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dc.contributor.authorGómez-del-Río, N.-
dc.contributor.authorGonzález-González, C. S.-
dc.contributor.authorToledo-Delgado, P. A.-
dc.contributor.authorMuñoz-Cruz, V.-
dc.contributor.authorGarcía-Peñalvo, F. J.-
dc.identifier.citationGómez-del-Río, N., González-González, C. S., Toledo-Delgado, P. A., Muñoz-Cruz, V., & García-Peñalvo, F. J. (2020). Health Promotion for Childhood Obesity: An Approach Based on Self-Tracking of Data. Sensors, 20(13), 3778. doi:10.3390/s20133778en
dc.description.abstractAt present, obesity and overweight are a global health epidemic. Traditional interventions for promoting healthy habits do not appear to be effective. However, emerging technological solutions based on wearables and mobile devices can be useful in promoting healthy habits. These applications generate a considerable amount of tracked activity data. Consequently, our approach is based on the quantified-self model for recommending healthy activities. Gamification can also be used as a mechanism to enhance personalization, increasing user motivation. This paper describes the quantified-self model and its data sources, the activity recommender system, and the PROVITAO App user experience model. Furthermore, it presents the results of a gamified program applied for three years in children with obesity and the process of evaluating the quantified-self model with experts. Positive outcomes were obtained in children’s medical parameters and health habits.en
dc.subjectchild obesityen
dc.subjectphysical activityen
dc.subjectuser modelen
dc.subjectrecommender systemen
dc.titleHealth Promotion for Childhood Obesity: An Approach Based on Self-Tracking of Dataen
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