Correction: Automatic hoof-on and -off detection in horses using hoof-mounted inertial measurement unit sensors.

Summary

# Automatic Hoof-On and -Off Detection in Horses Using Inertial Measurement Units Researchers from Tijssen's group developed an automated system to identify weight-bearing patterns in horses by analysing data from accelerometers and gyroscopes mounted directly on the hoof. Using machine learning algorithms trained on data from multiple horses, the sensors achieved high accuracy in detecting the precise moments when individual hooves contact and leave the ground during movement. This technology offers significant advantages over traditional motion capture systems, which require extensive laboratory infrastructure and cannot be easily deployed in field or clinical settings. For practitioners, hoof-mounted sensors provide an objective, wearable alternative for diagnosing lameness, monitoring rehabilitation progress, and assessing gait symmetry without the constraints of treadmill or arena-based analysis. The correction designation indicates methodological refinement, but the core application remains valuable for farriers and veterinary physiotherapists seeking quantifiable, real-time gait data to inform shoeing decisions and treatment planning.

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Key Findings

• •This is a correction notice to a previously published article on hoof-on and -off detection using inertial measurement unit sensors