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Smart Sensing Technologies for Personalised Coaching
Engleski
126 b
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29.83
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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; physical activity; electric bicycles; ubiquitous computing; health; human-centered computing; digital coaching; diabetes education; serious gaming; self-management; user evaluations; physical activity; machine learning; coaching; sedentary lifestyle; context recognition; self-management; unhealthy sitting habits; e-coaching; wearable sensors; smartphones; smart objects; activity recognition; context-awareness; behavior change
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Engleski
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