• Title/Summary/Keyword: Daily Activity

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Development of Daily Life Monitori ng System using RFID (RFID를 이용한 일상생활 모니터링 시스템 개발)

  • Jung, Kyung-Kwon;Park, Hyun-Sik;Choi, Woo-Seung
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.7
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    • pp.49-56
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    • 2009
  • In this paper, we present a daily activity monitoring system by using a wireless sensor network. The proposed system is installed in glove for activity monitoring. The RFID reader, to send data by using sensor network platform and RFID tag are small size, the shape of quadrangle, and operate in the frequency of 13.56 MHz. The sensor node can read RFID tags on the various objects used in daily living such as furniture, medicines, and kitchenwares. The sensor node reads the data of RFID tags, it transmits wireless packets to the sink node. The sink node sends the received packet immediately to a server system. The data from each RFID system is collected into a database, and then the data are processed to visualize the measurement of daily living activities of users. We provide a web-based monitoring system, and can see the number of RFID tag readings per day as bar charts. The result of experiments demonstrates that the way we propose can help to check the situation of life for people who live alone.

Effects of Balance Taping Therapy on Improving Knee Pain and the Obstacle in Daily Activity in Rural Elderly Women (밸런스 테이핑요법이 농촌 여성노인의 무릎통증과 일상활동장애 개선에 미치는 영향)

  • Kim, Ae-Jung;Park, Hae-Sook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.7
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    • pp.218-227
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    • 2019
  • This study examined the effects of balance taping therapy on improving knee pain and the obstacles to daily activity in rural elderly women. The research design was a quasi-experimental research using a non-equivalent control group pre-test and post-test design. The data were collected from January 19th to April 14th, 2017. The research subjects included female elderly over 65 years old who visited 12 senior centers located at Y city in rural areas. The participants were composed of 26 people in the experimental group and 28 people in the control group. Data were collected before and 24 hours after balance taping therapy, and the pain and obstacles to daily activity were measured. The collected data were analyzed using the PASW Statistics 23 Program, which included a $X^2-test$, Shapiro-Wilk test, and Mann-Whitney U test. After the intervention, significant differences were observed in the knee pain (Z=-6.658, p<.001) and obstacles to daily activity (Z=-3.466, p=.001). With regard to lower domain variables of the obstacles to daily activity, significant differences in standing up (Z=-2.860, p=.004), daily activity (Z=-2.629, p=.009), walking (Z=-3.868, p<.001), and dressing up (Z=-2.049, p=.040) were observed between the two groups. On the other hand, there were no significant differences in grip (Z=-.542, p=.588) and arm stretching (Z=-.416, p=.678). In conclusion, applying balance taping to rural elderly women clearly decreases the level of knee pain, reduces the obstacles to daily activity, and improves their quality of life.

The Analysis of Living Daily Activities by Interpreting Bi-Directional Accelerometer Signals with Extreme Learning Machine (2축 가속도 신호와 Extreme Learning Machine을 사용한 행동패턴 분석 알고리즘)

  • Shin, Hang-Sik;Lee, Young-Bum;Lee, Myoung-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.7
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    • pp.1324-1330
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    • 2007
  • In this paper, we propose pattern recognition algorithm for activities of daily living by adopting extreme learning machine based on single layer feedforward networks(SLFNs) to the signal from bidirectional accelerometer. For activity classification, 20 persons are participated and we acquire 6, types of signals at standing, walking, running, sitting, lying, and falling. Then, we design input vector using reduced model for ELM input. In ELM classification results, we can find accuracy change by increasing the number of hidden neurons. As a result, we find the accuracy is increased by increasing the number of hidden neuron. ELM is able to classify more than 80 % accuracy for experimental data set when the number of hidden is more than 20.

A Study on Daily Life Habits Related with the Physical Health of Young Children (유아기 신체 건강과 관련한 일상생활습관 실태 연구)

  • Lee, Jung-Sook;Kim, Sung-Jae
    • Korean Journal of Child Studies
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    • v.30 no.3
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    • pp.177-196
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    • 2009
  • The purpose of this study was to provide basic understanding of healthy habits of young children by analyzing existing life patterns that affect the their physical health. 416 parents of young children from kindergartens and daycare centers have responded to a questionnaire. The collected data were analyzed by using mean, standard deviation frequency, was used by SPSS 16.0 program. The conclusion was that the young children present daily life habits, including sleeping, eating, defecating and playing habits were not positive and that the children mostly led an indoor lifestyle. From these results, observations were made that the physical activity for young children is imperative to develop the physical and mental health of the 21st century young children.

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Physical activity level, total daily energy expenditure, and estimated energy expenditure in normal weight and overweight or obese children and adolescents (소아청소년의 비만여부에 따른 신체활동수준, 1일 총에너지소비량 및 에너지필요추정량의 평가)

