Computer-aided training modeling with software and hardware integration of equipment (pessoa) used in the training of sports horses

Abstract

The invention is a sports technology product designed to enhance the muscle development and training efficiency of sports horses. By integrating mobile / web software and embedded system hardware advancements with AI-supported techniques (machine learning, deep learning, fuzzy logic, artificial neural networks, etc.), it aims to correctly train and develop the muscles of horses by collecting data from sensors (EMG+IMU, EKG, GSR, etc.) integrated with horse training equipment (like lunging). The invention particularly analyzes the data obtained from sensors (pulse, GSR, speed, etc.) using suitable AI algorithms to differentiate muscle / nerve activities, and provides real-time graphical representation of the data through virtual mapping techniques during the horse's lunging exercises.

Description

[0001] COMPUTER-AIDED TRAINING MODELING WITH SOFTWARE AND HARDWARE INTEGRATION OF EQUIPMENT (PESSOA) USED IN THE TRAINING OF SPORT HORSES

[0002] TECHNICAL FIELD

[0003] The invention is a sports technology product designed to enhance muscle development and training efficiency in sport horses. By creating models using artificial intelligence techniques (machine learning, deep learning, fuzzy logic, and artificial neural networks, etc.), it integrates sensor (EMG+IMU, ECG, GSR, etc.) data with horse training equipment to properly train and develop the muscles of horses in training (such as longeing).

[0004] Specifically, it provides real-time graphical data representation through virtual mapping techniques during the longeing training of horses, using sensors to collect data on muscle / nerve activity, which is analyzed by appropriate Al algorithms. The Al-supported integration of software and hardware with the equipment used in training sport horses (Pessoa) allows visualization and user guidance through mobile devices (smartphones, tablets, etc.).

[0005] PRIOR ART

[0006] In some foreign countries (Europe, Japan, China), new approaches are being tried, but in our country, traditional equestrian methods are still used. There is an existing invention with the publication number WO2022232341A1 , which is used to detect walking and anomalies. EMG is a technique that measures the electrical activity from muscles and is used in various applications focused on muscle movements. Delsys provides a range of products and solutions in this field for researchers, clinical experts, and industry professionals. The product range of Delsys generally includes: i. Trigno Electrodes: Wireless EMG (surface EMG) sensors and electrodes that allow users to measure and record muscle activity. ii. Trigno Avanti Systems: High-resolution, wireless EMG systems designed for researchers and healthcare professionals. iii. sEMG Sensors: Surface EMG sensors used to monitor and analyze muscle activity in various applications. iv. Mobility Lab Systems: Systems designed for movement analysis and biomechanical measurements. v. Myomonitor III: A device used to capture EMG signals. Delsys products are commonly used in sports sciences, rehabilitation, and biomechanical research.

[0007] In Turkey, with around 15,000 sport horses, traditional control methods (hand, eye, etc.) provide subjective results depending on the expertise and employment of examination specialists. Pessoa, invented by American show jumper Nelson Pessoa, is used to work the horse in a circle, particularly important for initial training and exercises in longeing, to help develop the horse's muscles by working in the correct position and using the back muscles. There is no sensor integration and Al technology in our country or in international equestrianism that can detect if the correct muscles are being worked while using Pessoa.

[0008] Horse training is done in two ways: with a rider or through longeing, where the horse is moved and trained using a 7-8 meter long rein in a circle. The Pessoa Lungeing System helps bring the horse into a better position to aid muscle development, particularly increasing the use of back and rear leg muscles. The system traditionally relies on subjective methods to ensure the correct muscles are worked. Our system integrates a mobile system to detect if the correct muscles are being worked and allows for adjustments in training methods if necessary, ensuring more efficient and pain-free training and competition.

