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The Web of Things as an Infrastructure for Improving Users’ Health and Wellbeing

The Web of Things as an Infrastructure for Improving Users’ Health and Wellbeing. Eduardo Velloso 1 , Débora Cardador 2 , Katia Vega 2 , Wallace Ugulino 2 , Andreas Bulling 3, 1 , Hans Gellersen 1 and Hugo Fuks 2 1 Lancaster University , 2 PUC-Rio , 3 University of Cambridge.

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The Web of Things as an Infrastructure for Improving Users’ Health and Wellbeing

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  1. The Web of Things as an Infrastructure for Improving Users’ Health and Wellbeing Eduardo Velloso1, DéboraCardador2, Katia Vega2, Wallace Ugulino2, Andreas Bulling3, 1, Hans Gellersen1and Hugo Fuks2 1Lancaster University,2PUC-Rio,3University of Cambridge

  2. A new paradigm • Ubiquitous Computing: a new paradigm of computing • Post Desktop Interaction (typesofinteraction, new interfaces, usercontrol) • + Semantic Web • + Multi-Agents Systems • Major issues • How can these systems interact with people, environments and other systems? • How can all the information collected by the system be smartly represented so it can be useful? • How can the system use this information to make intelligent inferences over context? • “The richness of this new paradigm of computing is not only in the new smart devices or environment, but in how they interact among themselves and with people. Moreover, the richness of the process really blossoms when fixed environments can interact with mobile devices, when virtual avatars can collaborate with real people, when form meets behaviour.” VELLOSO, E.; RAPOSO, A.; FUKS, H.; Web of Things: The Collaborative Interaction Designer Point of View. Web Science Brasil 2010, I Workshop of the Brazilian Institute for Web Science Research, Rio de Janeiro, August 2010. @LES/PUC-Rio

  3. Web of Things Support for Health and Wellbeing • How can the Web of Things offer support to improve our health and wellbeing? Different technologies can be used for monitoring multiple physiological signals at a distance (telemonitoring) and for providing information to alert systems that detect or predict emergency health situations and for physical activities monitoring. • Using context information in order to recognize activities. Context information gathered by physical or hard sensors embedded in devices, such as accelerometers, pressure pads and thermometers; virtual or soft sensors, such as an electronic schedule and websites; or a combination of them. Examples: user’s location, the current time, environmental conditions and the user’s activity. Sensor-based, single-user activityrecognition. @LES/PUC-Rio

  4. Ongoing Work • Ubilife • Investigates how to create UbiComp environments for supporting elders in their activities of daily living (ADLs). • Proposes the prototyping of UbiComp systems for monitoring and measuring vital signals, and for providing healthcare in their own homes. • Makes use of wearable computers, tangibles and virtual reality in a way that do not disturb the elders’ routine. • Based on a Multi-Agent System (MAS). • PerActive • Project goal is to provide pervasive computing support for weight lifting activities by not only recognizing the exercise, but assessing how well the user is doing it. • Information on the user’s performance is gathered via IMU’s (inertial measurement units – measures velocity, orientation, and gravitational forces) installed on the weights, and on the user’s body, and is combined with information from his personal exercise routine. • Feedback would be available online, via audio and vibration and offline, in an exercise report. @LES/PUC-Rio

  5. SecondLab DéboraCardador dcosta@inf.puc-rio.br

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