We describe and analyze a dataset that comprises horse movement. Data was collected during a forelimb and hindlimb lameness induction study. Forelimb and Hindlimb lameness were induced on separate days and a baseline measurement (no induction) was conducted before each induction. The dataset comprises 85 individual datasets, where 39 belong to the forelimb lameness part (n = 10 horses, where for each horse the following datasets are present: baseline in hand (n=10), baseline ridden (n=10), induction in hand (n=9) and induction ridden (n=10)) and 46 belong to the hindlimb lameness part (n = 12 horses, where for each horse the following datasets are present: baseline in hand (n = 12), baseline ridden (n = 12), induction in hand (n = 11), induction ridden (n = 11)). Fifteen sensor devices were attached to the horse and one on the rider, the locations of which can be found in the readme file. The devices, among others, contained a 3-axis accelerometer, gyroscope, and magnetometer that were sampled at 500 Hz. To demonstrate how this dataset can be used, we evaluated the kinematic adaptations to forelimb and hindlimb lameness during in hand and ridden walk, trot and tölt.

Matlab, 2022b