Identification of animal movement patterns using tri-axial magnetometry

Autores
Williams, Hannah J.; Holton, Mark D.; Shepard, Emily L. C.; Largey, Nicola; Norman, Brad; Ryan, Peter G.; Duriez, Olivier; Scantlebury, Michael; Quintana, Flavio Roberto; Magowan, Elizabeth A.; Marks, Nikki J.; Alagaili, Abdulaziz N.; Bennett, Nigel C.; Wilson, Rory P.
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background: Accelerometers are powerful sensors in many bio-logging devices, and are increasingly allowing researchers to investigate the performance, behaviour, energy expenditure and even state, of free-living animals. Another sensor commonly used in animal-attached loggers is the magnetometer, which has been primarily used in dead-reckoning or inertial measurement tags, but little outside that. We examine the potential of magnetometers for helping elucidate the behaviour of animals in a manner analogous to, but very different from, accelerometers. The particular responses of magnetometers to movement means that there are instances when they can resolve behaviours that are not easily perceived using accelerometers. Methods: We calibrated the tri-axial magnetometer to rotations in each axis of movement and constructed 3-dimensional plots to inspect these stylised movements. Using the tri-axial data of Daily Diary tags, attached to individuals of number of animal species as they perform different behaviours, we used these 3-d plots to develop a framework with which tri-axial magnetometry data can be examined and introduce metrics that should help quantify movement and behaviour.Results: Tri-axial magnetometry data reveal patterns in movement at various scales of rotation that are not always evident in acceleration data. Some of these patterns may be obscure until visualised in 3D space as tri-axial spherical plots (m-spheres). A tag-fitted animal that rotates in heading while adopting a constant body attitude produces a ring of data around the pole of the m-sphere that we define as its Normal Operational Plane (NOP). Data that do not lie on this ring are created by postural rotations of the animal as it pitches and/or rolls. Consequently, stereotyped behaviours appear as specific trajectories on the sphere (m-prints), reflecting conserved sequences of postural changes (and/or angular velocities), which result from the precise relationship between body attitude and heading. This novel approach shows promise for helping researchers to identify and quantify behaviours in terms of animal body posture, including heading. Conclusion: Magnetometer-based techniques and metrics can enhance our capacity to identify and examine animal behaviour, either as a technique used alone, or one that is complementary to tri-axial accelerometry.
Fil: Williams, Hannah J.. Swansea University; Reino Unido
Fil: Holton, Mark D.. Swansea University; Reino Unido
Fil: Shepard, Emily L. C.. Swansea University; Reino Unido
Fil: Largey, Nicola. Swansea University; Reino Unido
Fil: Norman, Brad. Ecocean Inc. (aust.); Australia
Fil: Ryan, Peter G.. University of Cape Town; Sudáfrica
Fil: Duriez, Olivier. Université Paul-Valéry Montpellier; Francia
Fil: Scantlebury, Michael. The Queens University of Belfast; Irlanda
Fil: Quintana, Flavio Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Magowan, Elizabeth A.. The Queens University of Belfast; Irlanda
Fil: Marks, Nikki J.. The Queens University of Belfast; Irlanda
Fil: Alagaili, Abdulaziz N.. King Saud University; Arabia Saudita
Fil: Bennett, Nigel C.. University of Pretoria; Sudáfrica
Fil: Wilson, Rory P.. Swansea University; Reino Unido
Materia
ACCELEROMETER
ANGULAR VELOCITY
ANIMAL BEHAVIOUR
BEHAVIOURAL CONSISTENCY
BIO-LOGGING
MAGNETIC FIELD
MAGNETOMETER
NORMAL OPERATIONAL PLANE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/37169

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oai_identifier_str oai:ri.conicet.gov.ar:11336/37169
