Semantic and Implicit HCI: A Step Forward AmI Delivery at Home for Patient Experience

  title={Semantic and Implicit HCI: A Step Forward AmI Delivery at Home for Patient Experience},
  author={Ana Isabel Calvo Alcalde and Juan Jos{\'e} Andr{\'e}s Guti{\'e}rrez and Jes{\'u}s Vegas Hern{\'a}ndez and Rafael Cano-Parra and Esteban P{\'e}rez Castrej{\'o}n},
Spanish population over 65 years old will soon be an important fraction. These data show the need for some helping technologies that make possible to deal with this scenario. This research aims to explore Ambient Intelligence and Semantic Web technologies to allow personal health monitoring and user interactions at home as transparent as possible. To achieve this goal a Multi-Agent System is proposed, focusing on knowledge representation. The ontology has been defined according to current… 
1 Citations
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An Intelligent Broker Architecture for Pervasive Context-Aware Systems
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Implicit human computer interaction through context
  • A. Schmidt
  • Computer Science
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  • 2005
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A Wearable Context Aware System for Ubiquitous Healthcare
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Users' Preferences for Ubiquitous Computing Applications at Home
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Semantic Web in the context broker architecture
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