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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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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:Sci Rep
Prif Awduron: 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.
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: Nature Publishing Group UK 2020
Pynciau:
Mynediad Ar-lein: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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