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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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576586/
https://www.ncbi.nlm.nih.gov/pubmed/33082367
http://dx.doi.org/10.1038/s41598-020-73215-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576586/
https://www.ncbi.nlm.nih.gov/pubmed/33082367
http://dx.doi.org/10.1038/s41598-020-73215-9

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