centers in Seoul and Kyonggi-Do. The following Questionnaires were utilized for this study: Functional independence measure(FIM) from Grange, Hamilton, and Sherwin(1986), the Korean CES-D scale from Randloff(1977), and quality of life scale from Bang, Hwal-Lan(1991). Results: Data were analyzed using the pearson correlation, t-test, and ANOVA with SPSS/WIN 12.0. The results of this study were as follow; The subjects consisted of 110 fern ales and 141 m ales. The mean score of activity of daily living was 87.2(range 18-126). Age, family history, comorbidity, paralysis site, and duration after diagnosis were significantly associated with activity of daily living. The mean score of depression was 23.8(range 11-44). Age, gender, education, and job were significantly associated with depression. The mean score of quality of life scale was 3.0(range 1-5). Gender, religion, education, job, economic status, and duration after diagnosis were significantly associated with quality of life. Relationships among activity daily living, depression, and quality of life scale: The activity of daily living had a negative relationship with depression score. The activity of daily living had a positive relationship with QOL score. The depression had a negative relationship with QOL score. Conclusion: Based on these results, it is necessary to run rehabilitation programs to improve stroke patients' ADL, depression. Also, it research for of identifying stroke patients' quality of life according to rehabilitation program.

• 한국노년학
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• v.38 no.4
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• pp.1083-1105
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• 2018

The present study sought to capture day-to-day fluctuation of the daily happiness among Korean urban older adults and to examine whether the within person fluctuation of daily happiness is explained by the social and physical activities the older adults experience each day. We also examined whether the within person association between daily social, physical activities and the daily happiness varies by individual characteristics(i.e. gender, age, educational level and health). In addition, we explored the relationships between the level and fluctuation of daily happiness and the level of global happiness. The data was collected by multi-method approach, which includes general survey, daily diary method and collection of physical activity data through the activity monitors. In total, 175 urban older adults participated for seven days of daily diary survey. The data about the number of steps and the time spent on sedentary activities, light intensity physical activities and moderate to vigorous intensity physical activities were also collected during the same period from 16 sub-samples using activity monitors. Hierarchical linear modeling was applied for the analysis. The results were as below. First, the level of happiness of older adults fluctuated during a week, and the patterns of fluctuation varied by the gender and the health. Second, socializing with their children and friends elevated their levels of happiness. Also the impact of contacts with siblings on the level of daily happiness was greater for the unhealthy group compare to the healthy group. Third, older adults were happier on the days when they walked more, but the level of daily happiness decreased on the days when they spent longer time for low intensity physical activities. Lastly, the higher level of daily happiness were related to the higher level of global happiness, but the degree of fluctuation of daily happiness was not related to the level of global happiness. The implications of these results and suggestions for future research are discussed.

• Journal of the Korean Dietetic Association
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• v.12 no.3
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• pp.277-288
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• 2006

The purpose of this study was to assess the energy expenditure and investigate the relationship between related variables of 57 dieticians in Youngdong-area. The average daily number of steps was found to be 9358.0$\pm$2714.3 steps/day on weekdays and 7862.9$\pm$2504.9 steps/day during weekends. Hourly step rates on weekdays and weekends came to 570.6$\pm$249.8 steps/hr and 564.0$\pm$224.8 steps/hr, respectively. Activity coefficient of subjects was higher on weekdays (1.56) than weekends (1.51, p<0.05). Resting energy expenditure estimated by the Harris-Benedict formula, WHO/NAO/FAO formula as well as formulas based on body surface area and DRIs (Dietary Reference Intake for Koreans) were calculated to be 1333.7$\pm$89.5kcal/day, 1351.0$\pm$123.3kcal/day, 1388.5$\pm$100.3kcal/day and 1295.9$\pm$90.8kcal/day, respectively. Using these resting energy expenditures and the activity coefficients, daily energy expenditures were calculated to be from 2039.7kcal/day to 2183.5kcal/day on weekdays and from 2016.1kcal/day to 2159.2kcal/day on weekends. Meanwhile energy intakes of subjects on weekdays and weekends were 1594.7$\pm$698.3kcal and 2152.9$\pm$768.0kcal, respectively. The activity coefficient (1.49) of dieticians who managed less than 500 meals per day was significantly lower than that of dieticians who served more than 500 meals per day. Dieticians of schools located in rural areas had higher activity coefficient (1.59) than those of schools located in urban or island settings. These results suggest that work analysis and development of management strategies are necessary to improve dieticians' productivity.

