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Large scale participatory acoustic sensor data analysis : tools and reputation models to enhance effectiveness

Truskinger, Anthony Masters, Yang, Haofan, Wimmer, Jason, Zhang, Jinglan, Williamson, Ian, & Roe, Paul (2011) Large scale participatory acoustic sensor data analysis : tools and reputation models to enhance effectiveness. In Werner, Bob (Ed.) 7th IEEE International Conference on eScience, IEEE Computer Society, Stockholm City Conference Centre/Norra Latin, Stockholm. (In Press)

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Abstract

Acoustic sensors play an important role in augmenting the traditional biodiversity monitoring activities carried out by ecologists and conservation biologists. With this ability however comes the burden of analysing large volumes of complex acoustic data. Given the complexity of acoustic sensor data, fully automated analysis for a wide range of species is still a significant challenge. This research investigates the use of citizen scientists to analyse large volumes of environmental acoustic data in order to identify bird species. Specifically, it investigates ways in which the efficiency of a user can be improved through the use of species identification tools and the use of reputation models to predict the accuracy of users with unidentified skill levels. Initial experimental results are reported.

Impact and interest:

1 citations in Scopus
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ID Code: 45996
Item Type: Conference Paper
Keywords: acoustic sensing, citizen science, reputation management, participatory sensing, participatory analysis, global climate change, sensors
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > OTHER INFORMATION AND COMPUTING SCIENCES (089900) > Information and Computing Sciences not elsewhere classified (089999)
Divisions: Past > Schools > Biogeoscience
Past > Schools > Computer Science
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2011 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 22 Sep 2011 08:23
Last Modified: 22 Sep 2011 15:54

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