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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/37169
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oai:ri.conicet.gov.ar:11336/37169 |
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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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1844613134685306880 |
score |
13.070432 |