Smart Sensing Technologies for Personalised e-Coaching
Metadatos
Mostrar el registro completo del ítemEditorial
MDPI
Materia
Wearable sensors Smart objects Activity recognition Context awareness Behavior change
Fecha
2018-05-29Referencia bibliográfica
Banos, O., Hermens, H., Nugent, C., & Pomares, H. (2018). Smart Sensing Technologies for Personalised e-Coaching. Sensors 2018, 18, 1751
Patrocinador
The authors also want to acknowledge received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement #769553Resumen
People living in both developed and developing countries face serious health challenges
related to sedentary lifestyles. It is therefore essential to find new ways to improve health so that
people can live longer and age well. With an ever-growing number of smart sensing systems
developed and deployed across the globe, experts are primed to help coach people to have healthier
behaviors. The increasing accountability associated with app- and device-based behavior tracking
not only provides timely and personalized information and support, but also gives us an incentive
to set goals and do more. This paper outlines some of the recent efforts made towards automatic
and autonomous identification and coaching of troublesome behaviors to procure lasting, beneficial
behavioral changes.