Detection of user activities in intelligent environments (Contributo in volume (capitolo o saggio))

Type
Label
  • Detection of user activities in intelligent environments (Contributo in volume (capitolo o saggio)) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-3-319-03992-3_2 (literal)
Alternative label
  • Augello, Agnese; Gaglio, Salvátore (2014)
    Detection of user activities in intelligent environments
    in , 2014
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Augello, Agnese; Gaglio, Salvátore (literal)
Pagina inizio
  • 19 (literal)
Pagina fine
  • 32 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.scopus.com/record/display.url?eid=2-s2.0-84903729976&origin=inward (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 260 (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Universita degli Studi di Palermo (literal)
Titolo
  • Detection of user activities in intelligent environments (literal)
Abstract
  • Research on Ambient Intelligence (AmI) focuses on the development of smart environments adaptable to the needs and preferences of their inhabitants. For this reason it is important to understand and model user preferences. In this chapter we describe a system to detect user behavior patterns in an intelligent workplace. The system is designed for a workplace equipped in the context of Sensor9k, a project carried out at the Department of Computer Science at the University of Palermo (Italy). © Springer International Publishing Switzerland 2014. (literal)
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