An Integrated System for People Fall-Detection with Data Fusion Capabilities Based on 3D ToF Camera and Wireless Accelerometer (Contributo in atti di convegno)

Type
Label
  • An Integrated System for People Fall-Detection with Data Fusion Capabilities Based on 3D ToF Camera and Wireless Accelerometer (Contributo in atti di convegno) (literal)
Anno
  • 2010-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/ICSENS.2010.5690746 (literal)
Alternative label
  • Grassi M, Lombardi A, Rescio G, Malcovati P, Leone A, Diraco G, Siciliano P, Malfatti M, Gonzo L (2010)
    An Integrated System for People Fall-Detection with Data Fusion Capabilities Based on 3D ToF Camera and Wireless Accelerometer
    in International Conference IEEE SENSORS, Waikoloa (US),
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Grassi M, Lombardi A, Rescio G, Malcovati P, Leone A, Diraco G, Siciliano P, Malfatti M, Gonzo L (literal)
Pagina inizio
  • 1016 (literal)
Pagina fine
  • 1019 (literal)
Rivista
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-IMM, Università di Pavia, Fondazione Bruno Kessler (literal)
Titolo
  • An Integrated System for People Fall-Detection with Data Fusion Capabilities Based on 3D ToF Camera and Wireless Accelerometer (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-1-4244-8170-5 (literal)
Abstract
  • This paper presents a multi-sensor system for the detection of people falls in the home environment. Two kinds of devices are used: a MEMS wearable wireless accelerometer with onboard fall detection algorithms and a 3D Time-of-Flight camera. An embedded computing system receives the possible fall alarm data from the two sub-sensory systems and their associated level of confidence. The computing module hosts a data fusion software to operate the validation and correlation among the two subsystems delivered data in order to rise overall system efficiency performance with respect to each single sensor sub-system. (literal)
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