Open AccessIoT based body weight tracking system for obese adults in Indonesia using realtime database
Author(s) -
Johannes Mae,
Endra Oey,
Ferdian Stanley Kristiady
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/426/1/012143
Subject(s) - scale (ratio) , tracking (education) , obesity , body weight , database , computer science , weight loss , tracking system , medicine , artificial intelligence , geography , psychology , pedagogy , cartography , kalman filter
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.