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  • Hernlund, ElinSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för anatomi, fysiologi och biokemi,Department of Anatomy, Physiology and Biochemistry (AFB) (author)

Automatic hoof-on and -off detection in horses using hoof-mounted inertial measurement unit sensors

  • Article/chapterEnglish2020

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  • Public Library of Science (PLoS),2020
  • Public Library of Science,2024

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  • LIBRIS-ID:oai:slubar.slu.se:106729
  • https://res.slu.se/id/publ/106729URI
  • https://doi.org/10.1371/journal.pone.0233266.r004DOI

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  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

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  • For gait classification, hoof-on and hoof-off events are fundamental locomotion characteristics of interest. These events can be measured with inertial measurement units (IMUs) which measure the acceleration and angular velocity in three directions. The aim of this study was to present two algorithms for automatic detection of hoof-events from the acceleration and angular velocity signals measured by hoof-mounted IMUs in walk and trot on a hard surface. Seven Warmblood horses were equipped with two wireless IMUs, which were attached to the lateral wall of the right front (RF) and hind (RH) hooves. Horses were walked and trotted on a lead over a force plate for internal validation. The agreement between the algorithms for the acceleration and angular velocity signals with the force plate was evaluated by Bland Altman analysis and linear mixed model analysis. These analyses were performed for both hoof-on and hoof-off detection and for both algorithms separately. For the hoof-on detection, the angular velocity algorithm was the most accurate with an accuracy between 2.39 and 12.22 ms and a precision of around 13.80 ms, depending on gait and hoof. For hoof-off detection, the acceleration algorithm was the most accurate with an accuracy of 3.20 ms and precision of 6.39 ms, independent of gait and hoof. These algorithms look highly promising for gait classification purposes although the applicability of these algorithms should be investigated under different circumstances, such as different surfaces and different hoof trimming conditions.

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  • Rhodin, MarieSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för anatomi, fysiologi och biokemi,Department of Anatomy, Physiology and Biochemistry (AFB)(Swepub:slu)47433 (author)
  • Sveriges lantbruksuniversitetInstitutionen för anatomi, fysiologi och biokemi (creator_code:org_t)
  • Sveriges lantbruksuniversitet

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  • In:PLoS ONE: Public Library of Science (PLoS)151932-6203

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By the author/editor
Hernlund, Elin
Rhodin, Marie
About the subject
AGRICULTURAL SCIENCES
AGRICULTURAL SCI ...
and Veterinary Scien ...
and Medical Bioscien ...
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PLoS ONE
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Swedish University of Agricultural Sciences

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