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dc.contributor.authorFernández-Carmona, Manuel
dc.contributor.authorUrdiales-García, Amalia Cristina 
dc.date.accessioned2024-10-03T06:51:37Z
dc.date.available2024-10-03T06:51:37Z
dc.date.issued2013
dc.identifier.urihttps://hdl.handle.net/10630/34232
dc.description.abstractAmbient intelligence (AmI) was coined as a term by the European Commission, as discussed in the work of (Ducatel et al. 2001), and has received major attention in the last decade. An AmI environment is expected to be sensitive to the needs, personal requirements, and preferences of its inhabitants and capable of anticipating their needs and behavior to interact with people in a user-friendly way (Sadri 2011). There are many similar definitions, but most authors agree that all of them imply the capability of embedding sensors in everyday objects to raise context awareness and processors to learn and adapt to the user’s behavior (Aarts et al. 2002; Gaggioli 2005).es_ES
dc.language.isoenges_ES
dc.publisherTaylor & Francises_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectInteligencia artificial - Aplicaciones médicases_ES
dc.subject.otherAmbient intelligencees_ES
dc.titleMedical Applications of Artificial Intelligence: Chapter 20 A Crash Introduction to Ambient Assisted Living.es_ES
dc.typeinfo:eu-repo/semantics/bookPartes_ES
dc.centroE.T.S.I. Telecomunicaciónes_ES
dc.identifier.doi10.1201/b15618
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersiones_ES


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