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Identification of animal movement patterns using tri-axial magnetometryWilliams, Hannah J.Holton, Mark D.Shepard, Emily L. C.Largey, NicolaNorman, BradRyan, Peter G.Duriez, OlivierScantlebury, MichaelQuintana, Flavio RobertoMagowan, Elizabeth A.Marks, Nikki J.Alagaili, Abdulaziz N.Bennett, Nigel C.Wilson, Rory P.ACCELEROMETERANGULAR VELOCITYANIMAL BEHAVIOURBEHAVIOURAL CONSISTENCYBIO-LOGGINGMAGNETIC FIELDMAGNETOMETERNORMAL OPERATIONAL PLANEhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Background: Accelerometers are powerful sensors in many bio-logging devices, and are increasingly allowing researchers to investigate the performance, behaviour, energy expenditure and even state, of free-living animals. Another sensor commonly used in animal-attached loggers is the magnetometer, which has been primarily used in dead-reckoning or inertial measurement tags, but little outside that. We examine the potential of magnetometers for helping elucidate the behaviour of animals in a manner analogous to, but very different from, accelerometers. The particular responses of magnetometers to movement means that there are instances when they can resolve behaviours that are not easily perceived using accelerometers. Methods: We calibrated the tri-axial magnetometer to rotations in each axis of movement and constructed 3-dimensional plots to inspect these stylised movements. Using the tri-axial data of Daily Diary tags, attached to individuals of number of animal species as they perform different behaviours, we used these 3-d plots to develop a framework with which tri-axial magnetometry data can be examined and introduce metrics that should help quantify movement and behaviour.Results: Tri-axial magnetometry data reveal patterns in movement at various scales of rotation that are not always evident in acceleration data. Some of these patterns may be obscure until visualised in 3D space as tri-axial spherical plots (m-spheres). A tag-fitted animal that rotates in heading while adopting a constant body attitude produces a ring of data around the pole of the m-sphere that we define as its Normal Operational Plane (NOP). Data that do not lie on this ring are created by postural rotations of the animal as it pitches and/or rolls. Consequently, stereotyped behaviours appear as specific trajectories on the sphere (m-prints), reflecting conserved sequences of postural changes (and/or angular velocities), which result from the precise relationship between body attitude and heading. This novel approach shows promise for helping researchers to identify and quantify behaviours in terms of animal body posture, including heading. Conclusion: Magnetometer-based techniques and metrics can enhance our capacity to identify and examine animal behaviour, either as a technique used alone, or one that is complementary to tri-axial accelerometry.Fil: Williams, Hannah J.. Swansea University; Reino UnidoFil: Holton, Mark D.. Swansea University; Reino UnidoFil: Shepard, Emily L. C.. Swansea University; Reino UnidoFil: Largey, Nicola. Swansea University; Reino UnidoFil: Norman, Brad. Ecocean Inc. (aust.); AustraliaFil: Ryan, Peter G.. University of Cape Town; SudáfricaFil: Duriez, Olivier. Université Paul-Valéry Montpellier; FranciaFil: Scantlebury, Michael. The Queens University of Belfast; IrlandaFil: Quintana, Flavio Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; ArgentinaFil: Magowan, Elizabeth A.. The Queens University of Belfast; IrlandaFil: Marks, Nikki J.. The Queens University of Belfast; IrlandaFil: Alagaili, Abdulaziz N.. King Saud University; Arabia SauditaFil: Bennett, Nigel C.. University of Pretoria; SudáfricaFil: Wilson, Rory P.. Swansea University; Reino UnidoBioMed Central Ltd.2017-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/37169Williams, Hannah J.; Holton, Mark D.; Shepard, Emily L. C.; Largey, Nicola; Norman, Brad; et al.; Identification of animal movement patterns using tri-axial magnetometry; BioMed Central Ltd.; Movement Ecology; 5; 6; 3-2017; 1-142051-3933CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1186/s40462-017-0097-xinfo:eu-repo/semantics/altIdentifier/url/https://movementecologyjournal.biomedcentral.com/articles/10.1186/s40462-017-0097-xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:36:14Zoai:ri.conicet.gov.ar:11336/37169instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:36:14.613CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Identification of animal movement patterns using tri-axial magnetometry
title Identification of animal movement patterns using tri-axial magnetometry
spellingShingle Identification of animal movement patterns using tri-axial magnetometry
Williams, Hannah J.
