Human body bone joint kinematics dynamic acquisition device and acquisition system

Abstract

The invention discloses a human body bone joint kinematics dynamic acquisition device and system, and the device comprises a first installation base and a second installation base, the top of the first installation base is fixedly provided with a first acquisition seat, the top of the second installation base is fixedly provided with a second acquisition seat, the interior of the first acquisition seat is provided with an acquisition assembly, and the interior of the second acquisition seat is provided with a second acquisition assembly. A collection box is fixedly installed on the outer side of the collection assembly, a sensor is fixedly installed on the top of the collection box, and an attaching assembly is arranged on the outer side of the first installation base. According to the human body bone joint kinematics dynamic acquisition device and acquisition system, through cooperative work of the multi-mode sensor array and an advanced data preprocessing algorithm, the problems of errors and drifting existing in a traditional acquisition method are effectively solved, and the human body bone joint kinematics dynamic acquisition device and acquisition system can be suitable for users of different ages, genders and body types; the system has strong real-time data processing and analysis capability, and can identify joint motion modes in real time, calculate motion parameters and evaluate motion states in the motion process.

Description

Technical Field

[0001] The present invention relates to the technical fields of biomedical engineering and motion monitoring, and particularly to a kinematic dynamic acquisition device and acquisition system for human bone joints. Background Art

[0002] In many frontier fields such as current biomedical engineering, rehabilitation medicine, sports science, and human-computer interaction, the accurate acquisition and in-depth analysis of kinematic dynamic data of human bone joints have become the key requirements for promoting the development and application breakthroughs of related technologies. In medical rehabilitation treatment, accurately grasping the kinematic data of patients' bone joints is extremely crucial for formulating treatment plans, evaluating treatment effects, and monitoring the rehabilitation process. Doctors need to judge whether the rehabilitation training is effective and whether the rehabilitation plan needs to be adjusted based on information such as the range of motion of the patient's joints, movement trajectories, and the dynamic responses of the joints under the action of muscle strength. In the field of sports science, whether it is optimizing the daily training of athletes or studying the mechanisms of sports injuries, it highly depends on accurate bone joint kinematic data. Coaches expect to formulate personalized training plans for athletes by understanding the joint force application patterns, movement speeds, and acceleration changes of athletes in different sports events, so as to improve sports performance and reduce the risk of injury. Therefore, there is a particular need for a kinematic dynamic acquisition device and acquisition system for human bone joints.

[0003] However, the existing kinematic dynamic acquisition devices for human bone joints are based on imaging examination methods such as X-rays and CTs. Although they can provide bone structure information, they cannot reflect the situation of joints in the natural movement state in real time and dynamically. The commonly used goniometers in clinics to measure joint range of motion not only have strong subjectivity and limited accuracy, but also can only obtain data at static or limited action nodes, and cannot meet the requirements for continuous dynamic monitoring of joints. The existing acquisition technologies often focus on single joints or limited motion dimensions, and it is difficult to comprehensively and integrally reflect the complex movement state of the human body. Some simple motion capture methods perform poorly in terms of accuracy and real-time performance, resulting in obvious delays and deviations between the action presentation in the virtual scene and the user's real actions, seriously affecting the user experience. During long-term and complex movement processes, due to the cumulative errors and drifts of sensors, it is difficult to accurately restore the real movement trajectories of joints, and there are problems with low reliability. Summary of the Invention

[0004] The object of the present invention is to provide a human bone and joint kinematics dynamic acquisition device and an acquisition system, so as to solve the problems in the above-mentioned background technology. The existing human bone and joint kinematics dynamic acquisition devices are based on imaging examination methods such as X-rays and CTs. Although they can provide bone structure information, they cannot reflect the situation of joints in the natural movement state in real time and dynamically. The commonly used goniometers in clinics to measure joint range of motion not only have strong subjectivity and limited accuracy, but also can only obtain data at static or a limited number of action nodes, and cannot meet the requirements for continuous dynamic movement monitoring of joints. The existing acquisition technologies often focus on a single joint or limited movement dimensions, and it is difficult to comprehensively and synthetically reflect the complex movement state of the human body. Some simple motion capture methods perform poorly in terms of accuracy and real-time performance, resulting in obvious delays and deviations between the action presentation in the virtual scene and the user's real actions, seriously affecting the user experience. During long-term and complex movements, due to the cumulative error and drift of the sensors, it is difficult to accurately restore the true movement trajectory of the joints, and the reliability is relatively low.

