Limb flexibility training method and device

Abstract

The invention provides a limb flexibility training method and device.The limb flexibility training method comprises the following steps that at least four energy buttons are fixed to limbs of a user respectively, and position information is collected and transmitted in real time; receiving and processing the position information, and calculating the motion trail of the four limbs to obtain a calculation result; according to the calculation result, evaluating the flexibility level of the user to obtain an evaluation result; and generating and feeding back personalized training suggestions in real time according to the evaluation result. According to the technical scheme, the flexibility of the four limbs is accurately monitored and evaluated, and a personalized training scheme is provided.

Description

Background Art

[0002] Flexibility is an important part of human motor quality and health. Traditional flexibility training methods usually rely on the subjective experience guidance of coaches, lacking objective and accurate data support and real-time feedback. In recent years, with the development of wearable devices, some intelligent devices have been introduced into flexibility training, but these devices often have single functions and cannot comprehensively monitor and evaluate the flexibility of the limbs. Summary of the Invention

[0003] This application provides a method and device for limb flexibility training to achieve accurate monitoring and evaluation of limb flexibility and provide personalized training programs.

[0004] In the first aspect, a method for limb flexibility training is provided, including the following steps:

[0005] Fix at least four energy buttons on the limbs of the user respectively, and collect and transmit position information in real time;

[0006] Receive and process the position information, calculate the movement trajectories of the limbs, and obtain a calculation result;

[0007] Evaluate the flexibility level of the user according to the calculation result to obtain an evaluation result;

[0008] Generate personalized training suggestions in real-time feedback according to the evaluation result.

[0009] In the above technical solution, by fixing at least four energy buttons on the limbs of the user respectively, collecting and transmitting position information in real time; receiving and processing the position information, calculating the movement trajectories of the limbs, and obtaining a calculation result; evaluating the flexibility level of the user according to the calculation result to obtain an evaluation result; generating personalized training suggestions in real-time feedback according to the evaluation result; accurate monitoring and evaluation of limb flexibility are achieved, and a personalized training program is provided.

[0010] In a specific feasible implementation, it further includes: recording the data of each training and generating a historical training report.

[0011] In a specific feasible implementation, the energy button includes a position sensor and a wireless communication module, which are respectively used for collecting and transmitting the position information.

[0012] In a specific feasible implementation, the position information includes the real-time positions of the limbs, angle changes, and speeds.

[0013] In a specific feasible implementation, a flexibility evaluation model is adopted to quantitatively analyze and evaluate the flexibility level of the user.

[0014] In a specific feasible implementation, the real-time feedback information includes whether the movement is in place and whether the strength is appropriate.

[0015] In a second aspect, a limb flexibility training device is provided, including:

[0016] A data acquisition module for respectively fixing at least four energy buttons on the limbs of a user, and collecting and transmitting position information in real time;

[0017] A calculation module for receiving and processing the position information, calculating the movement trajectories of the limbs, and obtaining a calculation result;

[0018] An evaluation module for evaluating the flexibility level of the user according to the calculation result, and obtaining an evaluation result;

[0019] A training suggestion module for generating personalized training suggestions in real time according to the evaluation result.

[0020] In the above technical solution, by respectively fixing at least four energy buttons on the limbs of the user, collecting and transmitting position information in real time; receiving and processing the position information, calculating the movement trajectories of the limbs, and obtaining a calculation result; evaluating the flexibility level of the user according to the calculation result, and obtaining an evaluation result; generating personalized training suggestions in real time according to the evaluation result; the accurate monitoring and evaluation of limb flexibility are realized, and a personalized training plan is provided.

[0021] In a specific feasible implementation, it further includes:

[0022] A historical report module for recording the data of each training and generating a historical training report.

[0023] In a third aspect, an electronic device is provided. The electronic device includes a processor, the processor is coupled with a memory, and at least one computer program is stored in the memory. The at least one computer program is loaded and executed by the processor so that the electronic device implements any one of the limb flexibility training methods.

