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.
Is there an Optimal Technology to Provide Personal Supportive Feedback in Prevention of Obesity? / Sandri, S.; Hemmje, M.; Zheng, H.; Engel, F.; Moorhead, A.; Wang, H.; Bond, R.; Mctear, M.; Molinari, A.; Bouquet, P.. - ELETTRONICO. - (2019), pp. 1-6. (Intervento presentato al convegno BIBM 2019 tenutosi a San Diego, CA nel 18th-21st November 2019) [10.1109/BIBM47256.2019.8983405].
Is there an Optimal Technology to Provide Personal Supportive Feedback in Prevention of Obesity?
Molinari A.;Bouquet P.
2019-01-01
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.File | Dimensione | Formato | |
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