Key features
- The only mobile equine gait analysis system in the world that measures and produces reports in all gaits & all surfaces.
- The only mobile equine gait analysis system in the world that has sensors on the upper body & on the legs.
- It can measure in one measurement all gaits and events.
- It captures movements that might be close to impossible to detect with the naked eye.
- EquiMoves provides the best accuracy and precision on the market.
System overview
Hardware
Wireless inertial sensors for capturing motion data are attached to the legs, the withers, the pelvis and the head of the horse. The sensor data is streamed to a gateway connected to the computer.
Software
The EquiMoves motion processing software computes the relevant parameters and analyzes the horse’s gait for lameness and performance assessment.
Reports
In addition to the in depth analysis, the EquiMoves software offers basic or extended PDF reports for each test.
Applications
Vets
- Lameness exams
- Pre-purchase exams
- Sport horse monitoring
Sports
- Check if horses are fit to compete
- Analyze training progress
- Support of judges based on objective, quantitative equine gait analysis
Breeding
- Support in selection of horses based on desired gait parameters
Request more information
If you are interested in using EquiMoves in your activities please send us a message and we will be happy to give you more information.
Tutorials & media gallery
About us
EquiMoves used in breeding
Friesians In 2010, John Voskamp and Wim Back, nowadays board member of KFPS (Royal Friesian Studbook) initiated research using inertial sensors for the KFPS. These initial trials at Stoeterij Koningsland marked the beginning of EquiMoves’ development for analyzing… Read more →
EquiMoves as a tool to detect lameness – RTV Utrecht
In an ample reportage at RTV Utrecht, the broadcaster of the province of Utrecht, the practice at the veterinary clinic of Utrecht University is presented in detail. Technology is used by both veterinarians and researchers to examine the… Read more →
Using Different Combinations of Body-Mounted IMU Sensors to Estimate Speed of Horses – A Machine Learning Approach
Hamed Darbandi, Filipe Serra Bragança, Berend Jan van der Zwaag, John Voskamp, Annik Imogen Gmel, Eyrún Halla Haraldsdóttir and Paul Havinga Sensors 2021, 21(3), 798; https://doi.org/10.3390/s21030798 Speed is an essential parameter in biomechanical analysis and general locomotion research.… Read more →