Improving gait classification in horses by using inertial measurement unit (IMU) generated data and machine learning

For centuries humans have been fascinated by the natural beauty of horses in motion and their different gaits. Gait classification (GC) is commonly performed through visual assessment and reliable, automated methods for real-time objective GC in horses are warranted. In this study, we used a full bo...

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Détails bibliographiques
Publié dans:Sci Rep
Auteurs principaux: Serra Bragança, F. M., Broomé, S., Rhodin, M., Björnsdóttir, S., Gunnarsson, V., Voskamp, J. P., Persson-Sjodin, E., Back, W., Lindgren, G., Novoa-Bravo, M., Gmel, A. I., Roepstorff, C., van der Zwaag, B. J., Van Weeren, P. R., Hernlund, E.
Format: Artigo
Langue:Inglês
Publié: Nature Publishing Group UK 2020
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Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7576586/
https://ncbi.nlm.nih.gov/pubmed/33082367
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-73215-9
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