Smart Sensing Technologies for Personalised Coaching

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 can age well. With an ever-growing number of smart sensing systems developed and de...

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Other Authors: Banos, Oresti (Editor), Hermens, Hermie (Editor), Nugent, Christopher (Editor), Pomares, Hector (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
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DOAB: description of the publication
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520 |a 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 can age well. With an ever-growing number of smart sensing systems developed and deployed across the globe, experts are primed to help coach people toward 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 to do more. This book presents some of the recent efforts made towards automatic and autonomous identification and coaching of troublesome behaviors to procure lasting, beneficial behavioral changes. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by/4.0/ 
546 |a English 
650 7 |a Technology: general issues  |2 bicssc 
653 |a activity recognition 
653 |a wearable devices 
653 |a inertial sensors 
653 |a Bluetooth beacons 
653 |a machine learning 
653 |a e-coaching 
653 |a m-health intervention 
653 |a personalization 
653 |a healthy lifestyle 
653 |a physical activity 
653 |a tangible user interface 
653 |a affordance 
653 |a multimodal cueing 
653 |a animate objects 
653 |a activities of daily living 
653 |a human activity recognition 
653 |a context-awareness 
653 |a Bayesian network 
653 |a mobile application 
653 |a wearable computing 
653 |a wrist-worn heart rate devices 
653 |a cardiac rehabilitation 
653 |a real-time wearable monitoring 
653 |a fuzzy logic 
653 |a fuzzy linguistic approach 
653 |a m-health 
653 |a remote coaching 
653 |a telemonitoring 
653 |a telehealth 
653 |a cadence 
653 |a marathon 
653 |a elevation change analysis 
653 |a personalized assistance level 
653 |a coaching 
653 |a electric bicycles 
653 |a ubiquitous computing 
653 |a health 
653 |a human-centered computing 
653 |a digital coaching 
653 |a diabetes education 
653 |a serious gaming 
653 |a self-management 
653 |a user evaluations 
653 |a sedentary lifestyle 
653 |a context recognition 
653 |a unhealthy sitting habits 
653 |a wearable sensors 
653 |a smartphones 
653 |a smart objects 
653 |a behavior change 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/76677  |7 0  |z DOAB: description of the publication