[0024] In the above technical solution, by respectively fixing at least four energy buttons on the limbs of the user, collecting and transmitting position information in real time; receiving and processing the position information, calculating the movement trajectories of the limbs, and obtaining a calculation result; evaluating the flexibility level of the user according to the calculation result, and obtaining an evaluation result; generating personalized training suggestions in real time according to the evaluation result; the accurate monitoring and evaluation of limb flexibility are realized, and a personalized training plan is provided.

[0025] Fourthly, a computer-readable storage medium is provided. At least one computer program is stored in the computer-readable storage medium and is loaded and executed by a processor to enable the computer-readable storage medium to implement any of the limb flexibility training methods described above.

[0026] In the above technical solution, at least four energy buttons are respectively fixed on the limbs of the user to collect and transmit position information in real time; receive and process the position information, calculate the movement trajectories of the limbs, and obtain a calculation result; according to the calculation result, evaluate the flexibility level of the user to obtain an evaluation result; according to the evaluation result, generate personalized training suggestions in real time; realize the accurate monitoring and evaluation of limb flexibility and provide a personalized training plan. Brief Description of the Drawings

[0027] Figure 1 It is a flowchart of the limb flexibility training method provided by an embodiment of the present application;

[0028] Figure 2 It is a structural block diagram of the limb flexibility training system provided by an embodiment of the present application. Detailed Embodiments

[0029] The present application will be further described in detail below with reference to the drawings and embodiments. Through these descriptions, the features and advantages of the present application will become more clearly defined.

[0030] The special term "exemplary" here means "serving as an example, an embodiment or illustrative". Any embodiment described as "exemplary" here does not have to be construed as superior to or better than other embodiments. Although various aspects of the embodiments are shown in the drawings, the drawings do not have to be drawn to scale unless otherwise specified.

[0031] In addition, the technical features involved in different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.

[0032] To facilitate the understanding of the four - limb flexibility training method and device provided by the embodiments of the present application, its application scenario is first described. The four - limb flexibility training method and device provided by the embodiments of the present application are used to achieve precise monitoring and evaluation of four - limb flexibility and provide personalized training programs. Flexibility is an important part of the health of human motor qualities and healthy motor performance. Traditional flexibility training methods usually rely on the subjective guidance and experience of coaches, lacking objective and precise data support and real - time feedback. In recent years, with the development of wearable devices, some intelligent devices have been introduced into flexibility training, but these devices often have single functions and cannot comprehensively monitor and evaluate the flexibility of the four limbs. For this reason, the embodiments of the present application provide a four - limb flexibility training method and device to achieve precise monitoring and evaluation of four - limb flexibility and provide personalized training programs. The following will be described in detail with specific drawings by way of examples.

[0033] Reference Figure 1 and Figure 2 , Figure 1 is the flowchart of the four - limb flexibility training method provided by the embodiments of the present application; Figure 2 is the structural block diagram of the four - limb flexibility training system provided by the embodiments of the present application.

[0034] In Figure 1 , the embodiments of the present application provide a four - limb flexibility training method, including the following steps:

[0035] Fix at least four energy buttons on the four limbs of the user respectively, and collect and transmit position information in real - time;

[0036] Receive and process the position information, calculate the movement trajectories of the four limbs, and obtain a calculation result;

[0037] According to the calculation result, evaluate the flexibility level of the user to obtain an evaluation result;

[0038] According to the evaluation result, generate personalized training suggestions with real - time feedback.

[0039] In the above - mentioned technical solution, by fixing at least four energy buttons on the four limbs of the user respectively, collecting and transmitting position information in real - time; receiving and processing the position information, calculating the movement trajectories of the four limbs to obtain a calculation result; according to the calculation result, evaluating the flexibility level of the user to obtain an evaluation result; according to the evaluation result, generating personalized training suggestions with real - time feedback; the precise monitoring and evaluation of four - limb flexibility are achieved, and a personalized training program is provided.

