PEGASO: a personalised and motivational ICT system to empower adolescents towards healthy lifestyles

Carrino, Stefano and Caon, Maurizio and Angelini, Leonardo and Mugellini, Elena and Abou Khaled, Omar and Orte, Silvia and Vargiu, Eloisa and Coulson, Neil S. and Serrano, José C.E. and Tabozzi, Sarah and Lafortuna, Claudio and Rizzo, Giovanna (2014) PEGASO: a personalised and motivational ICT system to empower adolescents towards healthy lifestyles. Studies in Health Technology and Informatics, 207 . pp. 350-359. ISSN 1879-8365

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Abstract

Unhealthy alimentary behaviours and physical inactivity habits are key risk factors for major non communicable diseases. Several researches demonstrate that juvenile obesity can lead to serious medical conditions, pathologies and have important psycho-social consequences. PEGASO is a multidisciplinary project aimed at promoting healthy lifestyles among teenagers through assistive technology. The core of this project is represented by the ICT system, which allows providing tailored interventions to the users through their smartphones in order to motivate them. The novelty of this approach consists of developing a Virtual Individual Model (VIM) for user characterization, which is based on physical, functional and behavioural parameters opportunely selected by experts. These parameters are digitised and updated thanks to the user monitoring through smartphone; data mining algorithms are applied for the detection of activity and nutrition habits and this information is used to provide personalised feedback. The user interface will be developed using gamified approaches and integrating serious games to effectively promote health literacy and facilitate behaviour change.

Item Type: Article
Additional Information: Innovation in medicine and healthcare 2014, editors, Manuel Grana, Carlos Toro, Robert J. Howlett, Lakmi C. Jain, IOS Press, 2014, ISBN 9781614994732. The final publication is available at IOS Press through http://dx.doi.org/10.3233/978-1-61499-474-9-350.
Keywords: Multi-Domain Virtual Individual Model, Risk Factors, Sensors Parameters, Data Mining, Serious Games and Gamification
Schools/Departments: University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine > Division of Rehabilitation and Ageing
Identification Number: 10.3233/978-1-61499-474-9-350
Depositing User: Dziunka, Patricia
Date Deposited: 04 Apr 2017 07:45
Last Modified: 05 Apr 2017 07:53
URI: http://eprints.nottingham.ac.uk/id/eprint/41585

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