Objective Gait Analysis in Horses: What Sensor Technology Reveals About Breed Movement
Modern technology is changing how we understand horse movement. While riders and judges rely on trained observation, subtle biomechanical differences often fall beyond what the human eye can reliably detect. A newly published European study has taken a data-led approach to this challenge, using wearable sensor technology to examine gait characteristics across three distinct horse breeds.
Using inertial measurement units (IMUs), small motion sensors attached to the horse’s body, researchers analysed the walk and trot of more than 400 horses. This represents one of the largest datasets of its kind to date and marks a significant step forward from earlier studies, which often included fewer than ten horses per breed or relied on less precise measurement tools. The scale of this dataset allowed researchers to quantify movement traits in milliseconds, including suspension time at trot, stride frequency and limb protraction, offering a level of detail previously unavailable in field-based studies.
Moving Beyond Subjective Assessment
Traditional gait evaluation has long depended on visual scoring and breed standards shaped by discipline-specific ideals. While experienced professionals can identify obvious strengths and weaknesses, objective sensor data allows for far finer resolution.
In this study, each breed displayed distinct movement signatures. Rather than ranking one breed as universally superior, the findings highlighted how different traits align with different athletic purposes.
Warmbloods showed longer stride length and greater ground coverage, features typically associated with sport horse performance. Lusitanos demonstrated increased vertical range of motion and forelimb reach, characteristics valued in dressage. Franches-Montagnes horses, often discussed in breeding circles for perceived movement limitations, exhibited faster stride frequency and strong horizontal efficiency, traits well-suited to driving disciplines. Importantly, the Franches-Montagnes horses performed comparably to Warmbloods across several parameters. Their quicker cadence appears to be a natural adaptation linked to their historical role as carriage horses, rather than a biomechanical deficiency.
This challenges long-standing assumptions within some breeding communities, where crossbreeding has been proposed as a way to “improve” movement quality.
Implications for Breeding and Genetic Selection
One of the most forward-looking aspects of the research is its potential application to genetic studies. Objective gait metrics could eventually be linked to DNA markers, allowing breeders to make evidence-based decisions rather than relying solely on visual appraisal.
This mirrors developments already seen in gaited breeds through the DMRT3 gene, sometimes called the “gait keeper”. A mutation in this gene alters spinal cord neurons involved in limb coordination, enabling lateral gaits such as pace or specialised four-beat movements like the tölt in Icelandic horses.
While the current study does not establish genetic causation, it opens the door to future work where measurable movement traits may be correlated with specific genetic profiles, potentially leading to movement-related DNA testing in sport horses.
What Previous Research Tells Us
Wearable IMU technology is already being used in equine science for lameness detection and performance analysis. Multiple studies have shown that sensor systems can identify asymmetries too subtle for consistent visual diagnosis, particularly in early-stage musculoskeletal issues. Other research has demonstrated that surface type, speed, training level and rider influence significantly affect gait parameters. Horses moving on hard ground versus arena footing, or ridden versus in-hand, can show marked differences in stride length, suspension and limb loading.
These findings reinforce the value of objective tools, while also highlighting the importance of controlling environmental variables when interpreting data.
Important Considerations and Limitations
While this study benefits from an impressive sample size and advanced technology, several factors warrant careful interpretation.
The horses were assessed under standardised conditions, but real-world performance is influenced by far more than breed alone. Age, training history, discipline specialisation, rider input and management practices all shape movement patterns over time.
The study also focused exclusively on walk and trot. Canter mechanics, jumping biomechanics and collected movements were not evaluated, yet these are central to many competitive disciplines. Additionally, while objective measurements reveal how horses move, they do not capture rideability, temperament, willingness or trainability, all of which play critical roles in sport success and welfare.
Finally, gait quality is not synonymous with soundness. Supporting research shows that impressive movement can coexist with underlying pathology, reinforcing the need to pair biomechanical data with veterinary assessment rather than treating sensor outputs as standalone indicators of health.
What this means for equestrian sport
This research reflects a broader shift towards evidence-based evaluation in breeding and performance. Objective gait analysis offers powerful insight, but its greatest value lies in complementing, not replacing, skilled horsemanship and clinical judgement.
For breeders, it suggests that discipline-specific movement traits may already exist within established populations, reducing the need for genetic dilution through crossbreeding. For professionals, it highlights how wearable technology could support earlier detection of asymmetries and more informed training decisions. Most importantly, the findings remind us that “quality movement” is not a single universal standard. It is contextual, shaped by purpose, history and physiology.
As equine science continues to integrate sensor technology and genetics, the challenge will be using these tools responsibly, ensuring data enhances welfare and performance rather than narrowing breeding priorities or oversimplifying complex biological systems.
Sources:
Gmel, A.I., Haraldsdóttir, E.H., Rosa, T.V., Lamas, L.P., Neuditschko, M., Weishaupt, M.A.
Upwards or onwards? Assessment of objective gait quality parameters in three European horse breeds at walk and trot.
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