[0040] Specifically, by fixing at least four energy buttons (an energy button is a sensor device capable of collecting position information in real time) on the limbs of the user respectively, the precise monitoring and evaluation of the flexibility of the limbs can be achieved, and a personalized training plan can be provided. Its beneficial effects include:

[0041] Real-time monitoring and precise evaluation: By collecting the position information of the limbs in real time, the system can instantly track and record the movement trajectory of the user, providing a precise data basis for flexibility evaluation.

[0042] Using advanced algorithms to process the position information, key indicators such as the stretching degree and range of motion of the limbs in different movements can be calculated, thereby achieving precise evaluation of flexibility.

[0043] In this embodiment, the advanced algorithms include: trajectory analysis and prediction algorithm, KMeans clustering algorithm: used to cluster the movement trajectories, identify different movement patterns and behaviors, and thus evaluate the performance of flexibility in different movements. Further, LinearRegression linear regression algorithm: used to predict future movement trajectories based on historical trajectory data to help analyze the change trend of flexibility over time. Further, deep learning algorithm convolutional neural network CNN, used for more complex trajectory analysis and pattern recognition.

[0044] Personalized training suggestions: Based on the evaluation results, the system can intelligently analyze the flexibility level of the user and identify potential weaknesses or deficiencies. According to these analysis results, the system can generate personalized training suggestions in real time to help the user improve flexibility targeted and avoid blind training or overtraining.

[0045] Improve training effect and safety: The personalized training plan can ensure that the training content meets the actual needs and physical conditions of the user, thereby improving the training effect. At the same time, through real-time monitoring and feedback, the system can timely remind the user to pay attention to the movement specifications and prevent sports injuries caused by incorrect postures, improving training safety.

[0046] Enhance training motivation and persistence: The visual evaluation results of real-time feedback can allow the user to clearly see their progress and room for improvement, thereby enhancing training motivation.

[0047] Personalized training suggestions can also make the user feel a tailor-made training plan and are more likely to maintain the continuity and enthusiasm of training.

[0048] Facilitate data management and analysis: The system can automatically record and store the data of each training, which is convenient for the user to view the historical records at any time and compare the flexibility changes in different time periods. These data can also be used for further data analysis, providing strong support for scientific research, teaching or training optimization.

[0049] Wide range of applications: This system is applicable not only to the training monitoring of professional athletes but also to the fitness exercises of the general population. Whether beginners or experienced fitness enthusiasts can benefit from it.

[0050] In summary, the method of achieving flexibility monitoring and evaluation by fixing energy buttons on the limbs not only improves the accuracy and personalization of flexibility training but also enhances the safety and motivation of training.

[0051] In a specific feasible implementation, it also includes: recording the data of each training session and generating a historical training report.

[0052] Specifically, recording the data of each training session and generating a historical training report, the beneficial effects include:

[0053] Tracking training progress: By recording the data of each training session, the training progress of the user can be clearly tracked, including the improvement of flexibility level, the completion of movements, etc. This helps the user intuitively see their efforts and achievements, thereby enhancing the motivation and confidence of training.

[0054] Evaluating training effects: The historical training report provides comprehensive training data, including training time, training intensity, flexibility indicators, etc., which helps to evaluate the training effects. By comparing the training data of different time periods, the progress and potential problems in training can be identified, providing a basis for adjusting the subsequent training plan.

[0055] Optimizing the training plan: Based on the data in the historical training report, the training habits and weaknesses of the user can be analyzed, so as to formulate a more scientific and personalized training plan. This helps to improve training efficiency, avoid blind or inefficient training, and reduce the risk of sports injuries at the same time.

[0056] Enhancing training motivation: Looking at their continuously improving training data, users will be more motivated to stick to training and pursue higher training goals. At the same time, the achievements and highlights in the historical training report can also serve as an incentive to help users maintain a positive mindset and training state.

[0057] Providing data support: For coaches or fitness consultants, the historical training report provides valuable data support, which helps them to more accurately understand the training situation of users. This helps coaches to formulate more precise training guidance plans and provide better training services for users.

