@inproceedings{1d24eb39198c49088193ba90d5cbb61f,
title = "Web-based weight loss reminder system for well-being management",
abstract = "Obesity and overweight have become a worldwide health problem. The treatment for obesity includes lifestyle changes of increasing physical activity and reducing calorie intake. Low adherence and weight regain are the issues should be tackled for effective weight loss. In this study, the web-based weight loss reminder system is developed based on fuzzy logic approach, and offers users a tool to record theirs self-weighing, energy intake, and exercise. The multiple fuzzy-based inference engines are proposed to evaluate the levels of the calculated features and output the linguistic levels. Furthermore, rule-based approach is utilized to derive reminding message. The reminding mechanism shows the effectiveness of weight loss that participants could control theirs weights with the weight loss referenced curve and the reminding messages.",
keywords = "web-based reminder system, weight loss, weight maintenance",
author = "Chang, {Li Han} and Hsieh, {Chia Yeh} and Liu, {Kai Chun} and Yen, {Chien Yi} and Hsu, {Steen J.} and Chan, {Chia Tai}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 4th IEEE International Conference on Applied System Innovation, ICASI 2018 ; Conference date: 13-04-2018 Through 17-04-2018",
year = "2018",
month = jun,
day = "22",
doi = "10.1109/ICASI.2018.8394396",
language = "English",
series = "Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "846--849",
editor = "Lam, {Artde Donald Kin-Tak} and Prior, {Stephen D.} and Teen-Hang Meen",
booktitle = "Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018",
address = "United States",
}
