• 한국항공운항학회지
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• 제21권3호
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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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• 제7권4호
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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.

• 대한지역사회영양학회지
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• 제9권3호
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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.

• 동서간호학연구지
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• 제13권2호
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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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• 제38권4호
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• pp.1083-1105
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• 2018

본 연구에서는 서울 및 수도권에 거주하는 65세 이상의 노인이 매일 느끼는 일상적 행복감(daily happiness)이 일주일 동안 변동하는지, 매일의 사회적 교류와 신체활동이 개인 내 일상적 행복감의 변동과 어떤 관련성을 갖는지 탐색한다. 다음으로, 노인의 성별, 연령, 학력, 건강에 따라 사회적 교류 및 신체활동과 일상적 행복감 사이의 관련성이 달라지는지 살펴본다. 마지막으로 일상적 행복감의 수준과 변동이 전반적 행복감(global happiness) 수준과 어떻게 관계되는지 확인한다. 이를 위하여 일주일 동안 수집한 생활일지(daily diary) 자료(n=175명${\times}$7일=1225응답)와 동일 기간 동안 활동량계로 수집한 신체활동 자료(n=16명${\times}$7일=112응답)를 활용하여 위계적 회귀분석과 위계적 선형모형(HLM)으로 분석하였다. 분석결과 첫째, 노인의 일상적 행복감 수준은 일주일 동안 변동하고 노인의 젠더와 건강에 따라 일상적 행복감의 수준과 변동 정도에 차이가 있었다. 둘째, 자녀와 대화한 날과 친구와 만난 날 노인의 일상적 행복감이 더 높아졌고, 형제자매와의 만남은 일상적 행복감 수준에 유의한 영향을 미치지 않았다. 하지만 건강상태와의 상호작용항을 투입 결과, 건강하지 않은 노인은 건강한 노인에 비해 형제자매와 만난 날 일상적 행복감이 더 큰 폭으로 높아지는 것이 발견되었다. 셋째, 많이 걸은 날은 일상적 행복감 수준이 높았으며, 저강도 활동시간이 긴 날은 일상적 행복감의 수준이 낮아졌다. 넷째, 일상적 행복감 수준과 전반적 행복감 수준 사이에는 긍정적 관계가 관찰되었으나, 일상적 행복감의 변동 정도는 전반적 행복과 유의미한 관련성을 보이지 않았다. 이상의 결과가 갖는 함의와 후속연구에 대한 제언을 제시하였다.

• 대한영양사협회학술지
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• 제12권3호
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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.

• 정보과학회 논문지
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• 제43권7호
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• pp.781-785
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• 2016

실제 환경에서 사람의 일상적인 활동을 학습하는 기술은 스마트 비서나 자율지능 로봇과 같은 인지 지능 시스템 개발을 위해 필요한 핵심 기술이다. 일상을 예측하는 대다수의 연구들은 센서 데이터의 패턴과 일상 활동 사이의 직접적인 상관관계를 탐색하는 것에 집중하였다. 하지만 일상에서의 인간 활동은 하나의 레이블로 표현하기 어려운 다수의 사건 집합이고 또한 서술 가능한 특성을 지니고 있다. 본고에서는 일상을 구성하는 사건 요소들을 우선 인식하고, 이후 일상 활동을 학습 및 예측하는 방법을 제안한다. 제안하는 방법은 개인의 일상에서 웨어러블 장치와 스마트폰으로부터 수집된 일인칭 시점의 멀티 센서 데이터로부터 위치 좌표, 장면 영상, 그리고 신체적 움직임에 기인한 사건 요소들을 각각 인식한 뒤, 이 정보들이 특정 활동 내역에 따라 조합되는 규칙을 학습하여 최종적으로 사용자의 일상 활동을 예측한다. 두 명의 실험 참가자가 각각 2주간 수집한 센서 데이터를 이용하여 실험한 결과는 제안한 방법이 센서 데이터로부터 추출된 특징을 일차적으로 사용하여 분류하는 기존의 방법과 비교하여 향상된 성능을 보였다.

• Journal of Nutrition and Health
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• 제24권1호
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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.

• 센서학회지
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• 제16권6호
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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

• 한국가금학회지
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• 제23권2호
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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.