• DocumentCode
    693548
  • Title

    Poster abstract: Occupancy estimation using real and virtual sensors

  • Author

    Srirangarajan, Seshan ; Pesch, Dirk

  • Author_Institution
    Nimbus Center for Embedded Syst. Res., Cork Inst. of Technol., Cork, Ireland
  • fYear
    2013
  • fDate
    8-11 April 2013
  • Firstpage
    347
  • Lastpage
    348
  • Abstract
    In this paper we present occupancy estimation techniques using real (motion, door closure) and virtual (PC activity detector) sensors. The techniques considered here are based on the decision tree and artificial neural network models. Results from an experimental test-bed in a four person office room are also presented.
  • Keywords
    decision trees; electric sensing devices; neural nets; virtual instrumentation; artificial neural network model; decision tree; occupancy estimation techniques; real sensor; virtual sensor; Buildings; Computational modeling; Decision trees; Detectors; Estimation; Neural networks; Occupancy; decision tree; neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing in Sensor Networks (IPSN), 2013 ACM/IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Type

    conf

  • DOI
    10.1109/IPSN.2013.6917591
  • Filename
    6917591
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=693548