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  • 标题:IoT based body weight tracking system for obese adults in Indonesia using realtime database
  • 本地全文:下载
  • 作者:Johannes Mae ; Endra Oey ; Ferdian Stanley Kristiady
  • 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.
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