• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.784-787
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• 2009

2008년 우리나라 휴대폰 가입자는 4500만 명을 넘어서 1인 1휴대전화 시대에 돌입했다. 그래서 휴대폰을 이용하여 건강을 체크한다면 현대인들의 식습관, 만성질병, 생활습관이 개선될 전망이다. 본 논문에서 제안하는 건강관리 서버는 사람들의 건강을 손쉽게 체크하여 미리 병을 예방하고 건강관리를 할 수 있도록 설계 되었으며, 휴대폰에 적용된 가속도 센서를 이용하여 걸음 수, 이동속도, 이동 거리 등의 사용자 운동량 정보를 파악 할 수 있다. 휴대폰에서 수집된 운동량 정보를 바탕으로 건강정보를 관리하므로, 사용자가 별도의 건강기기를 소지하지 않아도 손쉽게 웰빙을 추구할 수 있다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.239-240
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• 2022

본 논문은 안드로이드 플랫폼의 내장 센서 중 만보기 기능을 구현할 수 있는 걸음 횟수 센서(Step Counter Sensor)와 걸음 감지 센서(Step Detector Sensor), GPS 센서, Google Map API, 공공 데이터 포털 Open API를 활용하여 국내 여행지 및 국내 지역 축제 정보를 제공하는 애플리케이션을 설계하고 구현한다. 이 애플리케이션은 특정 걸음 수를 달성했을 때 국내 여행지를 무작위로 추천하여 추천 지역까지의 걸음 수를 카운트하는 방식으로 사용자에게 목표를 부여하고, 추천 국내 여행지 방문 및 축제 참여 기회와 성취감을 얻도록 한다.

• Design Convergence Study
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• v.16 no.6
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• pp.123-135
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• 2017

In recent mobile health care service, health management using number of steps is becoming popular. In addition, a variety of activity trackers have made it possible to measure the number of steps more accurately and easily. Nevertheless, the activity tracker is not popularized, and it is a trend to use the pedometer sensor of the smartphone as an alternative. In this study, we tried to find out how much the number of steps collected by the smartphone versus the actual number of steps in actual situations, and what factors make the difference. We conducted an experiment to collect number of steps data of 21 people using the smartphone and wearable device simultaneously for 7 days. As a result, we found that the average number of steps of the smartphone is 62% compared to the actual number of steps, and that there is a large variation among users. We derived a regression model in which the accuracy of smartphone increases with the degree of awareness of smartphone. We expect that this can be used as a factor to correct the difference from the actual number of steps in the smartphone alone healthcare service.

• Journal of the Korea Society of Computer and Information
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• v.21 no.10
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• pp.91-98
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• 2016

Outbreaks of highly contagious livestock diseases can cause direct and indirect economic impacts such as lower productivity of cattle farms, fall in tourism in damaged areas and countries, and decline in exports. They also incur tremendous social costs associated with disease elimination and restoration work. Thus, it is essential to prevent livestock diseases through monitoring and prediction efforts. Currently, however, it is still difficult to provide accurate predictive information regarding occurrences of livestock diseases, because existing cattle health monitoring or forecasting systems are only limited to monitor environmental conditions of livestock barns and check activities of cattle by using a pedometer or thermal image. In this paper, we present a biosensor-based cattle health monitoring system capable of collecting bio-signals of farm animals in an effective way. For the presented monitoring system, we design an integrated monitoring device consisting of a sensing module to measure bio-signals of cattle such as the heartbeat, the breath rate and the momentum, as well as a Zigbee module designed to transmit the biometric data based on Wireless Sensor Network (WSN). We verify the validity of the monitoring system by the comparison of the correlations of designed device with a commercial ECG equipment through analyzing the R-peak of measured signals.

• Korean Journal of Adult Nursing
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• v.20 no.4
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• pp.561-572
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• 2008

Purpose: To examine the effects of power walking exercise on fatigue and overweight in college students with Taeumin constitution. Methods: According to results of the constitution diagnosis (QSCC II), 58 students who were identified as Taeumin, whose BMI was over 23 were assigned to one of three groups. The power walking group walked fast at a speed of 7,000 steps per hour using a pedometer, and the walking group walked at a speed of 5,000 steps per hour. There was no treatment with control group. Each group's fatigue level, blood lipids and body composition before and after the experiment were compared and analyzed. Results: Total fatigue and total cholesterol decreased significantly in the power walking group compared to the walking group and the control group. Weight decreased significantly in the power walking group compared to the control group, and percentage of body fat decreased significantly in both the power walking group and the walking group compared to the control group. Conclusion: When power walking exercise was used with overweight Taeumin students, fatigue, blood lipid, weight and percentage of body fat decreased significantly.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.80-80
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• 2000

The GPS can provide accurate position information on the earth. But GPS receiver can't give position information inside buildings. DR(Dead-Reckoning) or INS(Inertial Navigation System) gives position information continuously indoors as well as outdoors, because they do not depend on the external navigation information. But in general, the inertial sensors severely suffer from their drift errors, the error of these navigation system increases with time. GPS and DR sensors can be integrated together with Kalman filter to overcome these problems. In this paper, we developed a personal navigation system which can be carried by person, using GPS and electronic pedometer. The person's footstep is detected by an accelerometer installed in vertical direction and the direction of movement is sensed by gyroscope and magnetic compass. In this case the step size is varying with person and changing with circumstance, so determining step size is the problem. In order to calculate the step size of detected footstep, the neural network method is used. The teaming pattern of the neural network is determined by human walking pattern data provided by 3-axis accelerometer and gyroscope. We can calculate person's location with displacement and heading from this information. And this neural network method that calculates step size gives more improved position information better than fixed step size.

