End-to-End Horse Gait Classification in Uncontrolled Environments Using Inertial Sensors

End-to-End Horse Gait Classification in Uncontrolled Environments Using Inertial Sensors

Locomotor injuries in horses are a major cause of underperformance and serious welfare issue. Veterinarians typically investigate horses’ lameness through visual examination at separate gaits (walk, trot, gallop). To evaluate lameness objectively, Inertial Measurement Units (IMU) based sy...

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Bibliographic Details
Main Authors: Mahaut Gerard, Sandrine Hanne-Poujade, Guillaume Dubois, Henry Chateau, Neila Mezghani
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep learning
gait classification
horse
training sample size
transfer learning
Online Access:https://ieeexplore.ieee.org/document/10976645/
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