• Research in Community and Public Health Nursing
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• v.30 no.3
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• pp.257-270
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• 2019

Purpose: This study is designed as a non-equivalent, control group pre/post-test for identifying effectiveness of a workplace walking program using a fitness tracker including individual counseling and tailored text messaging. Methods: Seventy-nine employees from two large companies were allocated into an intervention group (n=39) and a control group (n=40). Participants were asked to wear a fitness tracker (Fitbit Charger HR) during 24-hour, 5-days per week, for 10 weeks. The intervention group was provided with daily walking steps measured by Fitbit, weekly counseling with a specifically designed workbook, and seven weekly text messaging, and the control group with the fitness tracker only. Results: At the week 10 measurement, there were significant differences between the intervention and control groups in physical activity self-efficacy (p<.001), physical activity behavior (p<.001), daily walking steps (p<.001), systolic blood pressure (p=.033), and wellness (p<.001). Conclusion: These results suggest that the workplace walking program using a fitness tracker including individual counseling and tailored text messaging is more effective for persons with 10,000 steps/day. Therefore, it is recommended to actively apply this workplace walking program to inactive employees for encouraging regular physical activities and improving their wellness.

• International Journal of Advanced Culture Technology
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• v.8 no.1
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• pp.218-225
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• 2020

Purpose Wearable devices are widely used in our daily life. The purpose of this study is to investigate the relationship between persuasive designs of fitness trackers and users' physical activity behavior. Methods To test the research model, data was collected from a web-based survey in China, resulting in an effective sample of 166 usable questionnaires. The survey was restricted only to respondents who wear a fitness tracker. Results The sample surveyed in this study indicated that half of the respondents had been wearing a smart fitness tracker shorter than one year, and only 27% were long-time users (longer than two years). Dialogue support and social support strategies were both proved to be effective in increasing users' workout behavior intention. Social support strategies had a greater effect on behavior change than dialogue support strategies. Conclusion The findings from this study make several contributions to the practice. Wearable devices developers can employ the result from this study to help them design devices, which can persuade people to do more exercises and preserve a healthier life.

• Korean Journal of Childcare and Education
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• v.18 no.6
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• pp.75-99
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• 2022

Objective: This study aims to explore ways to empirically analyze and manage childcare teachers' job stress based on their relationship with stress-related physiological indicators measured by a fitness tracker. Methods: The study participants were 27 childcare teachers in Gyeonggi-do and wore Garmin's wearable fitness tracker Vivosmart 4 for 15 days for three months. The collected information was analyzed for mean, SD, ANOVA, and correlation using JAMOVI 2.00. Results: First, among the daily changes of physiological indicators measured by a fitness tracker, the data collected on Mondays were significant. On Mondays, the stress index was high, the duration of the rest period was short, and the sleep time was short. The stress of childcare teachers showed a significant negative relationship with the body battery which was calculated by considering the duration of the rest period, heart rate variability, stress, and activity level. Also, the duration of deep sleep was positively correlated with a low degree of stress. There was a significant relationship between the childcare teachers' psychological indicators and the biomarkers measured by fitness trackers. Conclusion/Implications: Stress research using a fitness tracker is big data, and in-depth analysis is possible. Fitness trackers can collect and utilize repeated measurement data for each individual childcare teacher.

• The Journal of Information Systems
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• v.29 no.1
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• pp.201-224
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• 2020

Purpose The study focuses on the physical activity behavior change effect of smart wristband, which is the most popular type of fitness tracker nowadays. The purpose of the research is to investigate how people's workout behavior may change after wearing a smart band and examine what kind of role persuasive design plays in behavior change. Design/Methodology/Approach This research employed an experimental study to examine whether the user's workout behaviors changed after using wristband from the "Behavior Wizard" perspective. A representative smart wristband from a major vendor was selected as the objects of experimental study. In the experiment, by comparing users' workout behavior before and after using the wristband, behavior changes of all the experiment participants were classified into one of the 15 behavior change types. Users perceived persuasive design characteristics were measured and group differences were tested among different behavior change groups. Findings This research found that nearly half of the participants changed their workout behavior while half retained their workout status or no exercise status. Half of the participants who did not do exercise in their spare time started walking in the experiment. Results also showed that participants who started working out perceived higher levels of persuasive design devised into the smart band than participants who preserved no exercise status, except for facilitation and reward strategies. Participants who retained workout and those who increased workout frequency perceived no difference in smart band persuasive design.

• IEMEK Journal of Embedded Systems and Applications
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• v.10 no.3
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• pp.129-137
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• 2015

Various personalized services are provided based on user context these days, and IoT(Internet of Things) devices provides effective ways to collect user context. For example, user's activity such as walking steps, calories, and sleeping hours can be collected using smart activity tracker. Smart scale can sense change of user's weight or body fat percentage. However, these services are independent to each other and not easy to make them collaborate. Many standard bodies are working on the documents for this issue, but due to diversity of IoT use case scenarios, it seems that multiple IoT technologies co-exist for the time being. This paper propose a framework to collaborate heterogeneous IoT services. The proposed framework provides methods to build application for heterogeneous IoT devices and user context management in more intuitive way using HTTP. To improve compatibility and usability, gathered user contexts are based on MPEG-UD. Implementation of framework and service with real-world devices are also presented.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.184-187
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• 2016