[0009] Traditional equestrian examination methods in sports practices lead to various deficiencies and inadequacies. Focusing on the problems these methods face and the disadvantages of existing solutions, it should be noted that the use of medical devices is limited. These devices, suitable for general animal anatomy, are used only in expensive treatment scenarios, thus merely illuminating the process. Apart from this, traditional examination methods, such as observation, gait analysis (walking analysis), palpation (examination by feeling the tissue by the practitioner through touch or pressure), chest and abdominal examination, heart and respiratory examination, eye and ear examination, dental examination, and fecal examination, can be subjective. For example, a veterinarian's interpretation of the horse's general behavior or determination of pain points by hand can rely on personal judgment and experience. This can reduce the consistency of examination results and lead to incorrect diagnoses. Furthermore, traditional examination methods do not have the capacity to collect detailed and continuous data on the horse's health condition. The data obtained from a single examination instance may be insufficient to detect the horse's Daily activities, long-term changes, or emerging health problems. This can make early diagnosis of potential health issues difficult. Another disadvantage of traditional examination methods is that they may have low sensitivity in detecting specific conditions. These deficiencies highlight the modem and sensor-based horse health monitoring system offered by the invention as an alternative to traditional examination methods. The new technology can continuously monitor the horse's health condition, analyze the data, and provide a more comprehensive perspective to the person with the invention and healthcare personnel (veterinarian, trainer, groom, etc.), enabling early intervention and more effective opportunities.

[0010] DESCRIPTION OF THE INVENTION

[0011] The invention offers a range of advantages in equestrian applications, providing a qualified working environment for personnel. These advantages are as follows:

[0012] □ EMG and Rational Data Sequencing: The invention can measure muscle activity in horses more precisely thanks to EMG sensors and rational data sequencing, allowing for more specific and effective training programs.

[0013] □ Device Improvement: The developed device can continuously monitor the physiological parameters of horses, enabling the tracking of their health status and early intervention.

[0014] □ Pulse and Body Temperature Relationship*: The invention can analyze the relationship between the pulse and body temperature of horses in more detail, creating special training programs to optimize their performance.

[0015] □ Correct Horse Training Methods: For inexperienced trainers, the invention helps learn and apply correct horse training methods, thus protecting horse health and enhancing performance.

[0016] □ Software Performance: The Al software used effectively processes the performance data of horses, continuously improving the training programs. □ User-Friendly Interface*: The user-friendly interface of the invention allows trainers and personnel to easily access and interpret data.

[0017] □ Data Analysis and Interpretation: Detailed data analysis helps equestrian trainers make more informed and strategic decisions.

[0018] □ Error Management and Debugging: The invention increases system reliability with error management and debugging capabilities.

[0019] □ Compatibility and Integration: The invention can easily integrate with existing systems in equestrian applications, working compatibly with other applications in the sector.

[0020] As a result, the invention not only preserves the muscle and bone health of horses but also improves their performance by integrating with training methods and supports inexperienced trainers in using the system consciously.

[0021] Description of Figures

[0022] Figure 1: Working principle of the invention

[0023] Figure 2: Working principle of the Pessoa device

[0024] Reference List

[0025] 1 . Application Live (Pessoa Longe)

[0026] 1.1. EMG+IMU Sensor

[0027] 1 .2. ECG Sensor

[0028] 1.3. Speed and Distance Sensor

[0029] 1 .4. GSR Sensor

[0030] 2. Registered User

[0031] 3. Expert Physicians

[0032] 4. Evaluation

[0033] 4.1 . ECG Evaluation

[0034] 4.2. EGM+IMU Evaluation

[0035] 4.3. GSR Evaluation

[0036] 5. Measurement Application

[0037] 5.1. ECG Measurement Sensor

[0038] 5.2. EGM+IMU Measurement Sensor

[0039] 5.3. GSR Measurement Sensor 5.4. Speed and Distance Measurement

[0040] 6. Microcontrollers

[0041] 6.1 . Artificial Intelligence

[0042] 7. Controller

[0043] 7.1 . Data Extraction

[0044] 7.2. Analysis Correlation

[0045] 8. Database and Server

[0046] 9. Application Access Areas

[0047] 9.1 . Automation

[0048] 9.2. Web

[0049] 9.3. Mobile Pessoa Longe

[0050] DETAILED DESCRIPTION OF THE INVENTION

[0051] In this detailed description, the integration of software and hardware with the equipment (Pessoa) used in the training of sport horses and computer-aided training modeling are explained as preferred alternatives, solely for a better understanding of the subject and without any limiting effect.

