Intelligent elastic band system for quantitative evaluation of impedance training

Abstract

The invention discloses an intelligent elastic band system for impedance training quantitative evaluation, which comprises a mechanoluminescence elastic band, a main body part made of a high-elasticity material and a light-emitting sheet arranged on the main body part, and the light-emitting sheet comprises a dyeing block serving as a remarkable visual characteristic and used for a visual system to identify the size change of the elastic band, the force-induced luminescent material emits light when the elastic band is stressed and stretched, provides an auxiliary light source for the visual system, and calculates the tensile force and work in real time by fitting the mathematical relationship between the signal of the sliding potentiometer and the tensile force of the elastic band, and the data analysis and feedback module receives the real-time data of the visual processing system or the stress sensor module. Training intensity and a work doing curve are analyzed, and instant feedback is provided through a display screen or other equipment. Therefore, the data analysis and feedback module supports instant feedback and personalized optimization, the problems that a traditional evaluation method is high in cost, poor in real-time performance and insufficient in data continuity are successfully solved, and the method is suitable for various training environments.

Description

Technical Field

[0001] The invention relates to the technical field of paint mixing, and in particular to an intelligent elastic belt system for quantitative evaluation of impedance training. Background Art

[0002] Impedance training is a training method that increases muscle strength by using muscles to resist external forces. It is widely used in muscle strength improvement, rehabilitation training and sports ability enhancement. Elastic resistance bands have become one of the common impedance training tools because of their low cost, strong portability and wide applicability. In the prior art, in order to evaluate the tension and work done during training, the following two methods are often used: one is to use large-scale isokinetic force measuring equipment to measure the tension and resistance changes in real time through high-precision sensors. This method has high accuracy, but the equipment is large in size, high in cost and complex in operation, which limits its application in homes or ordinary fitness venues; the other is to estimate tension and work done through the stress-strain characteristics of elastic bands combined with rulers or manual markings. However, this method has poor real-time and continuity and cannot meet the needs of modern personalized training;

[0003] In the above technical solutions, although the large-scale isokinetic force measuring equipment has high accuracy, it is bulky, expensive, and requires professional operation, which seriously limits its popularity and flexibility. The evaluation method based on the stress-strain characteristics of the elastic band is economical and practical, but it relies on manual marking or rulers, the process is cumbersome, and the data acquisition is discontinuous and lacks real-time performance. In addition, the elastic band evaluation scheme in the prior art is usually unable to integrate sensors without affecting the flexibility of the elastic band, resulting in some training movements cannot be completed smoothly. In order to solve these problems, an intelligent evaluation system is needed that can maintain the flexibility of the elastic band and can monitor the tension and work in real time, continuously and accurately, so as to improve the scientificity and convenience of impedance training. Summary of the invention

[0004] The present invention aims to solve one of the technical problems in the related art at least to a certain extent.

[0005] To this end, the purpose of the present invention is to propose an intelligent elastic belt system for quantitative evaluation of impedance training. By combining machine vision technology and stress sensor technology, an intelligent elastic belt system is proposed to achieve real-time, continuous and accurate evaluation during impedance training. The visual system uses dye blocks and mechanoluminescent materials to obtain dynamic deformation data of the elastic belt through image processing and three-dimensional reconstruction algorithms. The stress sensor module detects the tensile displacement of the elastic belt through a sliding potentiometer, and calculates the tension and work done in combination with a mechanical model. While maintaining the flexibility of the elastic belt, the system overcomes the problems of high cost, low convenience and lack of real-time performance of traditional evaluation methods.

