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Detecting Equine Gaits Through Rider-Worn Accelerometers

Automatic horse gait classification offers insights into training intensity, but direct<br>sensor attachment to horses raises concerns about discomfort, behavioral disruption, and<br>entanglement risks. To address this, our study leverages rider-centric accelerometers for<br>movement classification....

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Guardado en:
Autores principales: Jorn Schampheleer, Anniek Eerdekens, Wout Joseph, Luc Martens, Margot Deruyck
Formato: Artigo
Lenguaje:Inglês
Publicado: MDPI AG 2025-04-01
Colección:Animals
Materias:
equines
accelerometer sensor
animal activity recognition
machine learning
convolutional LSTM network
Acceso en línea:https://www.mdpi.com/2076-2615/15/8/1080
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