[0058] Promoting scientific training: Recording and analyzing training data is an important part of scientific training. Through the historical training report, the training effects can be evaluated more objectively, avoiding subjective assumptions and blind training. This helps to promote the development of training towards a more scientific and standardized direction.

[0059] In summary, recording the data of each training session and generating a historical training report have significant beneficial effects on improving training results, optimizing training plans, enhancing training motivation, etc.; it helps to achieve the goals of scientific training and personalized training, bringing a better training experience and results to users.

[0060] In a specific feasible implementation, the energy button includes a position sensor and a wireless communication module, which are respectively used for collecting and transmitting the position information.

[0061] Specifically, the energy button, as an intelligent device integrating multiple functions, its core components include a position sensor and a wireless communication module. These two modules respectively undertake the important tasks of collecting and transmitting position information, which are crucial for achieving accurate monitoring and evaluation of limb flexibility.

[0062] The position sensor is one of the key components in the energy button, and its main function is to accurately collect the position information of the limbs. This kind of sensor usually has the characteristics of high precision, high sensitivity and strong adaptability, and can work stably in various environments to ensure the accuracy of the collected data.

[0063] High-precision measurement: The position sensor can achieve high-precision measurement of the limb positions. Whether in one-dimensional, two-dimensional or three-dimensional space, it can provide accurate position information.

[0064] High sensitivity: The sensor can sensitively sense the changes in the limb positions and output corresponding signals in a timely manner for subsequent data processing and analysis.

[0065] Strong adaptability: In various harsh working environments, such as high temperature, low temperature, high humidity and other environments, the position sensor can still maintain stable performance and accurate measurement results.

[0066] The wireless communication module is the component in the energy button responsible for transmitting the position information. It can send the data collected by the position sensor in the form of wireless signals to achieve real-time data transmission and remote monitoring.

[0067] Data transmission: The wireless communication module supports various wireless communication technologies, such as Wi-Fi, Bluetooth, etc., and can quickly and accurately transmit the position information to the designated receiving end.

[0068] Remote control: Through the wireless communication module, users can achieve remote control and monitoring, and view and analyze the limb position information at any time to provide real-time feedback for training.

[0069] Low-power design: To meet the requirements of long-term operation, the wireless communication module usually adopts a low-power design to ensure continuous and stable operation within the limited battery life.

[0070] In summary, the position sensor and the wireless communication module in the energy button together constitute the core system for collecting and transmitting position information. The high performance and high reliability of these two modules provide a strong guarantee for the accurate monitoring and evaluation of limb flexibility. Through the collaborative work of these two modules, the position information of the limbs can be obtained in real time, and then key indicators such as the extension degree and range of motion of the limbs in different movements can be analyzed, providing a scientific basis for personalized training programs.

[0071] In a specific feasible implementation, the position information includes the real-time position, angle change, and speed of the limbs.

[0072] In a specific feasible implementation, a flexibility evaluation model is used to quantitatively analyze and evaluate the flexibility level of the user.

[0073] Specifically, the flexibility evaluation model uses a large model based on the muscle flexibility assessment scale and the Transformer architecture. The construction process includes:

[0074] I. Model basic architecture selection

[0075] Muscle Flexibility Assessment Scale (MFS):

[0076] The MFS is a comprehensive evaluation system covering multi-dimensional indicators with rigorous reliability and validity, used to quantitatively evaluate the muscle flexibility status.

[0077] It includes evaluations in multiple aspects such as static stretching amplitude, dynamic stretching amplitude, and joint coordinated movement range, and can comprehensively reflect an individual's flexibility level.

[0078] Transformer architecture:

[0079] The Transformer architecture has achieved remarkable results in fields such as NLP with its powerful parallel computing ability and self-attention mechanism.

[0080] In the flexibility evaluation model, the Transformer architecture can be used to process and analyze a large amount of position information data, extract key features, and achieve high-precision flexibility evaluation.

