摘要
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.
| 原文 | English |
|---|---|
| 主出版物標題 | Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018 |
| 編輯 | Artde Donald Kin-Tak Lam, Stephen D. Prior, Teen-Hang Meen |
| 發行者 | Institute of Electrical and Electronics Engineers Inc. |
| 頁面 | 846-849 |
| 頁數 | 4 |
| ISBN(電子) | 9781538643426 |
| DOIs | |
| 出版狀態 | Published - 22 6月 2018 |
| 事件 | 4th IEEE International Conference on Applied System Innovation, ICASI 2018 - Chiba, 日本 持續時間: 13 4月 2018 → 17 4月 2018 |
出版系列
| 名字 | Proceedings of 4th IEEE International Conference on Applied System Innovation 2018, ICASI 2018 |
|---|
Conference
| Conference | 4th IEEE International Conference on Applied System Innovation, ICASI 2018 |
|---|---|
| 國家/地區 | 日本 |
| 城市 | Chiba |
| 期間 | 13/04/18 → 17/04/18 |
UN SDG
此研究成果有助於以下永續發展目標
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SDG 3 良好的健康和福祉
指紋
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