TOF sensor network for AAL monitoring services (Contributo in atti di convegno)

Type
Label
  • TOF sensor network for AAL monitoring services (Contributo in atti di convegno) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.procs.2013.06.068 (literal)
Alternative label
  • Leone, Alessandro; Diraco, Giovanni; Siciliano, Pietro (2013)
    TOF sensor network for AAL monitoring services
    in ANT/SEIT 2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Leone, Alessandro; Diraco, Giovanni; Siciliano, Pietro (literal)
Pagina inizio
  • 511 (literal)
Pagina fine
  • 515 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.scopus.com/record/display.url?eid=2-s2.0-84896923790&origin=inward (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 19 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 19 (literal)
Rivista
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Consiglio Nazionale delle Ricerche (literal)
Titolo
  • TOF sensor network for AAL monitoring services (literal)
Abstract
  • The main goal of Ambient Assisted Living solutions is to provide assistive technologies and services in smart environments allowing to elderly people to have high quality of life. Since Time-Of-Flight vision technologies are increasingly investigated as monitoring solution able to outperform traditional approaches, in this work a monitoring framework based on a Time-Of-Flight sensor network has been investigated with the aim to provide a wide-range solution suitable in several assisted living scenarios. Detector nodes are managed by a low-power embedded PC to process Time-Of-Flight streams and cxtract features related with person's activities. The feature level of detail is tuned in an application-driven manner in order to optimize both bandwidth and computational resources. The event detection capabilities were validated by using data collected in real-home environments. © 2013 The Authors. Published by Elsevier B.V. (literal)
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