• Research in Community and Public Health Nursing
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• v.24 no.3
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• pp.273-281
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• 2013

Purpose: The purpose of this study was to determine gender differences in effects of self-efficacy, exercise benefits and barriers, and demographic factors on the physical activity. Methods: Seventy sedentary office workers, 35 male and 35 female, from a major airline company, completed a questionnaire from March 28 to April 5, 2012. Steps and body mass indices were measured using a CW-700/701 (Yamax) pedometer and Inbody 720 (Biospace), respectively. Data were analyzed using t-test, $x^2$-test, multiple linear regression, and simultaneous quantile regression. Results: For male workers, exercise self-efficacy had a significant effect on physical activity, but only when respondents were at 10%(3,431 steps/day, p=.018) and 25%(4,652 steps/day, p=.044) of the physical activity distribution. For female workers, marital status was significantly related to physical activity, but only when respondents were at 10% (3,537 steps/day, p=.013) and 25%(3,862 steps/day, p=.014) of the physical activity distribution. Conclusion: Quantile regression highlights the heterogeneous effect of physical activity determinants among office workers. Therefore intervention strategies for increasing physical activity should be tailed to genders as well as physical activity levels.

• The Journal of Information Systems
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• v.29 no.4
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• pp.1-24
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• 2020

Purpose An increase in the number of fitness apps across the world is a testament to the growing interest in health. As focus on medical services shifted from treatment to prevention, this type of app plays an essential role in promoting one's health and exercise management. Yet little has been known about practical effects of fitness apps in existing literature thus this study searches for factors that affect daily use of fitness apps and examine the relationship between app usage and exercise patterns. Design/methodology/approach This study surveyed people who used Cashwalk, the pedometer app for a minimum of a week to analyze reasons why they used the app. Particpants' exercise patterns were also recorded. By examining survey results of fitness app users and developing a research model based on the Customer Value Theory, this study provides real-life factors to the fitness and smart health care industry that will adopt a proactive lifestyle pattern. Findings Empirical analysis proved properties such as the complexity of fitness apps, monetary rewards, exercise monitoring and the enjoyment of using fitness apps contribute to using fitness apps on a daily basis. Furthermore, more daily use of fitness apps was shown to have a greater impact on exercise. This study also confirmed that social comparison does not affect the daily use of fitness apps and the amount of exercise, and the habitual walking was proved to directly affect the amount of exercise.

• Journal of muscle and joint health
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• v.29 no.2
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• pp.91-99
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• 2022

Purpose: The purpose of this study was to examine the level of agreement between smartphone apps and self-reported physical activity questionnaires. Methods: Quantitative methods were used to assess the correlation and agreement between the number of steps counted by a smartphone app and the amount of walking reported in a survey. A total of 29 adults who used smartphones were recruited from a university, and their step counts from their smartphone pedometers and responses to the international physical activity questionnaire (IPAQ) were collected over a 10-week period. Results: An analysis of 170 data pairs with Spearman's rho correlation and a Bland-Altman plot revealed a positive correlation between step counts from the smartphone app and walking activity from the IPAQ. The Bland-Altman plot also demonstrated the agreement to be improved among female participants. Conclusion: In assessing walking activity, smartphone pedometer apps showed good correlation with the IPAQ and improved agreement with the IPAQ among women. Therefore, it is suggested that the participants' gender and activity intensity, as well as the accuracy of measurement tools, should be considered in an evaluation of the delivery of physical activity promotion programs through smartphone apps.

• Korean Journal of Health Education and Promotion
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• v.27 no.5
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• pp.1-14
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• 2010

Objectives: This study is an explorative study for developing an instrument to measure habitual physical activity level of school-aged children. Methods: HPAQ-S consists of 41 items and a self-reported 5-day recall instrument designed to assess habitual physical activity level for school-aged children. For the validity and reliability test, a sample consisted of 28 children, aged 10-11 years old. Results: 41 question items showed an acceptable internal consistency (cronbach's alpha=.89). A significant positive correlation with the pedometer results (r=.69, p<.001) and with Borg's questionnaire (r=.76, p<.001) support the validity of HPAQ-S. Conclusion: HPAQ-S may be more useful for measuring habitual physical activity level of elementary school-aged children in large populations.