دورية أكاديمية
Pose-gait analysis for cetacean biologging tag data.
العنوان: | Pose-gait analysis for cetacean biologging tag data. |
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المؤلفون: | Zhang D; Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, United States of America., Goodbar K; Dolphin Quest Oahu, Honolulu, HI, United States of America., West N; Dolphin Quest Oahu, Honolulu, HI, United States of America., Lesage V; Fisheries and Oceans Canada, Ottawa, Canada., Parks SE; Department of Biology, Syracuse University, Syracuse, NY, United States of America., Wiley DN; National Oceanic and Atmospheric Agency's (NOAA) Stellwagen Bank National Marine Sanctuary, Scituate, MA, United States of America., Barton K; Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, United States of America., Shorter KA; Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, United States of America. |
المصدر: | PloS one [PLoS One] 2022 Sep 23; Vol. 17 (9), pp. e0261800. Date of Electronic Publication: 2022 Sep 23 (Print Publication: 2022). |
نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. |
اللغة: | English |
بيانات الدورية: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: San Francisco, CA : Public Library of Science |
مواضيع طبية MeSH: | Bottle-Nosed Dolphin* , Gait Analysis*, Animals ; Biomechanical Phenomena ; Gait ; Locomotion ; Reproducibility of Results |
مستخلص: | Biologging tags are a key enabling tool for investigating cetacean behavior and locomotion in their natural habitat. Identifying and then parameterizing gait from movement sensor data is critical for these investigations, but how best to characterize gait from tag data remains an open question. Further, the location and orientation of a tag on an animal in the field are variable and can change multiple times during a deployment. As a result, the relative orientation of the tag with respect to (wrt) the animal must be determined for analysis. Currently, custom scripts that involve species-specific heuristics tend to be used in the literature. These methods require a level of knowledge and experience that can affect the reliability and repeatability of the analysis. Swimming gait is composed of a sequence of body poses that have a specific spatial pattern, and tag-based measurements of this pattern can be utilized to determine the relative orientation of the tag. This work presents an automated data processing pipeline (and software) that takes advantage of these patterns to 1) Identify relative motion between the tag and animal; 2) Estimate the relative orientation of the tag wrt the animal using a data-driven approach; and 3) Calculate gait parameters that are stable and invariant to animal pose. Validation results from bottlenose dolphin tag data show that the average relative orientation error (tag wrt the body) after processing was within 11 degrees in roll, pitch, and yaw directions. The average precision and recall for detecting instances of relative motion in the dolphin data were 0.87 and 0.89, respectively. Tag data from humpback and beluga whales were then used to demonstrate how the gait analysis can be used to enhance tag-based investigations of movement and behavior. The MATLAB source code and data presented in the paper are publicly available (https://github.com/ding-z/cetacean-pose-gait-analysis.git), along with suggested best practices. Competing Interests: The authors have declared that no competing interests exist. |
References: | J Exp Biol. 2016 Jul 15;219(Pt 14):2103-9. (PMID: 27207638) J Exp Biol. 1999 Oct;202(Pt 20):2749-61. (PMID: 10504311) J Exp Biol. 2014 Dec 1;217(Pt 23):4229-36. (PMID: 25324344) Proc Biol Sci. 2004 Nov 7;271(1554):2239-47. (PMID: 15539349) IEEE Int Conf Rehabil Robot. 2011;2011:5975346. (PMID: 22275550) J Acoust Soc Am. 2014 Feb;135(2):953-62. (PMID: 25234903) J Exp Biol. 2005 Jan;208(Pt 2):181-94. (PMID: 15634839) J Exp Biol. 2006 Nov;209(Pt 21):4238-53. (PMID: 17050839) PLoS One. 2018 Jul 12;13(7):e0200287. (PMID: 30001369) Ecol Evol. 2020 Mar 24;10(10):4291-4302. (PMID: 32489597) Mov Ecol. 2015 Sep 21;3(1):31. (PMID: 26392865) Mov Ecol. 2017 Mar 27;5:6. (PMID: 28357113) Ecol Evol. 2020 Jul 06;10(14):7872-7886. (PMID: 32760571) J Anim Ecol. 2006 May;75(3):814-25. (PMID: 16689963) PLoS One. 2021 Aug 30;16(8):e0252010. (PMID: 34460833) PLoS One. 2021 Aug 30;16(8):e0250687. (PMID: 34460858) J Exp Biol. 2004 May;207(Pt 11):1953-67. (PMID: 15107448) Trends Ecol Evol. 2008 Feb;23(2):87-94. (PMID: 18191283) Proc Biol Sci. 2004 Dec 7;271 Suppl 6:S383-6. (PMID: 15801582) J Exp Biol. 2015 May;218(Pt 9):1325-38. (PMID: 25954042) |
تواريخ الأحداث: | Date Created: 20220923 Date Completed: 20220928 Latest Revision: 20220930 |
رمز التحديث: | 20240628 |
مُعرف محوري في PubMed: | PMC9506652 |
DOI: | 10.1371/journal.pone.0261800 |
PMID: | 36149842 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1932-6203 |
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DOI: | 10.1371/journal.pone.0261800 |