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
Link To Document :
بازگشت