  • Kim, Myung Hee;Kim, Eun Kyung
    • Journal of Nutrition and Health
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    • v.45 no.6
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    • pp.511-521
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    • 2012
  • The purposes of this study were to assess the physical activity level (PAL) and the total daily energy expenditure (TEE) as well as to evaluate the validity of prediction equation for the estimated energy requirement (EER) in normal weight and overweight or obese children and adolescents. The subjects comprised of 100 healthy Korean students aged between 7-18. The anthropometric data was collected. PAL was calculated from the physical activity diary by the 24-hour recall method, and the resting metabolic rate (RMR) was measured by an open-circuit indirect calorimetry using a ventilated hood system. Daily energy expenditure was PAL multiplied by RMR. EER was calculated by using the prediction equation published in KDRIs. There was no significant difference in the means of age and height between the 46 obese subjects and 54 nonobese subjects. The weight and BMI of the obese group (60.2 kg, $25.3kg/m^2$) were significantly higher than those of the nonobese group (42.4 kg, $18.4kg/m^2$). However, PAL was not significantly different between the two groups (nonobese 1.45, obese 1.46). TEE of the obese group (2,212 kcal/day) was significantly higher than that of the nonobese group (1,774 kcal/day). EER (individual PA) and EER (light PA) were significantly higher than TEE (p < 0,001); however, EER (sedentary PA) was not significantly different with TEE in the two groups. These results showed that the levels of physical activity were the same as the sedentary activity both in the nonobese and obese Korean students; moreover, the predictive equation for EER published in KDRI overestimated the TEE of Korean children and adolescents. Therefore, in further research, a new predictive equation for EER should be developed for Korean children and adolescents through the doubly labeled water method.

Effect of Soy Isoflavone Supplementation on the Bone Mineral Density and Antioxidant Enzyme Activity in Postmenopausal Women (일부 폐경 후 여성에서 골밀도와 항산화효소 활성에 대한 대두 이소플라본 보충 효과)

  • Lee, Haeng-Shin;Lee, Da-Hong;Kim, Mi-Hyun;Sung, Chung-Ja
    • Journal of Nutrition and Health
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    • v.39 no.8
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    • pp.801-807
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    • 2006
  • To elucidate the effect of soy isoflavone supplementation on bone mineral density and antioxidant enzyme activity in 60 postmenopausal women residing in Iksan area were recruited. There were 31 participants in the treatment group and 29 in the control group. The treatment group consumed isoflavone extract capsules daily (which contained 90 mg of soy isoflavones) for 12 weeks. The study compared before and after isoflavone intake in the following areas. Physical examination, diet survey, bone mineral density (BMD) and antioxidant enzyme activity (superoxide dismutase (SOD), glutathione peroxidase (GPx), catalase (CAT) and total antioxidant capacity (TA)). The average age of the treatment group was 64.6 years and that of the control group was 66.5 years. There were no significant differences between the two groups in terms of height, weight and body mass index. Both groups maintained a regular diet pattern in terms of their average daily nutrient intake. There were no significant differences between the treatment group (23.3 mg) and the control group (24.0 mg) in terms of daily isoflavone intake based on diet. Isoflavone supplementation of 12 weeks did not resulted in any significant changes in BMD or parameters of antioxidant enzyme activity, implying the necessity of more intensive intervention for a substantial change. In conclusion, this study revealed that antioxidant enzyme activity holds a significant relationship with the bone mineral density in postmenopausal women and further systematic research on dose and period of isoflavone supplementation is needed to clearify the positive effect of isoflavone on BMD and/or blood antioxidant capacity in postmenopausal women.

A Distributed Activity Recognition Algorithm based on the Hidden Markov Model for u-Lifecare Applications (u-라이프케어를 위한 HMM 기반의 분산 행위 인지 알고리즘)

  • Kim, Hong-Sop;Yim, Geo-Su
    • 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.

The Perceived Discomfort in the Daily Activities of Korean Elderly (한국 고령층의 일상생활 활동 불편도 분석)

  • Lee, Dong-Hun;Na, Seok-Hee;Ahn, Eun-Seon;Chung, Min-K.
    • Journal of the Ergonomics Society of Korea
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    • v.26 no.2
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    • pp.67-79
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    • 2007
  • The objective of this study is to investigate a perceived discomfort and cause of Korean elderly in various activities such as work and leisure as well as in daily activities. 120 subjects (30 female and 30 male for each age: the young and elderly) participated in the interview type of questionnaire. Each participant answered to 41 items of activities of daily living. The examination of each item was progressed with 3 steps: whether to do the activity or not, degree of activity discomfort, and the reasons or causes of discomfort. Borg's CR10 scale is used to measure the degree of discomfort of daily activities. As a result, there are differences for the proportion of performers between two age groups, except for essential activities such as individual maintenance and housekeeping. The elderly complained about their daily activities more than the young did, and the degree of discomfort of women was significantly larger than that of men with aging. There are seven items, the mean degree of discomfort of which is over three points for the elderly, and they showed significant difference between two age groups. It was the important reason that physical capacities such as muscle strength and suppleness are declined. The results showed the characteristics of Korean elderly in the whole daily activities. These will be used to understand various life styles of them and to propose a field or direction of study related to the aging.

Once daily dosing of aminoglycoside in children (소아에서 aminoglycoside의 1일 1회 요법)

  • Shin, Seon Hee
    • Clinical and Experimental Pediatrics
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    • v.51 no.10
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    • pp.1038-1041
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    • 2008
  • Aminoglycosides are frequently used antibiotics in children. The multiple daily dosing (MDD) in infants and children is twice or three times daily depending on age. Recent studies in adults have shown that once daily dosing (ODD) maximizes the bactericidal activity and might minimize the toxicity of antibiotics. So, I reviewed many studies about efficacy, toxicity and cost effectiveness of ODD of aminoglycosides in children. Most studies suggest that ODD compared with MDD of aminoglycosides is theoretically more efficacious and has no higher toxicity in infants and children. But, the total number of patients included in the studies is not large. Multi-center, controlled prospective studies are required in larger numbers of infants and children to determine the efficacy and safety of the ODD regimen in children before ODD of aminoglycosides can be recommended for routine use.