본 연구는 손목 착용형 활동 측정기로부터 수집된 활동 강도 값을 기반으로 사용자의 수면 상태를 파악하는 방법을 제시한다. 수집된 활동 강도 값은 하루 전체에서 1분 단위로 손목의 움직임의 크기에 따라 측정되는 값으로 수면과 활동 시 그 값의 차이를 나타낸다. 본 연구는 활동 강도에 따라 수면 상태를 검출하고 검출된 수면 상태의 지속시간에 기반을 두어 수면 상태를 보정한다. 3명의 사용자로부터 하루씩 수집된 활동 강도 값에서 검출된 수면 시간은 실제 수면 시간에 대비하여 약 99.35%의 정확도를 갖는다.

• International Journal of Internet, Broadcasting and Communication
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• v.10 no.2
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• pp.51-59
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• 2018

Health care has attracted a lot of attention, recently due to an increase in life expectancy and interest in health. Various biometric data of the user are collected by using the air pressure sensor, gyro sensor, acceleration sensor, and heart rate sensor to perform the Smart Health Care Activity Tracker function. Basically, smartphone application is made and tested for biometric data collection, but the Arduino platform and bio-signal measurement sensor are used to confirm the accuracy of the measured value of the smartphone. Use the Google Maps API to set user goals and provide guidance on the location of the user and the points the user wants. Also, the basic configuration of the main UI is composed of the screen of the camera, and it is possible for the user to confirm the forward while using the application, so that accident prevention is possible.

• Korean Journal of Occupational Health Nursing
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• v.29 no.2
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• pp.133-139
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• 2020

Purpose: This study aimed to identify the influence of consecutive night-shift work and working time on insomnia among hospital nurses. Methods: A descriptive correlational research designutilizing secondary data analysis was adopted. Data on consecutive night-shift work, working time, and insomnia were collected from 64 hospital nurses using a Fitbit activity tracker and questionnaires, and analyzed using hierarchical logistic regression. Results: Consecutive night-shift work for more than three days had a significant influence on insomnia among hospital nurses. Weekly working hours also accounted significantly for the variance in insomnia, exceeding the influence of consecutive night-shift work. Conclusion: Development and implementation of proper schedules to control consecutive night-shift work and working time is important to alleviate insomnia among hospital nurses.

• Information and Communications Magazine
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• v.31 no.12
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• pp.64-71
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• 2014

요즘 많은 인기를 끌고 있는 핏빗(Fitbit)과 같은 액티비티 트래커(Activity tracker)와 곧 출시될 애플 워치(Apple watch)와 같은 스마트 시계 등에서 얻을 수 있는 운동 또는 활동량 데이터와 맥박과 같은 건강 데이터를 플랫폼을 통하여 획득하고 이를 기반으로 건강을 관리하고자 하는 노력이 다양한 곳에서 시도되고 있다. 이와 같이 미국, 유럽의 정부와 애플, 구글, 마이크로소프트, 삼성과 같은 많은 글로벌 기업 등이 앞다투어 개인 건강 관리를 위한 기술을 개발하고 있고, 많은 기업들이 건강 관련 기기와 서비스를 상용화하여 내놓고 있다. 이러한 획득 가능한 데이터로부터 전통의학인 한의학 기반의 건강 관리를 위하여 한의학적으로 의미있는 개인 건강 데이터를 수집하려는 기술에 대하여 알아본다.

• The Korea Journal of Herbology
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• v.39 no.3
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• pp.57-67
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• 2024

Objectives : The aim of this study is to evaluate the potential biological activity of Veronica incana extracts (VIE) through in vitro, ex vivo, and in vivo experiments. Methods : In vitro, we conducted analyses on the total polyphenol (TP) and total flavonoid (TF) levels, alongside DPPHand ABTS radical scavenging activities. Ex vivo evaluations on adipose tissue measured glycerol release as a marker of lipolysis. In LPS-induced RAW 264.7 cells, we quantified nitric oxide (NO) production. Following H₂O₂ induction in U2OS cells, we performed mitochondrial assays such as MitoSox and MitoTracker. Moreover, Bodipy assays were conducted in 3T3-L1 cells. In vivo, we performed anti-osteoarthritis effect of VIE against monosodium iodoacetate (MIA)-induced osteoarthritis in rats. Results : The results presented encompass a myriad of models, from cell culture to animal experiments as well as ex vivo studies. VIE demonstrated high TP and TF contents, potent DPPH and ABTS scavenging activities, and regulated glycerol release. Moreover, the inhibition of NO production in LPS-induced inflammation was notably confirmed and the reduction of lipid droplets was distinctly shown. Furthermore, in H₂O₂-induced U2OS cells, MitoSox was effectively reduced while MitoTracker noticeably increased. In vivo assays confirmed a significant increase in hindpaw weight distribution (HWD) decreased by MIA after VIE treatment. Additionally, VIE inhibited serum inflammatory cytokines (TNF-𝛼, IL-6, and IL-1𝛽) and MDA levels in joint tissue. Conclusion : In conclusion, Veronica incana exhibited various pharmacological effects including antioxidant, anti-obesity, and anti-inflammatory properties.