• DocumentCode
    2046383
  • Title

    Acoustic Source Localization Using the Acoustic ENSBox

  • Author

    Ali, Andreas M. ; Yao, Kung ; Collier, Travis C. ; Taylor, Charles E. ; Blumstein, Daniel T. ; Girod, Lewis

  • Author_Institution
    Electr. Eng. UC, California
  • fYear
    2007
  • fDate
    25-27 April 2007
  • Firstpage
    555
  • Lastpage
    556
  • Abstract
    Field biologists use animal sounds to discover the presence of individuals and to study their behavior. The recent development of new deployable acoustic sensor platforms presents opportunities to develop automated tools for bio-acoustic field research. In this work, we demonstrate a real-time wireless sensor system that implements an AML-based source localization algorithm. We will demonstrate a system that is easy to set up and that can localize a whistle in the demonstration area in real time. This demonstration will use the techniques we described in our corresponding paper [1].
  • Keywords
    acoustic transducers; real-time systems; wireless sensor networks; AML-based source localization algorithm; acoustic ENSBox; acoustic source localization; animal sounds; bio-acoustic field research; deployable acoustic sensor platforms; field biologists; real-time wireless sensor system; Acoustic sensors; Acoustic signal detection; Animals; Biomedical signal processing; Direction of arrival estimation; Event detection; Evolution (biology); Real time systems; Sensor arrays; Signal processing algorithms; AML; Algorithms; Bioacoustics; Experimentation; Measurement; acoustic source localization; distributed signal processing; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing in Sensor Networks, 2007. IPSN 2007. 6th International Symposium on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    978-1-59593-638-7
  • Type

    conf

  • DOI
    10.1109/IPSN.2007.4379723
  • Filename
    4379723