Article

An empirical study of collaborative acoustic source localization

Authors:

Andreas M. Ali,

Travis C. Collier,

Charles E. Taylor,

Daniel T. Blumstein,

Lewis GirodAuthors Info & Claims

IPSN '07: Proceedings of the 6th international conference on Information processing in sensor networks

Pages 41 - 50

https://doi.org/10.1145/1236360.1236367

Published: 25 April 2007 Publication History

Abstract

Field biologists use animal sounds to discover the presence of individuals and to study their behavior. Collecting bioacoustic data has traditionally been a difficult and time consuming process in which researchers use portable microphones to record sounds while taking notes of their own detailed observations. The recent development of new deployable acoustic sensor platforms presents opportunities to develop automated tools for bio-acoustic field research. In this work, we implement an AML-based source localization algorithm, and use it to localize marmot alarm-calls. We assess the performance of these techniques based on results from two field experiments: (1) a controlled test of direction-of-arrival (DOA) accuracy using a pre-recorded source signal, and (2) an experiment to detect and localize actual animals in their habitat, with a comparison to ground truth gathered from human observations. Although small arrays yield ambiguities from spatial aliasing of high frequency signals, we show that these ambiguities are readily eliminated by proper bearing crossings of the DOAs from several arrays. These results show that the AML source localization algorithm can be used to localize actual animals in their natural habitat, using a platform that is practical to deploy.

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Cited By

Elvira VMartino LLuengo DBugallo M(2017)Improving population Monte CarloSignal Processing10.1016/j.sigpro.2016.07.012131:C(77-91)Online publication date: 1-Feb-2017
https://dl.acm.org/doi/10.1016/j.sigpro.2016.07.012
Martino LElvira VLuengo DCorander J(2017)Layered adaptive importance samplingStatistics and Computing10.1007/s11222-016-9642-527:3(599-623)Online publication date: 1-May-2017
https://dl.acm.org/doi/10.1007/s11222-016-9642-5
Sur SWei TZhang XCampbell AKotz DCox LMao Z(2014)Autodirective audio capturing through a synchronized smartphone arrayProceedings of the 12th annual international conference on Mobile systems, applications, and services10.1145/2594368.2594380(28-41)Online publication date: 2-Jun-2014
https://dl.acm.org/doi/10.1145/2594368.2594380
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Index Terms

An empirical study of collaborative acoustic source localization
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Signal processing systems

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cover image ACM Conferences

IPSN '07: Proceedings of the 6th international conference on Information processing in sensor networks

April 2007

592 pages

ISBN:9781595936387

DOI:10.1145/1236360

General Chair:
Tarek Abdelzaher
University of Illinois at Urbana-Champaign
,
Program Chairs:
Leo Guibas
Stanford University
,
Matt Welsh
Harvard University

Copyright © 2007 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 25 April 2007

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IPSN07: The 6th International Conference on Information Processing in Sensor Networks

April 25 - 27, 2007

Massachusetts, Cambridge, USA

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Overall Acceptance Rate 143 of 593 submissions, 24%

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Cited By

Elvira VMartino LLuengo DBugallo M(2017)Improving population Monte CarloSignal Processing10.1016/j.sigpro.2016.07.012131:C(77-91)Online publication date: 1-Feb-2017
https://dl.acm.org/doi/10.1016/j.sigpro.2016.07.012
Martino LElvira VLuengo DCorander J(2017)Layered adaptive importance samplingStatistics and Computing10.1007/s11222-016-9642-527:3(599-623)Online publication date: 1-May-2017
https://dl.acm.org/doi/10.1007/s11222-016-9642-5
Sur SWei TZhang XCampbell AKotz DCox LMao Z(2014)Autodirective audio capturing through a synchronized smartphone arrayProceedings of the 12th annual international conference on Mobile systems, applications, and services10.1145/2594368.2594380(28-41)Online publication date: 2-Jun-2014
https://dl.acm.org/doi/10.1145/2594368.2594380
Klein DVenkateswaran SIsaacs JBurman JPham THespanha JMadhow U(2013)Localization with sparse acoustic sensor network using UAVs as information-seeking data mulesACM Transactions on Sensor Networks10.1145/2480730.24807339:3(1-29)Online publication date: 4-Jun-2013
https://dl.acm.org/doi/10.1145/2480730.2480733
Xu BSun GYu RYang Z(2013)High-Accuracy TDOA-Based Localization without Time SynchronizationIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2012.24824:8(1567-1576)Online publication date: 1-Aug-2013
https://dl.acm.org/doi/10.1109/TPDS.2012.248
Dai SLi CChen C(2012)DI-GEP: A New Lifetime Extending Algorithm for Target Tracking in Wireless Sensor NetworksInternational Journal of Distributed Sensor Networks10.1155/2012/4674978:3(467497)Online publication date: 14-Mar-2012
https://doi.org/10.1155/2012/467497
Ahn JCha HOssowski SLecca P(2012)A sensor network-based multiple acoustic source localization algorithmProceedings of the 27th Annual ACM Symposium on Applied Computing10.1145/2245276.2245380(544-549)Online publication date: 26-Mar-2012
https://dl.acm.org/doi/10.1145/2245276.2245380
Bob F(2012)Embedded solution for universal acoustic source distance localization using three microphones2012 10th International Symposium on Electronics and Telecommunications10.1109/ISETC.2012.6408144(359-362)Online publication date: Nov-2012
https://doi.org/10.1109/ISETC.2012.6408144
Dastgheib S(2012)An efficient approach to detect faulty readings in long-thin wireless sensor network using fuzzy logic2012 International Conference on Future Communication Networks10.1109/ICFCN.2012.6206880(88-92)Online publication date: Apr-2012
https://doi.org/10.1109/ICFCN.2012.6206880
Ko JKlues KRichter CHofer WKusy BBruenig MSchmid TWang QDutta PTerzis A(2012)Low power or high performance? a tradeoff whose time has come (and nearly gone)Proceedings of the 9th European conference on Wireless Sensor Networks10.1007/978-3-642-28169-3_7(98-114)Online publication date: 15-Feb-2012
https://dl.acm.org/doi/10.1007/978-3-642-28169-3_7
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