[0005] To achieve the above object, the present invention provides the following technical solution: A human bone and joint kinematics dynamic acquisition device and an acquisition system, including a first mounting base and a second mounting base. A first acquisition base is fixedly installed on the top of the first mounting base. A first limiting groove is opened on the outer side of the first acquisition base. A second acquisition base is fixedly installed on the top of the second mounting base. A second limiting groove is opened on the outer side of the second acquisition base. An acquisition component is arranged inside the first acquisition base. An acquisition box is fixedly installed on the outer side of the acquisition component. An installation hole is opened on the outer side of the acquisition box. A sensor is fixedly installed on the top of the acquisition box. A positioning camera is fixedly installed on the outer side of the acquisition box. A fitting component is arranged on the outer side of the first mounting base.

[0006] Preferably, the sizes and structures of the first mounting base, the first acquisition base and the first limiting groove are the same as those of the second mounting base, the second acquisition base and the second limiting groove, and the first mounting base, the first acquisition base and the first limiting groove and the second mounting base, the second acquisition base and the second limiting groove are symmetrically distributed about the vertical center line of the acquisition component.

[0007] Preferably, the acquisition component includes a driving motor, a transmission lead screw, a lead screw seat, a moving seat, an acquisition ring, an anti-static ring, a sliding seat and a slide rail. A driving motor is fixedly installed at the bottom inside the first acquisition base. The output end of the driving motor is fixedly installed with a transmission lead screw. A lead screw seat is fixedly installed at the top inside the first acquisition base. A moving seat is meshed and connected to the outer side of the transmission lead screw. An acquisition ring is fixedly installed on the outer side of the moving seat. An anti-static ring is arranged on the outer side of the acquisition ring. A sliding seat is fixedly installed on the outer side of the acquisition ring. A slide rail is fixedly installed inside the second acquisition base. The transmission lead screw and the moving seat are adapted to each other.

[0008] Preferably, the horizontal section of the collection ring is in a "semicircular" structure. There are two identical static eliminator rings, and the two static eliminator rings are symmetrically distributed about the vertical center line of the collection ring.

[0009] Preferably, the sliding seat and the slide rail are slidably connected, and the moving seat and the sliding seat are on the same horizontal line.

[0010] Preferably, there are two identical sets of the collection box, the mounting hole, the sensor and the positioning camera, and the two sets of the collection box, the mounting hole, the sensor and the positioning camera are symmetrically distributed about the vertical center line of the collection ring.

[0011] Preferably, the fitting assembly includes a fitting seat, a receiver, a joint pad, a first fixed shaft, a left rotating strap, a clamping groove, a second fixed shaft, a right rotating strap and a clamping post. A fitting seat is arranged on the outer side of the first mounting base. A receiver is fixedly installed on the outer side of the fitting seat. A joint pad is arranged on the outer side of the receiver. A first fixed shaft is fixedly installed on the outer side of the fitting seat. A left rotating strap is rotatably installed on the outer side of the first fixed shaft. A clamping groove is formed in the outer side of the left rotating strap. A second fixed shaft is fixedly installed on the outer side of the fitting seat. A right rotating strap is rotatably installed on the outer side of the second fixed shaft. A clamping post is fixedly installed on the outer side of the right rotating strap.

[0012] Preferably, silicone pads are arranged on the outer sides of the left rotating strap and the right rotating strap, and the clamping groove and the clamping post are adapted to each other.

[0013] Preferably, there are two identical sets of the fitting assembly, and the two sets of the fitting assembly are symmetrically distributed about the vertical center line of the collection assembly.

[0014] A kinematic dynamic acquisition system for human joints and bones includes the following steps:

[0015] I. Device wearing and startup:

[0016] Before using the acquisition device, the user first needs to select a device of a suitable model according to the location and size of their own joints. The acquisition device provides a variety of different specifications and sizes to meet the needs of different users;

[0017] After selecting the device, the user gently wears the device on the target joint, ensures that the flexible fitting structure closely fits the joint surface, and adjusts the fixing strap to an appropriate tightness. During the wearing process, it is necessary to ensure that the position of the sensor is correct to avoid occlusion and deviation;

[0018] After wearing is completed, the user starts the acquisition device through the start button on the device or the supporting mobile application. After the device starts, the internal sensors will perform initialization and calibration operations to ensure the accuracy of the collected data. The calibration process usually lasts for several seconds, during which the user needs to keep the joint stationary;

[0019] II. Data Acquisition and Transmission:

[0020] When the acquisition device completes calibration and enters the normal working state, the multi-modal sensor array will collect various data of the human bone joints during movement in real time, including information such as acceleration, angular velocity, magnetic field strength, and pressure;