[0006] To achieve the above object, the present invention proposes an intelligent elastic belt system for quantitative evaluation of impedance training, comprising:

[0007] The force-induced luminescent elastic belt is composed of a main body part made of a high elastic material and a luminescent sheet arranged thereon, wherein the luminescent sheet comprises:

[0008] The dyed patches serve as distinct visual features for the visual system to identify dimensional changes in the elastic band;

[0009] Mechanoluminescent materials emit light when the elastic band is stretched, providing auxiliary light source for the visual system;

[0010] A protective film for mechanoluminescent materials, used to protect the stability of mechanoluminescent materials and extend their service life;

[0011] An image acquisition device for capturing images of deformation of the elastic band during resistance training;

[0012] Vision processing system, including:

[0013] An image processing module extracts relevant information of the elastic band through mask technology;

[0014] Feature point recognition module, which identifies key feature points by analyzing the dyed blocks;

[0015] The 3D reconstruction module uses the SGBM binocular vision algorithm to measure the dynamic deformation of the elastic band;

[0016] The data analysis module calculates the real-time tension and accumulated work in combination with the mechanical model of the elastic band;

[0017] Stress sensor module, including:

[0018] The outer shell of the sensor has a fixed end limit device and a movable end limit device for fixing the elastic band;

[0019] A sliding clamp connected to the elastic band and sliding as the elastic band stretches or contracts;

[0020] A sliding potentiometer is connected to the sliding fixture and outputs an electrical signal related to the tension of the elastic band;

[0021] The data processing module calculates the tension and work done in real time by fitting the mathematical relationship between the sliding potentiometer signal and the tension of the elastic band;

[0022] The data analysis and feedback module receives real-time data from the visual processing system or stress sensor module, analyzes the training intensity and work curve, and provides instant feedback through a display screen or other devices.

[0023] The intelligent elastic belt system for quantitative evaluation of impedance training of the present invention realizes real-time, continuous and accurate evaluation in the impedance training process through the joint application of the mechanoluminescent elastic belt and the visual processing system or the stress sensor module. The visual system accurately obtains dynamic deformation data through the characteristic information provided by the dye block and the mechanoluminescent material in combination with the three-dimensional reconstruction algorithm; the stress sensor module senses the displacement signal through the sliding potentiometer and calculates the tension and work done in combination with the mechanical model. The two technologies complement each other and meet the requirements of real-time and high precision while maintaining the flexibility of the elastic belt. In addition, the data analysis and feedback module supports instant feedback and personalized optimization, successfully solving the problems of high cost, poor real-time performance and insufficient data continuity of traditional evaluation methods, and is suitable for a variety of training environments.

[0024] In addition, the intelligent elastic belt system for quantitative evaluation of impedance training proposed in the present invention may also have the following additional technical features:

[0025] Specifically, the light-emitting sheet includes a three-layer structure: a mesoluminescent material protective film, a mesoluminescent material and a dyeing block, wherein the distribution position of the dyeing block is optimized by design to enhance the visual recognition effect.

[0026] Specifically, the visual processing system uses an edge detection algorithm to extract the edge contour of the elastic band and performs denoising on the image data to improve the accuracy of the deformation data.

[0027] Specifically, the sliding potentiometer of the stress sensor module is fixedly connected to the sliding fixture, and the real-time tension of the elastic band is fitted by sensing the change of the sliding potentiometer signal in combination with the mechanical model.

[0028] Specifically, the image acquisition device is a binocular camera, which obtains the three-dimensional dynamic deformation information of the elastic band through stereo correction and real-time image processing.

[0029] Specifically, the data analysis and feedback module includes a wireless communication module, which wirelessly sends the training data to an external device or the cloud for storage and further analysis.

[0030] Specifically, the mechanical model of the elastic band is fitted based on experimental data, and the instantaneous tension is calculated by using a formula for the relationship between stretch rate and tension in combination with real-time deformation data.

[0031] Specifically, the system includes a training record module for storing historical training data of trainees and generating a personalized training plan based on analysis results.

[0032] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0034] Figure 1 It is a schematic diagram of the overall structure of the electroluminescent elastic belt in the present invention;

[0035] Figure 2 Schematic diagram of the three-layer structure of the light-emitting sheet in the present invention;

[0036] Figure 3 This is a schematic diagram of a specific application of the elastic band system based on machine vision technology of the present invention;

[0037] Figure 4 This is the overall design logic diagram of the machine vision system in the present invention.

