文章基本信息

标题：IoT based body weight tracking system for obese adults in Indonesia using realtime database
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作者：Johannes Mae ; Endra Oey ; Ferdian Stanley Kristiady 等
期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2020
卷号：426
期号：1
DOI：10.1088/1755-1315/426/1/012143
语种：English
出版社：IOP Publishing
摘要：Obesity has become a serious issue in many countries with increasing prevalence every year. People with obesity has higher risk for several serious health complications and on a larger scale, this could bring negative implications for economic growth and human wellbeing of a nation. Many studies have been conducted to overcome this issue and some suggested that regular self weighing could promote weight loss and weight maintenance. Based on those findings, a body weight tracking system is made as an approach from technological side. The purpose of this system is to raise health awareness by using easy-to-use technology to monitor user weight from time to time. The system consists of a realtime database, a smartphone application, and a modified digital weight scale. The weight scale is tested to have more than 99% accuracy and can active for estimated 40 hours of usage, while the realtime database storage for this implementation is adequate for more than half a million users.