Objective movement asymmetry in horses is comparable between markerless technology and sensor-based systems.

ABSTRACT:

Background

A markerless artificial intelligence (AI) system for lameness detection has recently become available but has not been extensively compared with commonly used inertial measurement unit (IMU) systems for detecting asymmetry under field conditions.

Objective

Comparison of classification of asymmetric limbs under field conditions and comparison of normalised asymmetry data using a markerless AI system (SleipAI; recorded on a tripod mounted iPhone 14pro [SL]); the Equinosis Q Lameness Locator (LL); the EquiMoves (EM); and subjective evaluation (SE).

Study design

Descriptive clinical study.

Methods

Straight line trot data were collected from 52 client-owned horses in regular training. Limbs were categorised as symmetric or asymmetric. Number of analysed s

SUBMITTER: Kallerud AS 

PROVIDER: S-EPMC11616950 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature