Objective
Energy-related behaviours (physical activity, sedentary behaviour) are main modifiable determinants of several non-communicable health conditions, e.g. diabetes type 2, overweight and obesity, and track into adulthood. Promoting these behaviours among youngsters can have great health and societal gains. Meeting recommended levels for these behaviours is especially low among adolescents, girls and those of lower socio-economic status. An intervention to promote energy-related behaviours among adolescents is thus indicated, and may also address social inclusion. Exergames, which require movement to be played, have great yet underused potential to promote these behaviours. To fully utilise this potential, exergames need to promote moderate-to-vigorous physical activity; need to be tailored to the individual user; and need to be more engaging. The SmartLife project aims to create such an exergame. The SmartLife exergame will be: 1) a mobile game requiring lower body movements; 2) combined with a smart textile that provides immediate physiological feedback (e.g. heartrate, respiration) and ensures exercises are performed at a moderate-to-vigorous intensity level; 3) tailored to individual user’s needs, using the smart textile data, and based on available evidence and big data analysis; 4) highly engaging, e.g. by adding a narrative and context information, and using user input throughout the design (‘participatory development’). The project includes extensive testing and dissemination of results. Market analysis will explore commercial business opportunities (e.g. technology-based connected health) and social marketing opportunities (e.g. via schools). The SmartLife project proposes a technological innovation via integration of exergames and smart textiles, to optimally reach the exergaming’s full market potential and effectively address the non-leisure purpose of health promotion among adolescents, as stipulated in the work programme.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologymaterials engineeringtextiles
- social scienceseconomics and businessbusiness and managementbusiness models
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- social scienceseconomics and businessbusiness and managementemployment
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
2804-537 Almada
Portugal
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.