[0081] II. The model includes:

[0082] Data preparation module, used for:

[0083] Collect a large amount of flexibility evaluation data, including various scores of the MFS scale and the position information of the subjects (including joint angles, muscle lengths).

[0084] Preprocess the data, including data cleaning and normalization, to ensure the quality and consistency of the data.

[0085] The model construction module is used for:

[0086] Combine the MFS scale and the Transformer architecture to design the overall architecture of the model;

[0087] Determine the input layer, hidden layer and output layer of the model, as well as the connection methods and parameter settings between each layer.

[0088] The feature extraction module is used for:

[0089] Utilize the self-attention mechanism and position encoding technology in the Transformer architecture to extract key features from the input position information data;

[0090] These features should be able to accurately reflect the flexibility level of the subjects, including static flexibility, dynamic flexibility, joint range of motion, etc.

[0091] The model training module is used for:

[0092] Train the model using the prepared training data set;

[0093] During the training process, define appropriate loss functions and optimizers, and update the model parameters iteratively to make the model gradually converge to the optimal solution.

[0094] The model evaluation module is used for:

[0095] Evaluate the trained model using an independent test data set;

[0096] Evaluate the performance of the model by comparing the prediction results of the model and the actual evaluation results, including accuracy metrics and stability metrics.

[0097] The model optimization module is used for:

[0098] Optimize the model according to the evaluation results, including adjusting the model architecture, increasing the data volume, and improving the feature extraction method;

[0099] Repeat the processes of training, evaluation and optimization until the model performance meets the expected requirements.

[0100] The flexibility evaluation module is used for:

[0101] Apply the trained model to new position information data for flexibility evaluation;

[0102] Output the evaluation results, including the scores of each item on the MFS scale and the flexibility level.

[0103] A sports injury prevention module, configured to:

[0104] Timely detect potential sports injury risks by long-term tracking and evaluating the flexibility level of the subject;

[0105] Provide the subject with suggestions and measures for preventing sports injuries to reduce the probability of injury.

[0106] In a specific feasible implementation, the real-time feedback information includes whether the movement is in place and whether the strength is appropriate.

[0107] In the above technical solution, by respectively fixing at least four energy buttons on the limbs of the user, collecting and transmitting position information in real time; receiving and processing the position information, calculating the movement trajectories of the limbs to obtain a calculation result; evaluating the flexibility level of the user according to the calculation result to obtain an evaluation result; generating personalized training suggestions in real time according to the evaluation result; realizing the precise monitoring and evaluation of the limb flexibility and providing a personalized training plan.

[0108] In Figure 2 the present application provides an apparatus for training limb flexibility, including:

[0109] A data acquisition module, configured to respectively fix at least four energy buttons on the limbs of the user and collect and transmit position information in real time;

[0110] A calculation module, configured to receive and process the position information, calculate the movement trajectories of the limbs to obtain a calculation result;

[0111] An evaluation module, configured to evaluate the flexibility level of the user according to the calculation result to obtain an evaluation result;

[0112] A training suggestion module, configured to generate personalized training suggestions in real time according to the evaluation result.

[0113] In the above technical solution, by respectively fixing at least four energy buttons on the limbs of the user, collecting and transmitting position information in real time; receiving and processing the position information, calculating the movement trajectories of the limbs to obtain a calculation result; evaluating the flexibility level of the user according to the calculation result to obtain an evaluation result; generating personalized training suggestions in real time according to the evaluation result; realizing the precise monitoring and evaluation of the limb flexibility and providing a personalized training plan.

[0114] In a specific feasible implementation, it further includes:

[0115] A historical report module, configured to record the data of each training and generate a historical training report.

[0116] An embodiment of the present application further provides an electronic device, which includes a processor coupled to a memory. At least one computer program is stored in the memory and is loaded and executed by the processor to enable the electronic device to implement any one of the limb flexibility training methods.

