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""While Nokia is perhaps most recognized for its leadership in the mobile phone market, they have successfully demonstrated their knowledge of the Internet security appliance market and its customers requirements.""--Chris Christiansen, Vice President, Internet Infrastructure and Security Software, IDC.Syngress has a long history of publishing market-leading books for system administrators and security professionals on commercial security products, particularly Firewall and Virtual Private Network (VPN) appliances from Cisco, Check Point, Juniper, SonicWall, and Nokia (see related

Wireless Internet --- Nokia smartphones. --- Extranets (Computer networks) --- Firewalls (Computer security) --- Software configuration management. --- Computer programs. --- Internet Protocol for Smart Objects --- Computer software configuration management --- Configuration management --- Computer firewalls --- Internet firewalls --- Intranet firewalls --- Computer networks --- Virtual private networks (Computer networks) --- VPNs (Computer networks) --- Business enterprises --- Wide area networks (Computer networks) --- Smartphones --- Internet --- Wireless communication systems --- Security measures --- Information Technology --- General and Others

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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.

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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

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 --- 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