5 minutes with Christoffer Roepstorff, PhD, Biomechanical Researcher
We’re a team of passionate horse enthusiasts and tech innovators, and we’d love to introduce you to some of the brilliant minds behind our work.
For equine veterinarians, a precise lameness exam is crucial for accurate diagnosis and treatment planning. Traditionally, these exams relied heavily on subjective visual observations. However, technological advancements have introduced objective gait analysis systems that provide valuable data for a more comprehensive evaluation. This blog post will compare three leading options: 3D Optical Motion Capture (MoCap) systems, Inertial Measurement Unit (IMU) sensors, and Sleip’s computer vision system.
The journey towards objective gait analysis began with MoCap systems. Pioneered by companies like Qualisys, these systems utilise multiple high-speed cameras strategically placed around an enclosed arena. Reflective markers are attached to specific points on the horse's body. The cameras track the markers' movement in 3D space, generating detailed kinematic data about joint angles, limb movement, and overall symmetry during gait. MoCap offers the highest level of accuracy and is considered the gold standard for gait analysis research. Many of the pioneering biomechanical studies were performed with MoCap.
MoCap systems, while powerful, come with some limitations. The dependence on a calibrated volume may pose restrictions in certain clinical settings. Additionally, the high cost, complex setup, and need for specialised personnel can effectively hinder many veterinary practices. This paved the way for IMU sensors.
These small, wireless devices are attached directly to the horse's body. IMUs contain accelerometers, gyroscopes, and magnetometers that measure acceleration, orientation, and magnetic fields. This data measures upper-body movement (head, withers, pelvis), and some systems estimate joint angles and limb movement. IMU sensors offer a more portable and cost-effective solution than MoCap.
The Sleip app takes objective gait analysis further by utilising a readily available device - the smartphone. By recording a high-quality video of the horse in motion, Sleip employs computer vision algorithms to track the movement of specific body key points and further analyse gait parameters. This eliminates the need for specialised equipment for horse attachments and setups.
Here's how Sleip compares to MoCap and IMU systems:
Pros of Sleip:
Cons of Sleip:
When it comes to equine gait analysis, the ideal system depends on your specific clinical requirements.
MoCap remains the gold standard for research and clinical applications due to its unparalleled accuracy. However, its high cost, limited portability, and cumbersome setup make it less practical for routine use in most veterinary practices. IMU sensors are more affordable and offer portability. They are a good option for field use, but just as with the MoCap markers, careful placement of sensors is crucial, and some systems require calibration for reliable data.
Accessibility is a limitation of both these systems, as the hardware can only be used by one vet at a time. By contrast, Sleip allows multiple users, meaning vets at a clinic using Sleip can work with gait analysis simultaneously. They can also share and access data remotely it making it easier to consult with colleagues.
The Sleip app stands out for user-friendliness and accessibility. Using the smartphone camera as an input tool makes it easy for veterinarians seeking to integrate objective data into their lameness exams.
Ultimately, the best system is the one that seamlessly integrates into your workflow and provides the information necessary to deliver the best possible care to your equine patients.
Looking Ahead: The field of equine gait analysis is constantly evolving. Future iterations of the Sleip application and similar technologies will likely incorporate new parameters, such as withers movement and even 3D mapping, to provide an even more comprehensive picture.
Name | MoCap | IMU | Sleip |
Ease of use | Complex setup, stationary system | Requires sensor placement and, on occasion, calibration | Simple, uses the iPhone camera |
Cost | €€€€ | €€ | € |
Accuracy | Highest, gold standard, used for research | Good | Good, validated against MoCap, precision of 2 mm |
Physical hardware | Multiple cameras, reflective markers, and computers to run software | Sensors and laptop to run software | iPhone, tripod is recommended |
Training | Required for setup and operation | May require training for optimal placement | Not required |
Synchronised video | Possible integration with external hardware | No synchronised video | Tracking video with synchronised data for every analysis |
Remote analysis | No, requires the horse to be brought to the clinic | Analysis possible in the field, requires physical visit | Yes, horse owners can be invited to the app to record, analysis results are uploaded to the vet |
Maintenance | System calibration | Charging sensors and laptop | Charging phone |
We’re a team of passionate horse enthusiasts and tech innovators, and we’d love to introduce you to some of the brilliant minds behind our work.
How can some horses sprint at 60 kph or soar over high fences? In this blog Dr. Hilary Clayton unpacks the science behind Ground Reaction Forces (GRFs) and equine motion.
Get inspiration on how to integrate objective gait analysis into daily practice. Joop Loomans, DVM, PhD, MBA explores how to unlock new revenue opportunities.