• Journal of KIISE
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• v.43 no.7
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• pp.781-785
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• 2016

Learning from human behaviors in the real world is essential for human-aware intelligent systems such as smart assistants and autonomous robots. Most of research focuses on correlations between sensory patterns and a label for each activity. However, human activity is a combination of several event contexts and is a narrative story in and of itself. We propose a novel approach of human activity prediction based on event cognition. Egocentric multi-sensor data are collected from an individual's daily life by using a wearable device and smartphone. Event contexts about location, scene and activities are then recognized, and finally the users" daily activities are predicted from a decision rule based on the event contexts. The proposed method has been evaluated on a wearable sensor data collected from the real world over 2 weeks by 2 people. Experimental results showed improved recognition accuracies when using the proposed method comparing to results directly using sensory features.

• Journal of Nutrition and Health
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• v.24 no.1
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• pp.30-39
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• 1991

This study was designed to investigate the effects of dietary calcium. serum estrogen level and physical activity on the bone status of 116 healthy elderly women living in urban area. Current calcium intake was assessed by convenient method(refered to as Ca intake) and calcium containing food frequency method(refered to as Ca index) Daily activity record was used for the estimation of physical activity level, and serum estrogen level was measured from fasting blood of subjects. The rate of bone resorption was evaluated by the determination of hydroxyproline(Hpr) in fasting urine with correction for creatinine excretion. The results of this study are summarized as follows : 1) Average daily Ca intake of subjects was 621.4$\pm$155.8mg, which is above the Korean recommended dietary allowances. However 44.8% of the subjects consumed Ca below RDA level. Ca index score was significantly correlated with the bone status(P<0.05), Ca intake did not show significant correlation with the bone status although a positive trend of influence was evident. 2) Average serum estrogen level of subjects was 18.7$\pm$9.8pg Contrary to our anticipation. estrogen level did not show any significant relation to age and bone status. 3) Daily physical activity was classified into four categories by activity intensity : sedentary. moderate, active and severe. The average physical activity of subjects belong to moderate level. and the bone status was significantly related to the physical activity(P<0.01) 4) Among other influential factors such as age, pocket-money. family type. drinking, smoking and BMI, there was a significant difference between bone status and BMI(P<0.05). 5) Multiple regression analysis of variables showed that physical activity has greater effect than other variables when the entire subjects were taken into account. However. eliminating the subjects whose bone status rated as excellent(Hpr/cr<0.009), Ca index showed higher correlation than physical activity. These results have demonstrated that dietary calcium intake is the primary important factor for keeping good bone health and that bone status of subjects with a sufficient calcium intake is affected by various factors such as physical activity, age, smoking. BMI and others.

• Journal of Sensor Science and Technology
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• v.16 no.6
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• pp.467-474
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• 2007

The real-time monitoring about the activity of the human provides useful information about the activity quantity and ability. The present study implemented a small-size and low-power acceleration monitoring system for convenient monitoring of activity quantity and recognition of emergent situations such as falling during daily life. For the wireless transmission of acceleration sensor signal, we developed a wireless transmission system based on a wireless sensor network. In addition, we developed a program for storing and monitoring wirelessly transmitted signals on PC in real-time. The performance of the implemented system was evaluated by assessing the output characteristic of the system according to the change of posture, and parameters and acontext recognition algorithm were developed in order to monitor activity volume during daily life and to recognize emergent situations such as falling. In particular, recognition error in the sudden change of acceleration was minimized by the application of a falling correction algorithm

• Korean Journal of Poultry Science
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• v.23 no.2
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• pp.85-98
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• 1996

Results of experiments on the nutrient requirements and feeding system of broiler breeder hens were reviewed, and daily requirements of energy and protein were calculated using the prediction equations reported by Scott(1977) and NRC(1981). The experimental reports on daily ME needs of broiler breeder hens were ranged from 400 to 450 kcal, however, the ME needs of caged hens were 92~93% to those of floor-housed hens due to the difference of ME need for activity. The ME needs of broiler breeders decreased with increasing environmental temperature corresponding to a drop of 25 kcal per day for each 5˚C rise. About 80~90% of the daily ME needs were used for body rnaintenance and activity of hens. Experimental results on daily protein needs of broiler breeder hens were ranged from 18 to 22 g, however, calculated protein needs decreased as the BW gain and eggmass output decreased after peak production, and about 60~65% of the daily protein needs were used for egg production. In the current practice, broiler breeder hens are restricted in feed, and consume their daily allowance in the first 2 to 6 h after dawn. The results suggest that eggshell quality can be significantly improved in hens fed during the afternoon when shell calcification is initiated, with no adverse effect on laying rate and fertility of eggs.