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Sensors 2018, 18(6), 1751;

Smart Sensing Technologies for Personalised e-Coaching

Biomedical Signals and Systems Group, University of Twente, 7522 NB Enschede, The Netherlands
CITIC-UGR, University of Granada, E-18015 Granada, Spain
Telemedicine Group, Roessingh Research and Development, 7500 AH Enschede, The Netherlands
Smart Environments Research Group, Ulster University, Newtownabbey BT37 0QB, UK
Author to whom correspondence should be addressed.
Received: 25 May 2018 / Accepted: 28 May 2018 / Published: 29 May 2018
(This article belongs to the Special Issue Smart Sensing Technologies for Personalised Coaching)
Full-Text   |   PDF [165 KB, uploaded 29 May 2018]


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. View Full-Text
Keywords: e-coaching; wearable sensors; smartphones; smart objects; activity recognition; context-awareness; behavior change e-coaching; wearable sensors; smartphones; smart objects; activity recognition; context-awareness; behavior change
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Banos, O.; Hermens, H.; Nugent, C.; Pomares, H. Smart Sensing Technologies for Personalised e-Coaching. Sensors 2018, 18, 1751.

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