Exercise training system and method for correcting behavior patterns

The exercise training system uses sensors and AI to provide real-time feedback and personalized plans, addressing the limitations of expert-dependent training by enhancing accessibility and motivation for behavioral pattern correction.

WO2025211520A1PCT designated stage Publication Date: 2025-10-09JAISWORKS INC
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Patent Information

Application Number
PCT/KR2024/016485
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-04-02
Filing Date
2024-10-26
Publication Date
2025-10-09

AI Technical Summary

Technical Problem

Existing exercise training for behavioral pattern correction requires individualized expert guidance, is costly, time-consuming, and lacks real-time personalized feedback, limiting accessibility and effectiveness.

Method used

An exercise training system utilizing sensors, cameras, AI, and machine learning to provide real-time exercise recognition, personalized feedback, and data-driven exercise plans, enabling self-guided training and continuous improvement.

Benefits of technology

Enables efficient, cost-effective, and personalized exercise training anytime, anywhere, promoting healthy behavior patterns and motivation through real-time feedback and gamification.

✦ Generated by Eureka AI based on patent content.

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Abstract

An exercise training system according to the present invention comprises hardware consisting of a sensor and a camera , and detects a user's exercise movements in real time and collects same as data. This data is analyzed through artificial intelligence and machine learning algorithms to provide the user with real-time feedback on the exercise movements. In addition, the collected data is divided into specific sections and classified into behavioral pattern stages, and the user's exercise performance status is evaluated in each pattern stage to provide personalized exercise correction instructions. The exercise training system includes an internal memory and a processor for data storage and processing to perform these functions.
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Description

Exercise training system and method for correcting behavioral patterns

[0001] The present invention relates to an exercise training system and method for correcting behavioral patterns. More specifically, the invention relates to a system that supports, educates, and shares information related to exercise training for the correction of behavioral patterns.

[0002] In the past, exercise training to correct behavioral patterns primarily required individualized instruction from experts or coaches. This approach struggled to meet individual needs, was expensive, and faced constraints on time and location. Furthermore, the lack of real-time feedback and personalized guidance during training hindered effective training.

[0003] Recent advancements in artificial intelligence and machine learning have made real-time exercise recognition and analysis possible. By leveraging these technologies, exercise training systems and methods for behavioral pattern correction have been developed, enabling personalized training and effective feedback. Furthermore, the proliferation of mobile applications and wearable devices has made training convenient, anytime, anywhere.

[0004] Accordingly, the present invention seeks to innovatively improve an individual's exercise training experience by implementing an exercise training system and method for correcting behavioral patterns based on these technological advancements.

[0005] The purpose of the present invention is to solve problems that occur during an individual's exercise training process and to provide a better exercise experience.

[0006] The purpose of the present invention is to enable a user to effectively correct and develop his or her own movement patterns without the individual guidance of a professional or coach.

[0007] The purpose of the present invention is to improve the efficiency of exercise training by providing personalized feedback to users using real-time exercise recognition and analysis technology.

[0008] The purpose of the present invention is to continuously improve an individual's exercise training and to form healthy behavior patterns while saving cost and time.

[0009] The purpose of the present invention is to maintain users' exercise motivation and encourage a healthy lifestyle by providing an innovative exercise correction system.

[0010] As an embodiment of the present invention, an exercise training system is constructed by combining a sensor and a camera that detect and analyze a user's exercise movements in real time.

[0011] As an embodiment of the present invention, a user's movement is automatically recognized and behavioral patterns are analyzed by utilizing artificial intelligence and machine learning algorithms.

[0012] As an embodiment of the present invention, a mobile application shows exercise movements to a user in real time and provides personalized feedback.

[0013] As an embodiment of the present invention, a user's exercise data is collected to create a personalized exercise plan and performance is tracked to promote continuous improvement.

[0014] As an embodiment of the present invention, a user's exercise training process is gamified to induce interest and motivation and support the formation of continuous exercise habits.

[0015] According to an embodiment of the present invention, a user can perform accurate exercise training without the assistance of an expert or coach, and can continuously improve the individual's exercise pattern through effective feedback.

[0016] According to an embodiment of the present invention, by providing a personalized exercise plan, users can exercise efficiently and maintain a healthy lifestyle.

[0017] According to an embodiment of the present invention, users can increase their interest and motivation in exercise and form continuous exercise habits through feedback and motivational functions provided in real time.

[0018] According to an embodiment of the present invention, through the collection and analysis of exercise data, a user can track and improve his / her exercise performance and feel a sense of accomplishment in achieving his / her goals.

[0019] According to an embodiment of the present invention, users can conveniently exercise anytime and anywhere, and maintain healthy lifestyle habits by overcoming constraints of time and place.

[0020] Figure 1 shows an exercise training system and method for correcting behavioral patterns and a block diagram of the method.

[0021] Specific structural or functional descriptions of embodiments according to the concept of the present invention disclosed in this specification are merely illustrative for the purpose of explaining embodiments according to the concept of the present invention, and embodiments according to the concept of the present invention may be implemented in various forms and are not limited to the embodiments described in this specification.

[0022] Embodiments according to the concept of the present invention may have various modifications and take various forms, and thus, embodiments are illustrated in the drawings and described in detail herein. However, this is not intended to limit embodiments according to the concept of the present invention to specific disclosed forms, but rather includes all modifications, equivalents, or alternatives falling within the spirit and technical scope of the present invention.

[0023] The present invention describes an exercise training system and method for correcting behavioral patterns, and a block diagram of the method. In this regard, FIG. 1 illustrates an exercise training system and method for correcting behavioral patterns, and a block diagram of the method.

[0024] Referring to FIG. 1, the exercise training system and method for correcting behavioral patterns according to the present invention and the method include a coaching unit (100), a personal coaching and rehabilitation training unit (200) based on providing a musculoskeletal data analysis solution, and a user unit (300). The coaching unit (100) may include an exercise coach (110) and a medical professional (120). The personal coaching and rehabilitation training unit (200) based on providing a musculoskeletal data analysis solution may include a time series / interval-based step-by-step behavioral pattern analysis unit (210), a pre-correction behavioral posture analysis unit (220), a post-correction behavioral posture analysis unit (230), and a 3D behavioral posture analysis unit (240). The user unit (300) may include an athlete (310) and a patient (320).

[0025] Description of the symbol

[0026] 100: Coaching Department

[0027] 110: Exercise Coach

[0028] 120: Medical workers

[0029] 200: Personal coaching and rehabilitation training department based on musculoskeletal data analysis solutions

[0030] 210: Time series / interval step-by-step behavior pattern analysis department

[0031] 220: Pre-Correction Behavioral Posture Analysis Department

[0032] 230: Post-Correction Behavioral Posture Analysis Department

[0033] 300: User Department

[0034] 310: Athlete

[0035] 320: Patient

[0036] The present invention can be used in various industries, including sports, medical, and healthcare fields.

Claims

1. An exercise training system including hardware for detecting exercise movements, wherein the hardware comprises a sensor and a camera, wherein the sensor and camera detect the user's exercise movements in real time and collect the data, wherein the exercise training system includes an artificial intelligence and machine learning algorithm, wherein the algorithm analyzes the collected data to provide the user with real-time feedback on the exercise movements. In addition, the algorithm divides the collected data into certain sections and classifies them into behavioral pattern stages, and evaluates the user's exercise performance status in each pattern stage to provide personalized exercise correction instructions. The exercise training system includes an internal memory and a processor for data storage and processing to perform these functions.

Citation Information

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