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.
- I-Min Lee, Eric J. Shiroma, Felipe Lobelo, Pekka Puska, Steven N. Blair, and Peter T. Katzmarzyk, Lancet Physical Activity Series Working Group. 2012. Effect of physical inactivity on major non communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet Lond. Engl. 380, 219--229.Google ScholarCross Ref
- Sherry Pagoto and Gary G. Bennett. 2013. How behavioral science can advance digital health. Transl. Behav Med; 3(3):271--6.Google Scholar
- Susan Michie, Michelle Richardson, Marie Johnston, Charles Abraham, Jill Francis, Wendy Hardeman, Martin P. Eccles, James Cane, and Caroline E. Wood. 2013. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Ann Behav Med. Aug; 46(1):81--95.Google Scholar
- Susan Michie, Charles Abraham, Craig Whittington, John McAteer, and Sunjai Gupta. 2009. Effective techniques in healthy eating and physical activity interventions: A meta-regression. Health Psychol. Nov; 28(6):690-701.Google Scholar
- Ellinor K. Olander, Helen Fletcher, Stefanie Williams, Lou Atkinson, Andrew Turner, and David P. French. 2013. What are the most effective techniques in changing obese individuals' physical activity self-efficacy and behaviour: A systematic reviewand meta-analysis. Int J. Behav Nutr Phys Act.;10:29.Google Scholar
- Albert Bandura. 1997. Self-efficacy: The exercise of control. New York: FreemanGoogle Scholar
- Stefanie Williams and David P. French. 2011. What are the most effective intervention techniques for changing physical activity self-efficacy and physical activity behaviour-and are they the same? Health Educ Res. Apr; 26(2): 308--322.Google Scholar
- Julia E. W. C. Van Gemert-Pijnen, Oscar Peters, and Hans C. Ossebaard. 2013. Improving eHealth. The Hague: Boom.Google Scholar
- Michel C. A. Klein, Adnan Manzoor, Anouk Middelweerd, Julia S. Mollee, and Saskia J. teVelde. 2015. Encouraging Physical Activity via a Personalized Mobile System. In IEEE Internet Computing, 19(4), 20--27.Google ScholarCross Ref
- Riccardo Melen, Fabio Sartori, and Luca Grazioli.2015. Modeling and understanding time-evolving scenarios. JSCI 13, 5: 62--67.Google Scholar
- Thimothy Armstrong and Ruth Bonita. 2003. Capacity building for an integrated non communicable disease risk factor surveillance system in developing countries. Ethn Dis. 13:2--13.Google Scholar
Index Terms
- Wearable devices and AI techniques integration to promote physical activity
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