[0117] In the above technical solution, at least four energy buttons are respectively fixed on the limbs of the user to collect and transmit position information in real time; receive and process the position information, calculate the movement trajectories of the limbs, and obtain a calculation result; according to the calculation result, evaluate the flexibility level of the user to obtain an evaluation result; according to the evaluation result, generate personalized training suggestions in real time; realize the accurate monitoring and evaluation of limb flexibility and provide a personalized training plan.

[0118] An embodiment of the present application further provides a computer-readable storage medium, in which at least one computer program is stored and is loaded and executed by a processor to enable the computer-readable storage medium to implement any one of the limb flexibility training methods.

[0119] In the above technical solution, at least four energy buttons are respectively fixed on the limbs of the user to collect and transmit position information in real time; receive and process the position information, calculate the movement trajectories of the limbs, and obtain a calculation result; according to the calculation result, evaluate the flexibility level of the user to obtain an evaluation result; according to the evaluation result, generate personalized training suggestions in real time; realize the accurate monitoring and evaluation of limb flexibility and provide a personalized training plan.

[0120] Those skilled in the art of the present application know that the present application can be implemented as a system, a method, or a computer program product.

[0121] Therefore, the present disclosure can be specifically implemented in the following forms: it can be completely hardware, can be completely software (including firmware, resident software, microcode, etc.), or can be a combination of hardware and software, which is generally referred to as "circuit", "module" or "system" in this article. In addition, in some embodiments, the present application can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable media contains computer-readable program code.

[0122] Any combination of one or more computer-readable media may be employed. The computer-readable media may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example - but not limited to - an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium include: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer-readable storage medium may be any tangible medium that contains or stores a program which can be used by or in connection with an instruction execution system, apparatus, or device.

[0123] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limitations on the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application. On this basis, various substitutions and improvements can be made to the present application, and all of these fall within the protection scope of the present application.

Claims

1. A method for training the flexibility of the limbs, characterized in that, It includes the following steps: Fix at least four energy buttons on the limbs of the user respectively, and collect and transmit the position information in real time; Receive and process the position information, calculate the movement trajectories of the limbs, and obtain a calculation result; Evaluate the flexibility level of the user according to the calculation result, and obtain an evaluation result; Generate personalized training suggestions with real-time feedback according to the evaluation result.

2. The four-limb flexibility training method according to claim 1, characterized in that It also includes: Record the data of each training and generate a historical training report.

3. The four-limb flexibility training method according to claim 2, wherein, The energy button includes a position sensor and a wireless communication module, which are respectively used for collecting and transmitting the position information.

4. The four-limb flexibility training method according to claim 3, wherein The position information includes the real-time positions, angular changes and speeds of the limbs.

5. The method for training the flexibility of the limbs according to claim 4, wherein Adopt a flexibility evaluation model to quantitatively analyze and evaluate the flexibility level of the user.

6. The method for training the flexibility of the limbs according to claim 5, wherein The real-time feedback information includes whether the movement is in place and whether the strength is appropriate.

7. A four-limb flexibility training device, characterized in that, It includes: A data acquisition module, which is used to fix at least four energy buttons on the limbs of the user respectively, and collect and transmit the position information in real time; A calculation module, which is used to receive and process the position information, calculate the movement trajectories of the limbs, and obtain a calculation result; An evaluation module, which is used to evaluate the flexibility level of the user according to the calculation result, and obtain an evaluation result; A training suggestion module, which is used to generate personalized training suggestions with real-time feedback according to the evaluation result.

8. The four-limb flexibility training device according to claim 7, wherein, It also includes: A historical report module, which is used to record the data of each training and generate a historical training report.

9. An electronic device, characterized in that, The electronic device includes a processor, the processor is coupled with a memory, and at least one computer program is stored in the memory. The at least one computer program is loaded and executed by the processor so that the electronic device implements the four-limb flexibility training method according to any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that, At least one computer program is stored in the computer-readable storage medium. The at least one computer program is loaded and executed by a processor so that the computer-readable storage medium implements the four-limb flexibility training method according to any one of claims 1 to 6.

Images