[0038] Figure 5 It is a schematic diagram of the overall structure of the elastic band system based on the stress sensor technology in the present invention;

[0039] Figure 6 is a structural diagram of the stress sensor in the present invention;

[0040] Figure 7 It is a schematic diagram of a specific application of an elastic band system based on a stress sensor in the present invention;

[0041] Figure 8 This is the overall design logic diagram of the stress sensor in the present invention.

[0042] As shown in the figure:

[0043] 2. Luminescent sheet; 3. Protective film for force-induced luminescent material; 4. Force-induced luminescent material; 5. Dyeing block; 6. Stress sensor; 7. Elastic band; 8. Movable end limit device; 9. Sliding potentiometer; 10. Sensor housing; 11. Sliding clamp; 12. Fixed end limit device. DETAILED DESCRIPTION

[0044] Embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limitations of the present invention. On the contrary, embodiments of the present invention include all changes, modifications and equivalents that fall within the spirit and connotation of the appended claims.

[0045] The following describes the smart elastic belt system for quantitative evaluation of impedance training according to an embodiment of the present invention in conjunction with the accompanying drawings.

[0046] like Figure 1-Figure 8As shown, the intelligent elastic belt system for quantitative evaluation of impedance training according to an embodiment of the present invention comprises:

[0047] The force-induced luminous elastic band 7 is composed of a main body made of a highly elastic material and a luminous sheet 2 arranged thereon, and the luminous sheet 2 includes:

[0048] The dyed block 5 is used as a significant visual feature for the visual system to identify the size change of the elastic band 7;

[0049] The mechanoluminescent material 4 emits light when the elastic band 7 is stretched, providing an auxiliary light source for the visual system;

[0050] The mesoluminescent material protection film 3 is used to protect the stability of the mesoluminescent material 4 and extend its service life.

[0051] The image acquisition device is used to capture the deformation image of the elastic band 7 during the impedance training process.

[0052] Vision processing system, including:

[0053] An image processing module, which extracts relevant information of the elastic band 7 by means of a masking technique;

[0054] A feature point recognition module identifies key feature points by analyzing the dyed block 5;

[0055] The three-dimensional reconstruction module uses the SGBM binocular vision algorithm to realize the dynamic deformation measurement of the elastic band 7;

[0056] The data analysis module calculates the real-time tension and the accumulated work in combination with the mechanical model of the elastic band 7 .

[0057] The stress sensor module 6 comprises:

[0058] The sensor outer shell 10 has a fixed end limiter 12 and a movable end limiter 8 for fixing the elastic band 7;

[0059] A sliding clamp 11 is connected to the elastic band 7 and slides as the elastic band 7 stretches or contracts;

[0060] A sliding potentiometer 9 is connected to the sliding fixture 11 and outputs an electrical signal related to the tension of the elastic band 7;

[0061] The data processing module calculates the tension and work done in real time by fitting the mathematical relationship between the signal of the sliding potentiometer 9 and the tension of the elastic band 7.

[0062] The data analysis and feedback module receives real-time data from the visual processing system or the stress sensor module 6, analyzes the training intensity and work curve, and provides instant feedback through a display screen or other devices.

[0063] It should be noted that: through the combination of the mechanoluminescent elastic band 7 and the visual processing system, high-precision non-contact tension measurement is achieved, which is particularly suitable for dynamically changing impedance training scenarios. The integration of the mechanoluminescent material 4 not only improves the image acquisition effect in low-light environments, but also extends the service life of the overall system through the protective film layer. The visual processing system can extract deformation information from the image in real time and provide scientific feedback through the data analysis module, laying the foundation for the design of personalized training programs.

[0064] Furthermore, if Figure 1-Figure 8 As shown, the luminescent sheet 2 includes a three-layer structure: a mesoluminescent material protective film 3, a mesoluminescent material 4 and a dyeing block 5, wherein the distribution position of the dyeing block 5 is optimized by design to enhance the visual recognition effect.