[0052] According to Figure 1 , the system is a combination that allows live tracking of development through application access areas by integrating the data obtained from evaluation, measurements, and expert evaluations using Al-supported techniques (machine learning, deep learning, fuzzy logic, artificial neural networks, etc.). The obtained data ensures data security and the development of artificial intelligence. These modules define in detail the function of each component in the system and their relationship with each other.

[0053] Thus, the method includes:

[0054] 1. Evaluation (5) (EGM+IMU, ECG, GSR, Speed Sensors): Measures the physiological condition of the horse; electromyography (EMG) measures muscle activity, electrocardiography (ECG) measures heart rate, galvanic skin response (GSR) measures stress levels, and the speed sensor measures the horse's speed. This combination of sensors provides a comprehensive view of the horse's health and performance. 2. Microcontrollers: Process data from sensors using Al-supported techniques and communicate with appropriate interfaces. They receive data from sensors, process it, and transmit it to databases or other systems.

[0055] 3. Database and Data Repository: Store the received data and make it available for use when needed. They store processed data from microcontrollers and can be retrieved for user interfaces or analysis purposes.

[0056] 4. Interface Programs (9): Allow the user (2) to control the application live (1 ) from the desired system and access the data. Present the data from microcontrollers meaningfully using Al-supported techniques and make decisions based on these directions.

[0057] 5. Expert Physicians (3) (veterinarian, trainer, physiotherapist, etc.): Have access to professional evaluations regarding the horse's health condition and performance. They analyze the data and customize the horse's training program according to the needs of veterinarians or physiotherapists. Thus, these components come together to form a comprehensive system that monitors and optimizes the training processes of horses.

[0058] According to Figure 2, the system is applied to the horse during training with the Pessoa longe device. The integrated sensors on it direct data to the system.

[0059] Thus, the method includes:

[0060] 1 . Pessoa Longe: Used during training with the horse and rider working together on a 7-8 meter long strap, making specific technical movements on a circular track. This helps to create a training regimen for muscle and horse health.

[0061] 1.1. Sensors on the Pessoa longe (EGM+IMU, ECG, GSR, Speed Sensors): Measure the physiological condition of the horse; EMG measures muscle activity, ECG measures heart rate, GSR measures stress levels, and the speed sensor measures the horse's speed. This combination of sensors provides a comprehensive view of the horse's health and performance.

Claims

CLAIMS1. The invention is a system that integrates software and hardware of equipment (Pessoa) used in the training of sports horses, following the development of the entity, and is characterized by: The Application Entity (1 ) for the Registered User (2) receiving the service, Expert Doctors, pysiotherapists, and rehabilitation specialists (3), evaluation data (4), measurements (5), and database derivations created by the Microcontrollers (6) using Al-supported techniques (machine learning, deep learning, fuzzy logic, artificial neural networks, etc.), to monitor realtime development by the Controller (7) using the Application Access Areas (9);Electromyography (EMG) (5.1 ) measures muscle activity, Electrocardiography (EKG) (5.2) measures heart rate, Galvanic Skin Response (GSR) (5.3) measures stress levels, and the speed sensor (5.4) measures the speed of the horse. The combination of these sensors provides a comprehensive view of the horse's health and performance, taking all measurements through the sensors,- Microcontrollers (6) process data received from sensors using Al-supported techniques (machine learning, deep learning, fuzzy logic, artificial neural networks, etc.), communicate with appropriate interfaces, receive data from sensors, process it, and transmit it to the database or other systems,- A database and data storage (8) that stores the processed data from microcontrollers, makes it available when needed, and can be retrieved for user interface or analysis purposes.- Interface programs (9) that allow the user (2) to control the application entity (1 ) through their desired system and access the data, presenting the data from microcontrollers meaningfully using Al-supported techniques (machine learning, deep learning, fuzzy logic, artificial neural networks, etc.).

2. The invention, according to claim 1 , is characterized by the Pessoa longeing device to be applied during training on the horse, containing an Electromyography (EMG) + IMU sensor (1.1 ) for measuring muscle activities, an Electrocardiography (EKG) sensor (1 .2) for measuring heart rate, a Speed and distance sensor (1 .3) for measuring speed, and a Galvanic Skin Response (GSR) sensor (1 .4) for measuring stress levels.

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