EquiMoves will be presented by Filipe Bragança on 21st of October at 19:00 during the Science of Equine Locomotion Symposium.    The symposium is an online event taking place on 30th of September and 21st of October 2020.               

EquiMoves was used in trials, in january 2020, with Hillary Clayton, Sarah Jane Hobs, Marie Rhodin and Elin Hernlund for research purposes in Florida with high-level dressage horses. The goal of this research is to understand better the gaits and movements of these high-level dressage horses

The following subjects were presented in Lorne, Australia at during The International Conference on Equine Exercise Physiology (12 -16th November 2018):  The use of an artificial neural network to classify gait in Icelandic horses  F.M. Serra Bragança, M. Tijssen, V. Gunnarsson, S. Björnsdóttir, E. Persson-Sjodin, P.R. Van Weeren, J. Voskamp, W. Back and M. Rhodin    The Icelandic horse is a

On 8th of January 2019, the EquiMoves System appeared in the “The horse”” magazine in an article about horse gait analysis.

At Holar University, Iceland, EquiMoves was used for measuring about 30 Icelandic horses. In this study lameness was induced and the horses were measured sound and lame in walk, trot and tolt. The goal of this research is to detect lamenesss in all symmetric gaits

In Avenches, Switzerland, EquiMoves was used by Agroscope and University of Zurich for breeding purposes. About 68 breeding stallions were measured with EquiMoves. The EquiMoves output will be compared to the visual scores of the judges. A genome-wide association analysis using these Franch-Montagne stallions classified with the EquiMoves output parameters will be used to reveal associations between some EquiMoves parameters and nucleotide polymorphisms

The following subject was presented in London, UK, during The International Conference on Canine and Equine Locomotion (17‐19th August 2016): Validation of Distal Limb Mounted Imu Sensors for Stride Detection and Locomotor Quantification in Warmblood Horses at Walk and Trot