ACCELEROMETER
ANGULAR VELOCITY
ANIMAL BEHAVIOUR
BEHAVIOURAL CONSISTENCY
BIO-LOGGING
MAGNETIC FIELD
MAGNETOMETER
NORMAL OPERATIONAL PLANE
title_short Identification of animal movement patterns using tri-axial magnetometry
title_full Identification of animal movement patterns using tri-axial magnetometry
title_fullStr Identification of animal movement patterns using tri-axial magnetometry
title_full_unstemmed Identification of animal movement patterns using tri-axial magnetometry
title_sort Identification of animal movement patterns using tri-axial magnetometry
dc.creator.none.fl_str_mv Williams, Hannah J.
Holton, Mark D.
Shepard, Emily L. C.
Largey, Nicola
Norman, Brad
Ryan, Peter G.
Duriez, Olivier
Scantlebury, Michael
Quintana, Flavio Roberto
Magowan, Elizabeth A.
Marks, Nikki J.
Alagaili, Abdulaziz N.
Bennett, Nigel C.
Wilson, Rory P.
author Williams, Hannah J.
author_facet Williams, Hannah J.
Holton, Mark D.
Shepard, Emily L. C.
Largey, Nicola
Norman, Brad
Ryan, Peter G.
Duriez, Olivier
Scantlebury, Michael
Quintana, Flavio Roberto
Magowan, Elizabeth A.
Marks, Nikki J.
Alagaili, Abdulaziz N.
Bennett, Nigel C.
Wilson, Rory P.
author_role author
author2 Holton, Mark D.
Shepard, Emily L. C.
Largey, Nicola
Norman, Brad
Ryan, Peter G.
Duriez, Olivier
Scantlebury, Michael
Quintana, Flavio Roberto
Magowan, Elizabeth A.
Marks, Nikki J.
Alagaili, Abdulaziz N.
Bennett, Nigel C.
Wilson, Rory P.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ACCELEROMETER
ANGULAR VELOCITY
ANIMAL BEHAVIOUR
BEHAVIOURAL CONSISTENCY
BIO-LOGGING
MAGNETIC FIELD
MAGNETOMETER
NORMAL OPERATIONAL PLANE
topic ACCELEROMETER
ANGULAR VELOCITY
ANIMAL BEHAVIOUR
BEHAVIOURAL CONSISTENCY
BIO-LOGGING
MAGNETIC FIELD
MAGNETOMETER
NORMAL OPERATIONAL PLANE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Background: Accelerometers are powerful sensors in many bio-logging devices, and are increasingly allowing researchers to investigate the performance, behaviour, energy expenditure and even state, of free-living animals. Another sensor commonly used in animal-attached loggers is the magnetometer, which has been primarily used in dead-reckoning or inertial measurement tags, but little outside that. We examine the potential of magnetometers for helping elucidate the behaviour of animals in a manner analogous to, but very different from, accelerometers. The particular responses of magnetometers to movement means that there are instances when they can resolve behaviours that are not easily perceived using accelerometers. Methods: We calibrated the tri-axial magnetometer to rotations in each axis of movement and constructed 3-dimensional plots to inspect these stylised movements. Using the tri-axial data of Daily Diary tags, attached to individuals of number of animal species as they perform different behaviours, we used these 3-d plots to develop a framework with which tri-axial magnetometry data can be examined and introduce metrics that should help quantify movement and behaviour.Results: Tri-axial magnetometry data reveal patterns in movement at various scales of rotation that are not always evident in acceleration data. Some of these patterns may be obscure until visualised in 3D space as tri-axial spherical plots (m-spheres). A tag-fitted animal that rotates in heading while adopting a constant body attitude produces a ring of data around the pole of the m-sphere that we define as its Normal Operational Plane (NOP). Data that do not lie on this ring are created by postural rotations of the animal as it pitches and/or rolls. Consequently, stereotyped behaviours appear as specific trajectories on the sphere (m-prints), reflecting conserved sequences of postural changes (and/or angular velocities), which result from the precise relationship between body attitude and heading. This novel approach shows promise for helping researchers to identify and quantify behaviours in terms of animal body posture, including heading. Conclusion: Magnetometer-based techniques and metrics can enhance our capacity to identify and examine animal behaviour, either as a technique used alone, or one that is complementary to tri-axial accelerometry.
