Abstract: A method of diagnosing lameness in quadrupeds utilizing computer vision and a computerized depth perception system to scan quadrupeds, such as sport horses, over time. The method enables a detailed analysis of the quadruped's movement, and changes thereof over time without the need for attaching sensors to the body of the horse, or requiring force plates or expensive high speed cameras. A processing system receives the input of this movement data and utilizes it to make a determination of severity of lameness signals of the animal. The system is inexpensive enough that non-specialists, such as non-veterinary trained quadruped owners, may install the system at an appropriate location such as a horse barn enabling identification of lameness early, to aid in objectively analyzing rehabilitation from injury, and relating changes in gait to performance changes.

Abstract: A system that utilizes computerized depth perception to automatically scan physical objects, e.g. a quadruped such as a sport horse, over time thereby enabling a detailed analysis of its movement, and changes thereof over time, without the need for attaching sensors to the body of the horse, or requiring a force plate or high speed expensive cameras is disclosed herein. The system is inexpensive enough that non-specialists, e.g. non-veterinary trained quadruped owners, may install the system at an appropriate location such as a horse barn rather than requiring horses to be transported to a specialist for diagnosis.