Analysing environmental acoustic data through collaboration and automation
Wimmer, Jason, Towsey, Michael, Planitz, Birgit, Williamson, Ian, & Roe, Paul (2013) Analysing environmental acoustic data through collaboration and automation. Future Generation Computer Systems, 29(2), pp. 560-568.
Monitoring environmental health is becoming increasingly important as human activity and climate change place greater pressure on global biodiversity. Acoustic sensors provide the ability to collect data passively, objectively and continuously across large areas for extended periods. While these factors make acoustic sensors attractive as autonomous data collectors, there are significant issues associated with large-scale data manipulation and analysis. We present our current research into techniques for analysing large volumes of acoustic data efficiently. We provide an overview of a novel online acoustic environmental workbench and discuss a number of approaches to scaling analysis of acoustic data; online collaboration, manual, automatic and human-in-the loop analysis.
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|Item Type:||Journal Article|
|Keywords:||Sensors, Acoustic sensing, Data analysis, Biodiversity monitoring|
|Subjects:||Australian and New Zealand Standard Research Classification > ENVIRONMENTAL SCIENCES (050000) > ECOLOGICAL APPLICATIONS (050100)
Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000) > ENVIRONMENTAL BIOTECHNOLOGY (100200) > Environmental Biotechnology Diagnostics (incl. Biosensors) (100204)
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 Elsevier B.V.|
|Copyright Statement:||This is the author’s version of a work that was accepted for publication in Future Generation Computer Systems. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Future Generation Computer Systems, [Volume 29, Issue 2, (February 2013)] DOI: 10.1016/j.future.2012.03.004|
|Deposited On:||18 Jun 2012 22:45|
|Last Modified:||25 Mar 2014 03:39|
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