Fil: Williams, Hannah J.. Swansea University; Reino Unido
Fil: Holton, Mark D.. Swansea University; Reino Unido
Fil: Shepard, Emily L. C.. Swansea University; Reino Unido
Fil: Largey, Nicola. Swansea University; Reino Unido
Fil: Norman, Brad. Ecocean Inc. (aust.); Australia
Fil: Ryan, Peter G.. University of Cape Town; Sudáfrica
Fil: Duriez, Olivier. Université Paul-Valéry Montpellier; Francia
Fil: Scantlebury, Michael. The Queens University of Belfast; Irlanda
Fil: Quintana, Flavio Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Magowan, Elizabeth A.. The Queens University of Belfast; Irlanda
Fil: Marks, Nikki J.. The Queens University of Belfast; Irlanda
Fil: Alagaili, Abdulaziz N.. King Saud University; Arabia Saudita
Fil: Bennett, Nigel C.. University of Pretoria; Sudáfrica
Fil: Wilson, Rory P.. Swansea University; Reino Unido
description Background: Accelerometers are powerful sensors in many bio-logging devices, and are increasingly allowing researchers to investigate the performance, behaviour, energy expenditure and even state, of free-living animals. Another sensor commonly used in animal-attached loggers is the magnetometer, which has been primarily used in dead-reckoning or inertial measurement tags, but little outside that. We examine the potential of magnetometers for helping elucidate the behaviour of animals in a manner analogous to, but very different from, accelerometers. The particular responses of magnetometers to movement means that there are instances when they can resolve behaviours that are not easily perceived using accelerometers. Methods: We calibrated the tri-axial magnetometer to rotations in each axis of movement and constructed 3-dimensional plots to inspect these stylised movements. Using the tri-axial data of Daily Diary tags, attached to individuals of number of animal species as they perform different behaviours, we used these 3-d plots to develop a framework with which tri-axial magnetometry data can be examined and introduce metrics that should help quantify movement and behaviour.Results: Tri-axial magnetometry data reveal patterns in movement at various scales of rotation that are not always evident in acceleration data. Some of these patterns may be obscure until visualised in 3D space as tri-axial spherical plots (m-spheres). A tag-fitted animal that rotates in heading while adopting a constant body attitude produces a ring of data around the pole of the m-sphere that we define as its Normal Operational Plane (NOP). Data that do not lie on this ring are created by postural rotations of the animal as it pitches and/or rolls. Consequently, stereotyped behaviours appear as specific trajectories on the sphere (m-prints), reflecting conserved sequences of postural changes (and/or angular velocities), which result from the precise relationship between body attitude and heading. This novel approach shows promise for helping researchers to identify and quantify behaviours in terms of animal body posture, including heading. Conclusion: Magnetometer-based techniques and metrics can enhance our capacity to identify and examine animal behaviour, either as a technique used alone, or one that is complementary to tri-axial accelerometry.
publishDate 2017
dc.date.none.fl_str_mv 2017-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/37169
Williams, Hannah J.; Holton, Mark D.; Shepard, Emily L. C.; Largey, Nicola; Norman, Brad; et al.; Identification of animal movement patterns using tri-axial magnetometry; BioMed Central Ltd.; Movement Ecology; 5; 6; 3-2017; 1-14
2051-3933
CONICET Digital
CONICET
url http://hdl.handle.net/11336/37169
identifier_str_mv Williams, Hannah J.; Holton, Mark D.; Shepard, Emily L. C.; Largey, Nicola; Norman, Brad; et al.; Identification of animal movement patterns using tri-axial magnetometry; BioMed Central Ltd.; Movement Ecology; 5; 6; 3-2017; 1-14
2051-3933
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1186/s40462-017-0097-x
info:eu-repo/semantics/altIdentifier/url/https://movementecologyjournal.biomedcentral.com/articles/10.1186/s40462-017-0097-x
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv BioMed Central Ltd.
publisher.none.fl_str_mv BioMed Central Ltd.
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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