[0065] It should be noted that the three-layer structure design of the light-emitting sheet 2 improves the stability of the electroluminescent material 4, so that it maintains consistent luminous performance during multiple uses. The optimized distribution of the dye block 5 enhances the recognition accuracy under complex training actions by providing clear recognition feature points for the visual system. At the same time, the protective film layer reduces the influence of ambient light and friction on the material, making it more applicable.

[0066] Furthermore, if Figure 1-Figure 8 As shown, the visual processing system uses an edge detection algorithm to extract the edge contour of the elastic band 7 and performs denoising on the image data to improve the accuracy of the deformation data.

[0067] It should be noted that the edge detection algorithm realizes rapid processing of the image by extracting the deformation contour of the elastic band 7, and can meet the needs of high-frequency dynamic training. Combined with denoising, the system can filter out non-critical information, improving the stability and reliability of the final data. This method is particularly suitable for training environments with complex backgrounds or large noise.

[0068] Furthermore, if Figure 1-Figure 8 As shown, the sliding potentiometer 9 of the stress sensor module 6 is fixedly connected to the sliding fixture 11, and the real-time tension of the elastic band 7 is fitted by sensing the signal change of the sliding potentiometer 9 in combination with the mechanical model.

[0069] It should be noted that the sliding potentiometer 9 greatly simplifies the hardware design and reduces the system complexity by converting the dynamic deformation of the elastic band 7 into a measurable electrical signal. Combined with the mechanical model, the system can achieve high-precision tension monitoring at a low cost, further improving the practicality and scalability of the evaluation.

[0070] Furthermore, if Figure 1-Figure 8 As shown, the image acquisition device is a binocular camera, which obtains the three-dimensional dynamic deformation information of the elastic band 7 through stereo correction and real-time image processing.

[0071] It should be noted that the binocular camera can capture the dynamic deformation information of the elastic band 7 from multiple angles, and combined with the stereo correction technology, realize three-dimensional reconstruction and measurement. This design is particularly suitable for impedance training scenarios that require high precision and large field of view coverage, effectively expanding the scope of application of the system.

[0072] Furthermore, if Figure 1-Figure 8 As shown, the data analysis and feedback module includes a wireless communication module, which wirelessly sends the training data to an external device or the cloud for storage and further analysis.

[0073] It should be noted that the wireless communication module supports remote data management and cloud processing, which can not only achieve long-term storage of training data, but also facilitate cross-device data sharing and personalized optimization solution design. This function makes the system more widely used, suitable for families, gyms and professional rehabilitation institutions.

[0074] Furthermore, if Figure 1-Figure 8 As shown, the mechanical model of the elastic band 7 is fitted based on experimental data, and the instantaneous tension is calculated by using the relationship formula between the stretch rate and the tension combined with the real-time deformation data.

[0075] It should be noted that the mechanical model fitting based on experimental data greatly improves the accuracy of tension calculation, and by combining it with real-time deformation data, it ensures that every movement in the training process can be accurately evaluated. This design provides a scientific basis for personalized training.

[0076] Furthermore, if Figure 1-Figure 8 As shown, the system includes a training record module for storing the historical training data of the trainee and generating a personalized training plan based on the analysis results.

[0077] It should be noted that the training record module can generate personalized training plans based on individual needs by storing user data for a long time, which significantly improves the pertinence and effectiveness of training. The design of this module helps promote the popularization and scientificization of impedance training.

[0078] In summary, the intelligent elastic belt system for quantitative evaluation of impedance training in the embodiment of the present invention realizes real-time, continuous and accurate evaluation during impedance training through the combined application of the mesoluminescent elastic belt 7 and the visual processing system or the stress sensor module 6. The visual system accurately obtains dynamic deformation data through the characteristic information provided by the dye block 5 and the mesoluminescent material 4, combined with the three-dimensional reconstruction algorithm; the stress sensor module 6 senses the displacement signal through the sliding potentiometer 9, and calculates the tension and work done in combination with the mechanical model. The two technologies complement each other, meeting the real-time and high-precision requirements while maintaining the flexibility of the elastic belt. In addition, the data analysis and feedback module supports instant feedback and personalized optimization, successfully solving the problems of high cost, poor real-time performance and insufficient data continuity of traditional evaluation methods, and is suitable for a variety of training environments.

