Abstract
Obesity is a global challenge that affects health and wellbeing worldwide. In this position paper, we review the digital technology used in prevention of obesity and present the proposed STOP project that integrates state-of-the-art wearable technology, chatbot, gamification data fusion, and machine learning with the aim to provide personalised supportive feedback for preventing obesity and maintaining healthy weight. Implication of sensitive data with General Data Protection Regulation (GDPR) is discussed. We conclude that machine learning plays an important role in data fusion, analytics, and providing optimal messaging tailored design to support healthy weight.
Original language | English |
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Title of host publication | 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) |
Place of Publication | San Diego, CA, USA |
Pages | 1-6 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-7281-1867-3 |
DOIs | |
Publication status | Published (in print/issue) - 18 Nov 2019 |
Event | 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - San Diego, CA, USA Duration: 18 Nov 2019 → 21 Nov 2019 |
Conference
Conference | 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) |
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Period | 18/11/19 → 21/11/19 |
Keywords
- obesity
- prevention
- machine learning
- chatbot
- supportive personalised feedback
- gamification
- data fusion