Using Temporal Logic and Model Checking in Automated Recognition of Human Activities for Ambient-Assisted Living (Articolo in rivista)

Type
Label
  • Using Temporal Logic and Model Checking in Automated Recognition of Human Activities for Ambient-Assisted Living (Articolo in rivista) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/TSMC.2013.2283661 (literal)
Alternative label
  • Magherini T., Fantechi A., Nugent C., Vicario E. (2013)
    Using Temporal Logic and Model Checking in Automated Recognition of Human Activities for Ambient-Assisted Living
    in IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Reviews
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Magherini T., Fantechi A., Nugent C., Vicario E. (literal)
Pagina inizio
  • 509 (literal)
Pagina fine
  • 521 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6670821 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 43 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 13 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 6 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
  • PuMa (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Department of Information Engineering, University of Florence, Italy; Department of Information Engineering, University of Florence, Italy - CNR-ISTI, Pisa, Italy; University of Ulster, Ireland; Department of Information Engineering, University of Florence, Italy (literal)
Titolo
  • Using Temporal Logic and Model Checking in Automated Recognition of Human Activities for Ambient-Assisted Living (literal)
Abstract
  • Automated monitoring and the recognition of activities of daily living (ADLs) is a key challenge in ambient-assisted living (AAL) for the assistance of the elderly. Within this context, a formal approach may provide a means to fill the gap between the low-level observations acquired by sensing devices and the high-level concepts that are required for the recognition of human activities. We describe a system named ARA (Automated Recognizer of ADLs) that exploits propositional temporal logic and model checking to support automated real-time recognition of ADLs within a smart environment. The logic is shown to be expressive enough for the specification of realistic patterns of ADLs in terms of basic actions detected by a sensorized environment. The online model checking engine is shown to be capable of processing a stream of detected actions in real time. The effectiveness and viability of the approach are evaluated within the context of a smart kitchen, where different types of ADLs are repeatedly performed. (literal)
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