[0079] In the description of this specification, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0080] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0081] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and deform the above embodiments within the scope of the present invention.

Claims

1. An intelligent elastic belt system for quantitative evaluation of impedance training, characterized in that: include: The force-induced luminescent elastic band (7) is composed of a main body part made of a highly elastic material and a luminescent sheet (2) arranged thereon, wherein the luminescent sheet (2) comprises: The dyed patch (5) serves as a significant visual feature for the visual system to recognize the dimensional change of the elastic band; The mechanoluminescent material (4) emits light when the elastic band (7) is stretched, thereby providing an auxiliary light source for the visual system; A mesoluminescent material protective film (3) for protecting the stability of the mesoluminescent material (4) and extending its service life; An image acquisition device, used for capturing an image of the deformation of the elastic band (7) during the impedance training process; Vision processing system, including: An image processing module, which extracts relevant information of the elastic band (7) by masking technology; A feature point recognition module identifies key feature points by analyzing the dyed block (5); A three-dimensional reconstruction module, using the SGBM binocular vision algorithm to achieve dynamic deformation measurement of the elastic band (7); A data analysis module, which calculates the real-time tension and accumulated work in combination with the mechanical model of the elastic band (7); A stress sensor module (6), comprising: The sensor outer shell (10) has a fixed end limit device (12) and a movable end limit device (8) for fixing the elastic band (7); A sliding clamp (11) is connected to the elastic band (7) and slides as the elastic band (7) stretches or contracts; A sliding potentiometer (9) is connected to the sliding fixture (11) and outputs an electrical signal related to the tension of the elastic band (7); A data processing module calculates the tension and work done in real time by fitting the mathematical relationship between the signal of the sliding potentiometer (9) and the tension of the elastic band (7); The data analysis and feedback module receives real-time data from the visual processing system or the stress sensor module (6), analyzes the training intensity and work curve, and provides instant feedback through a display screen or other devices.

2. The intelligent elastic belt system for impedance training quantitative evaluation according to claim 1, characterized in that: The light-emitting sheet (2) comprises a three-layer structure: a mesoluminescent material protective film (3), a mesoluminescent material (4) and a dyeing block (5), wherein the distribution position of the dyeing block (5) is optimized by design to enhance the visual recognition effect.

3. The intelligent elastic belt system for impedance training quantitative evaluation according to claim 1, characterized in that: The visual processing system uses an edge detection algorithm to extract the edge contour of the elastic band (7), and performs denoising processing on the image data to improve the accuracy of the deformation data.

4. The intelligent elastic belt system for quantitative evaluation of impedance training according to claim 1, characterized in that: The sliding potentiometer (9) of the stress sensor module (6) is fixedly connected to the sliding fixture (11), and the real-time tension of the elastic band (7) is fitted by sensing the signal change of the sliding potentiometer (9) in combination with the mechanical model.

5. The intelligent elastic belt system for quantitative evaluation of impedance training according to claim 1, characterized in that: The image acquisition device is a binocular camera, which acquires the three-dimensional dynamic deformation information of the elastic band (7) through stereo correction and real-time image processing.

6. The intelligent elastic belt system for quantitative evaluation of impedance training according to claim 1, characterized in that: The data analysis and feedback module includes a wireless communication module, which wirelessly sends the training data to an external device or the cloud for storage and further analysis.

7. The intelligent elastic belt system for impedance training quantitative evaluation according to claim 1, characterized in that: The mechanical model of the elastic band (7) is fitted based on experimental data, and the instantaneous tension is calculated by using the relationship formula between the stretching rate and the tension in combination with the real-time deformation data.

8. The intelligent elastic belt system for impedance training quantitative evaluation according to claim 1, characterized in that: The system includes a training record module for storing historical training data of trainees and generating a personalized training program according to analysis results.

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