Smart Sensing Technologies for Personalised Coaching

• Andere auteurs: Banos, Oresti (Redacteur), Hermens, Hermie (Redacteur), Nugent, Christopher (Redacteur), Pomares, Hector (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Onderwerpen: Technology: general issues; activity recognition; wearable devices; inertial sensors; Bluetooth beacons; machine learning; e-coaching; m-health intervention; personalization; healthy lifestyle; physical activity; tangible user interface; affordance; multimodal cueing; animate objects; activities of daily living; human activity recognition; context-awareness; Bayesian network; mobile application; wearable computing; wrist-worn heart rate devices; cardiac rehabilitation; real-time wearable monitoring; fuzzy logic; fuzzy linguistic approach; m-health; remote coaching; telemonitoring; telehealth; cadence; marathon; elevation change analysis; personalized assistance level; coaching; electric bicycles; ubiquitous computing; health; human-centered computing; digital coaching; diabetes education; serious gaming; self-management; user evaluations; sedentary lifestyle; context recognition; unhealthy sitting habits; wearable sensors; smartphones; smart objects; behavior change
• Online toegang: DOAB: download the publication; DOAB: description of the publication

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...