An innovative signal processing method to extract ants' walking signals

Oberst, S; Nava-Baro, E; Lai, JCS; Evans, TA

An innovative signal processing method to extract ants' walking signals

Oberst, S

Nava-Baro, E Lai, JCS Evans, TA

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Publication Type:: Journal Article
Citation:: Acoustics Australia, 2015, 43 (1), pp. 87 - 96
Issue Date:: 2015-04-01

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Field	Value	Language
dc.contributor.author	Oberst, S https://orcid.org/0000-0002-1388-2749	en_US
dc.contributor.author	Nava-Baro, E	en_US
dc.contributor.author	Lai, JCS	en_US
dc.contributor.author	Evans, TA	en_US
dc.date.issued	2015-04-01	en_US
dc.identifier.citation	Acoustics Australia, 2015, 43 (1), pp. 87 - 96	en_US
dc.identifier.issn	0814-6039	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121198
dc.description.abstract	© 2015 Australian Acoustical Society. Eusocial insects such as bees, ants and termites communicate multi-modally using chemical, visual, tactile and vibrational cues. While much work has been done on chemical and visual communications, the tactile and vibrational communication channel is somewhat neglected. Recent research indicates that structural vibrations caused by ants can be used to identify their activity level. However, these structural vibrations are caused by the response of the substrate excited by ants walking. The objective of this study is to determine the footprint of ants walking by separating the response of the substrate from the walking signal. The vibration of the substrate (in this case, a wooden veneer) caused by ants walking is measured by a laser vibrometer in an experimental setup isolated from environmental vibrations. By filtering the recorded vibration signal using a technique based on the dynamics in phase space followed by deconvolution from the response of the veneer using Tikhonov regularisation, the ant's walking signal is extracted and its nature determined.	en_US
dc.relation.ispartof	Acoustics Australia	en_US
dc.relation.isbasedon	10.1007/s40857-015-0003-x	en_US
dc.subject.classification	Acoustics	en_US
dc.title	An innovative signal processing method to extract ants' walking signals	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	43	en_US
utslib.for	02 Physical Sciences	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	43	en_US

Abstract:

© 2015 Australian Acoustical Society. Eusocial insects such as bees, ants and termites communicate multi-modally using chemical, visual, tactile and vibrational cues. While much work has been done on chemical and visual communications, the tactile and vibrational communication channel is somewhat neglected. Recent research indicates that structural vibrations caused by ants can be used to identify their activity level. However, these structural vibrations are caused by the response of the substrate excited by ants walking. The objective of this study is to determine the footprint of ants walking by separating the response of the substrate from the walking signal. The vibration of the substrate (in this case, a wooden veneer) caused by ants walking is measured by a laser vibrometer in an experimental setup isolated from environmental vibrations. By filtering the recorded vibration signal using a technique based on the dynamics in phase space followed by deconvolution from the response of the veneer using Tikhonov regularisation, the ant's walking signal is extracted and its nature determined.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/121198