Automatic hoof-on and -off detection in horses using hoof-mounted inertial measurement unit sensors.
Authors: Tijssen M, Hernlund E, Rhodin M, Bosch S, Voskamp J P, Nielen M, Serra Braganςa F M
Journal: PloS one
Summary
# Editorial Summary: Hoof-Event Detection Using Inertial Sensors Accurate identification of hoof-on and hoof-off moments forms the foundation of gait analysis, yet traditional force plate methods are impractical for field assessment. Tijssen and colleagues developed two algorithm-based approaches using hoof-mounted inertial measurement units (IMUs)—devices that capture three-dimensional acceleration and angular velocity data—to automatically detect these critical gait events in walk and trot on hard surfaces. Testing seven Warmblood horses with wireless IMUs secured to both right front and hind hooves, the researchers validated their algorithms against force plate measurements and found that angular velocity detection proved most reliable for hoof-on events (accuracy within 2.39–12.22 milliseconds depending on gait and limb), whilst acceleration-based detection excelled at identifying hoof-off events (3.20 ms accuracy with 6.39 ms precision). These findings suggest IMU-based hoof-event detection could become a practical field tool for gait assessment, lameness investigation, and training monitoring, though practitioners should recognise the current validation is limited to hard surfaces and intact hoof conditions, with further research needed across varying terrain, trimming protocols, and potentially pathological gaits before clinical adoption.
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Practical Takeaways
- •IMU-based hoof sensors offer a non-invasive, objective method for detecting hoof-on and hoof-off events that could replace force plates for routine gait assessment
- •Accuracy is sufficient for clinical gait classification (millisecond-level precision), but validation needed on different surfaces and hoof conditions before routine use
- •This technology could enable real-time gait monitoring in field settings for early lameness detection or rehabilitation tracking
Key Findings
- •Angular velocity algorithm achieved hoof-on detection accuracy of 2.39–12.22 ms with 13.80 ms precision across gaits and hooves
- •Acceleration algorithm achieved hoof-off detection accuracy of 3.20 ms with 6.39 ms precision independent of gait and hoof
- •Hoof-mounted IMU sensors reliably detect hoof contact events during walk and trot on hard surfaces