Motion analysis powered by AI
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The Sleip app uses AI to track over 100 anatomical keypoints on the moving horse, quantifying gait asymmetry and detecting even the smallest irregularities. Use Sleip to get stride-by-stride analysis results in minutes, track progress over time, and detect issues at an early stage.
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Why gait analysis?
Quantitative gait analysis can detect very small asymmetries with high sensitivity. This data, and the documentation that goes with it, backs up your decisions and supports dialogue with clients and colleagues.
We traditionally rely on visual observation to assess a horse's movement. The human eye can only process about 10-15 samples per second, so accurately detecting subtle irregularities in a trotting horse is beyond our physiological capabilities. Research indicates that veterinarians often reach varying conclusions in clinical orthopedic exams, both in identifying the primary lame limb and grading lameness.
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AI computer vision
Sleip’s AI algorithms detect and track key points on the horse's moving body from videos recorded through the app. At the heart of our technology lies innovations in computer vision, a specialised sub-field of artificial intelligence that mimics human visual understanding, but far surpasses our cognitive capabilities.
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Scientific rigour
Based on decades of equine biomechanical research, the gold standard for quantifying gait asymmetries is the measurement of the vertical displacement of the head and pelvis at trot. The Sleip-app measures these asymmetries with a 2 mm precision. The technology has been validated against the multi-camera motion capture system at the Animal Locomotion Laboratory at the Swedish University of Agricultural Sciences.
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What does Sleip measure?
Vertical movement
The computer vision algorithm detects key points on the horse's moving body. It measures the vertical movement of the horse’s head and pelvis.
Asymmetry variables
Based on 30 years of equine biomechanics research, asymmetry variables related to lameness are extracted from the horse's movement.
Data quality
The number of strides used for the analysis, along with variance and recording conditions are parameters that are logged. This provides you with information on the quality of the data and the analysis.
Gait
For each frame of video the gait is classified to ensure that only quality strides in trot are included in the analysis.
Straight line and longeing
Sleip can measure asymmetry in the horse’s movement on a straight line or on the longeing circle. Its versatility and ease of use enable you to perform your analysis anywhere.
Rider detection
Sleip automatically detects if there is a rider on the horse. Keep in mind that the presence of a rider can impact asymmetries.
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To find out more visit www.sleip.com
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