Physical activity (PA) is considered one of the most important factors for the prevention and management of non-communicable diseases (NCDs). Mobile technologies offer several opportunities for supporting PA, especially if combined with psychological aspects, model-based reasoning systems and personalized human computer interaction. This still on-going research aims at developing a scalable framework that targets PA promotion among both clinical and non-clinical population, exploiting Bayesian Networks and Expert Systems to characterize and predict qualitative variables like self-efficacy. The expected outcomes are the collection and management of real-time behavioral and psychological data to define a personalized strategy for increasing PA.

(2016). Wearable devices and AI techniques integration to promote physical activity . Retrieved from http://hdl.handle.net/10446/137634

Wearable devices and AI techniques integration to promote physical activity

Greco, Andrea
2016-01-01

Abstract

Physical activity (PA) is considered one of the most important factors for the prevention and management of non-communicable diseases (NCDs). Mobile technologies offer several opportunities for supporting PA, especially if combined with psychological aspects, model-based reasoning systems and personalized human computer interaction. This still on-going research aims at developing a scalable framework that targets PA promotion among both clinical and non-clinical population, exploiting Bayesian Networks and Expert Systems to characterize and predict qualitative variables like self-efficacy. The expected outcomes are the collection and management of real-time behavioral and psychological data to define a personalized strategy for increasing PA.
2016
Baretta, Dario; Melen, Riccardo; Stella, Fabio; Sartori, Fabio; Bollini, Letizia; D'Addario, Marco; Steca, Patrizia; Greco, Andrea
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/137634
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