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The running kinematics of free-roaming giraffes, measured using a low cost unmanned aerial vehicle (UAV)
The study of animal locomotion can be logistically challenging, especially in the case of large or unhandleable animals in uncontrolled environments. Here we demonstrate the utility of a low cost unmanned aerial vehicle (UAV) in measuring two-dimensional running kinematics from free-roaming giraffes...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376938/ https://www.ncbi.nlm.nih.gov/pubmed/30775166 http://dx.doi.org/10.7717/peerj.6312 |
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author | Basu, Christopher K. Deacon, Francois Hutchinson, John R. Wilson, Alan M. |
author_facet | Basu, Christopher K. Deacon, Francois Hutchinson, John R. Wilson, Alan M. |
author_sort | Basu, Christopher K. |
collection | PubMed |
description | The study of animal locomotion can be logistically challenging, especially in the case of large or unhandleable animals in uncontrolled environments. Here we demonstrate the utility of a low cost unmanned aerial vehicle (UAV) in measuring two-dimensional running kinematics from free-roaming giraffes (Giraffa camelopardalis giraffa) in the Free State Province, South Africa. We collected 120 Hz video of running giraffes, and calibrated each video frame using metatarsal length as a constant object of scale. We tested a number of methods to measure metatarsal length. The method with the least variation used close range photography and a trigonometric equation to spatially calibrate the still image, and derive metatarsal length. In the absence of this option, a spatially calibrated surface model of the study terrain was used to estimate topographical dimensions in video footage of interest. Data for the terrain models were collected using the same equipment, during the same study period. We subsequently validated the accuracy of the UAV method by comparing similar speed measurements of a human subject running on a treadmill, with treadmill speed. At 8 m focal distance we observed an error of 8% between the two measures of speed. This error was greater at a shorter focal distance, and when the subject was not in the central field of view. We recommend that future users maximise the camera focal distance, and keep the subject in the central field of view. The studied giraffes used a grounded rotary gallop with a speed range of 3.4–6.9 ms(−1) (never cantering, trotting or pacing), and lower duty factors when compared with other cursorial quadrupeds. As this pattern might result in adverse increases in peak vertical limb forces with speed, it was notable to find that contralateral limbs became more in-phase with speed. Considering the latter pattern and the modest maximal speed of giraffes, we speculate that tissue safety factors are maintained within tolerable bounds this way. Furthermore, the angular kinematics of the neck were frequently isolated from the pitching of the body during running; this may be a result of the large mass of the head and neck. Further field experiments and biomechanical models are needed to robustly test these speculations. |
format | Online Article Text |
id | pubmed-6376938 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63769382019-02-15 The running kinematics of free-roaming giraffes, measured using a low cost unmanned aerial vehicle (UAV) Basu, Christopher K. Deacon, Francois Hutchinson, John R. Wilson, Alan M. PeerJ Biophysics The study of animal locomotion can be logistically challenging, especially in the case of large or unhandleable animals in uncontrolled environments. Here we demonstrate the utility of a low cost unmanned aerial vehicle (UAV) in measuring two-dimensional running kinematics from free-roaming giraffes (Giraffa camelopardalis giraffa) in the Free State Province, South Africa. We collected 120 Hz video of running giraffes, and calibrated each video frame using metatarsal length as a constant object of scale. We tested a number of methods to measure metatarsal length. The method with the least variation used close range photography and a trigonometric equation to spatially calibrate the still image, and derive metatarsal length. In the absence of this option, a spatially calibrated surface model of the study terrain was used to estimate topographical dimensions in video footage of interest. Data for the terrain models were collected using the same equipment, during the same study period. We subsequently validated the accuracy of the UAV method by comparing similar speed measurements of a human subject running on a treadmill, with treadmill speed. At 8 m focal distance we observed an error of 8% between the two measures of speed. This error was greater at a shorter focal distance, and when the subject was not in the central field of view. We recommend that future users maximise the camera focal distance, and keep the subject in the central field of view. The studied giraffes used a grounded rotary gallop with a speed range of 3.4–6.9 ms(−1) (never cantering, trotting or pacing), and lower duty factors when compared with other cursorial quadrupeds. As this pattern might result in adverse increases in peak vertical limb forces with speed, it was notable to find that contralateral limbs became more in-phase with speed. Considering the latter pattern and the modest maximal speed of giraffes, we speculate that tissue safety factors are maintained within tolerable bounds this way. Furthermore, the angular kinematics of the neck were frequently isolated from the pitching of the body during running; this may be a result of the large mass of the head and neck. Further field experiments and biomechanical models are needed to robustly test these speculations. PeerJ Inc. 2019-02-12 /pmc/articles/PMC6376938/ /pubmed/30775166 http://dx.doi.org/10.7717/peerj.6312 Text en ©2019 Basu et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Biophysics Basu, Christopher K. Deacon, Francois Hutchinson, John R. Wilson, Alan M. The running kinematics of free-roaming giraffes, measured using a low cost unmanned aerial vehicle (UAV) |
title | The running kinematics of free-roaming giraffes, measured using a low cost unmanned aerial vehicle (UAV) |
title_full | The running kinematics of free-roaming giraffes, measured using a low cost unmanned aerial vehicle (UAV) |
title_fullStr | The running kinematics of free-roaming giraffes, measured using a low cost unmanned aerial vehicle (UAV) |
title_full_unstemmed | The running kinematics of free-roaming giraffes, measured using a low cost unmanned aerial vehicle (UAV) |
title_short | The running kinematics of free-roaming giraffes, measured using a low cost unmanned aerial vehicle (UAV) |
title_sort | running kinematics of free-roaming giraffes, measured using a low cost unmanned aerial vehicle (uav) |
topic | Biophysics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376938/ https://www.ncbi.nlm.nih.gov/pubmed/30775166 http://dx.doi.org/10.7717/peerj.6312 |
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