Description
The described system consists of four sensors on the legs and one sensor on the rear head, which is used to connect lameness in successive stages. Data from the sensors, equipped with accelerometers and transmitted via Bluetooth to a 200 Hz phone rider, are processed after each training session using neural networks and machine learning. App users on their computer, phone and in individual offices online present graphs of the horse’s gaits during training, average and high leg load, total training time and time spent at different gaits (such as stride, trot and canter). The innovation of the system is that it can detect lameness in its early stages, when it is not yet visible to the human eye, by analysing sensor data using neural networks and alert the rider.
How to put on and connect the sensors
Demonstration of the horse’s training data in a personal account.
The system can also carry out detailed analyses of the horse’s gait, including symmetry and load balancing on each leg, and help to garden and correct any problems that may be causing lameness. In addition, by tracking the horse’s gait over time, the system can help the gardener monitor the horse’s recovery progress and adjust its training accordingly. Overall, the system can be used as a valuable tool for both riders and trainers to improve the health and productivity of their horses.
In addition to the functions mentioned above, the system can also be integrated with other forms of data and analysis, such as veterinary examinations and rugging records, to provide a more complete picture of a horse’s health and behaviour. The system can also be used in other settings such as breeding and research to help improve the overall health and performance of horses.
They can also be used at competitions or shows to help judges and trainers evaluate a horse’s performance and identify any problems that may be observed. Overall, the system can be effective for horse management and horse walking, providing valuable information and helping to improve horse health.