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HorseCare DR

Horsecare

Horsecare

HorseCare DR

by LOT LLC
HorseCare DR
HorseCare DR
HorseCare DR

What is it about?

Horsecare.si knows everything about the horse's leg movements! Artificial intelligence processes hundreds of thousands of horse movements, receives the information, analyses it and interprets it into an understandable format.

HorseCare DR

App Details

Version
1.12
Rating
NA
Size
19Mb
Genre
Sports Health & Fitness
Last updated
April 20, 2024
Release date
January 12, 2024
More info

App Screenshots

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App Store Description

Horsecare.si knows everything about the horse's leg movements! Artificial intelligence processes hundreds of thousands of horse movements, receives the information, analyses it and interprets it into an understandable format.

The data we can provide: the duration of training, the ratio of gaits in training, the horse's jerk power in a jump, the force of the landing. The application allows you to track the horse's movement and if a small deviation is noticed, the app signals to the horse owner about the changes in the trajectory of the legs.

Developed horsecare.si sensors can help to prevent serious musculoskeletal disorders in the horse. It consists of four sensors which are attached to the horse's legs and one sensor which is attached to the horse's back. An application is needed to receive data from the sensors attached to the horse.
We are ready to communicate, ready to discuss and answer questions. We want our project to bring as much benefit as possible to those who are passionate about equestrian sport and care about their horses.

The app is available:
On the main screen there is a mnemonic diagram of the horse from above with sensors located on its legs and back. On each sensor, by tapping on it, the additional screen displays technological information such as:
- Sensor communication status
- Sensor data errors
- Sensor battery level

As long as there are no problems with the horse's skeletal system the application shows all sensors in green, that the horse is ok.

For each sensor, if the system detects a musculoskeletal problem on the horse, the problem is reported in red and the user is advised to take appropriate action to correct the problem.

A graph showing the horse's current gait (gait), rhythm, total training time, time the horse has spent in each gait in a given training session, average and maximum leg loads and also a graph and diagram that show the change in training parameters over time.

The app can also provide a detailed analysis of the horse's gait, including symmetry and load balance on each leg, and help the rider identify and correct any problems that may be contributing to the lameness. In addition, by tracking the horse's gait over time, the equipment can help the rider monitor the horse's recovery progress and adjust their training accordingly. Overall, the app can be used as a valuable tool for both riders and trainers to help improve the health and performance of their horses.

In addition to the features mentioned above, the app can also potentially be integrated with other forms of data and analysis, such as veterinary examinations and horseshoeing records, to provide a more comprehensive view of a horse's health and wellbeing. The application could also potentially be used in other settings, such as breeding and research, to help improve the overall health and performance of the horse population.

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