EquiMoves system

Applications

EquiMoves provides high-end tools that can be used by equine vets, equine trainers and breeders, and stud book associations in several application domains.

The interface is designed to show asymmetries in a variety of ways, ranging from an easy overview to in depth stride by stride information. This is paired with quick and easy comparisons of measurements and a report function, making it cutting edge technology for objective lameness assessment.

EquiMoves empowers equine clinicians, trainers and breeders to monitor and optimize performance.

Who can use EquiMoves

Equine vets

Our asymmetry analysis tool makes lameness exams quick and reliable.

  • Lameness exams
  • Pre-purchase exams
  • Sport horse monitoring

Equine trainers & breeders

Equine trainers are able to monitor objectively the training of horses.

  • Fit to compete
  • Monitoring training (trainers)
  • Selection of horses (breeders)

Stud book associations

During studbook inspections horses are evaluated for the primary traits of movement.

  • Fit to compete
  • Selection of horses
  • Tool in combination with genomic selection
Interested in an EquiMoves system?

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.

Send a request
EquiMoves News

EquiMoves in campaign about social license

In the ‘This is What Horses Do’ campaign, created by the Horse Sector Council in the Netherlands (Dutch translation: Sectorraad Paarden), attention was given to the gait patterns of horses through a lameness exam. For this study, EquiMoves… Read more →

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 →

Research papers

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 →