[0021] The collected raw data will be immediately transmitted to the real-time data preprocessing unit for processing. The preprocessing unit performs operations such as filtering, noise reduction, fusion, and coordinate transformation on the data according to the preset algorithm, and stores the processed data in the buffer area inside the device;

[0022] The data in the buffer area will be transmitted to an external receiving device in real time through the high-speed wireless data transmission module, such as a smartphone, tablet computer, or computer. The user can select a suitable receiving device according to actual needs, and receive and display the data through the supporting application or software installed on the device. During the data transmission process, the wireless transmission module will automatically select the best transmission mode (Bluetooth or Wi-Fi) according to the signal strength and transmission environment to ensure the stability and efficiency of data transmission;

[0023] III. Data Analysis and Result Display:

[0024] After the receiving device receives the data, it transmits the data to the data analysis and processing platform for further analysis and processing. The platform first parses and validates the data to ensure the integrity and accuracy of the data;

[0025] The verified data will be input into the pre-trained machine learning and deep learning models for operations such as joint movement pattern recognition, movement parameter calculation, and movement state evaluation. The platform will generate a detailed movement report according to the analysis results, including movement pattern classification, movement parameter charts, movement state evaluation conclusions, as well as suggestions and warning information, etc.;

[0026] The results of the analysis and processing will be presented to the user in an intuitive way through the data visualization module. The user can view the joint movement trajectory shown in 3D animation, the change curves of various movement parameters, and the detailed movement report through the computer monitor, tablet screen, or mobile phone screen. At the same time, the user can also perform further analysis and mining on the data through interactive operations, such as viewing the movement data within a specific time period, comparing the parameter differences under different movement states, etc.;

[0027] IV. Data Storage and Sharing:

[0028] After the data analysis and processing platform completes data processing and result display, it will automatically upload the original data and analysis results to the cloud storage and sharing platform for long-term preservation. Users can also manually select to back up or export specific data;

[0029] Users can access and manage their own exercise data anytime and anywhere by logging in to the web version or mobile application of the cloud storage platform. On the cloud platform, users can classify, tag, delete, etc. data, and can also set data sharing permissions;

[0030] When users need to share data with others, they only need to select the data to be shared on the cloud platform and specify the recipient's account or email. The platform will send a sharing invitation to the recipient. After the recipient accepts the invitation, they can access and download the shared data through authorization. Throughout the data sharing process, the cloud platform will strictly follow the permission management and data encryption mechanisms to ensure data security and privacy.

[0031] Compared with the prior art, the beneficial effects of the present invention are as follows: The kinematic dynamic acquisition device and acquisition system for human bone joints, through the collaborative work of the multi-modal sensor array and advanced data preprocessing algorithms, enable the acquisition device to obtain extremely accurate human bone joint movement data, effectively solving the problems of error and drift existing in traditional acquisition methods. Whether it is a tiny joint movement or a complex whole-body movement, it can be accurately captured and recorded, providing a reliable data basis for medical research, rehabilitation treatment, and sports training. Moreover, the adaptive fitting and flexible structure design of the acquisition device enable it to be applicable to users of different ages, genders, and body types, as well as joint monitoring of various parts of the human body. Whether in the rehabilitation treatment room of a hospital, the training venue of an athlete, or the daily life scenario of a user, it can be conveniently and quickly worn and used. At the same time, the multi-mode wireless transmission function and cross-platform compatibility of the acquisition system enable it to be seamlessly docked with various intelligent devices and data analysis software, meeting the needs of different users and application scenarios. Meanwhile, the acquisition system has powerful real-time data processing and analysis capabilities, capable of real-time identifying joint movement patterns, calculating movement parameters, and evaluating movement states during exercise. Through intuitive data visualization display and timely warning reminders, users can understand their exercise conditions in a timely manner, adjust exercise methods and intensities in a timely manner, and avoid the occurrence of sports injuries. For medical rehabilitation patients, doctors can adjust treatment plans in a timely manner according to real-time monitoring data, improving the rehabilitation effect. And the cloud storage and sharing platform not only realizes the long-term preservation and convenient sharing of data, but also provides the possibility for large-scale data mining and analysis. By deeply analyzing the movement data of a large number of users, the laws and characteristics of human movement can be revealed, potential health problems and movement risk factors can be discovered, providing valuable resources and new research ideas for research in fields such as medicine and sports science. At the same time, based on the analysis results of the data, more personalized and precise rehabilitation treatment plans and sports training plans can be developed, promoting the technological progress and development of related fields. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 is a schematic three-dimensional structure of the present invention Figure 1 ;

[0033] Figure 2 is a schematic three-dimensional structure of the present invention Figure 2 ;

[0034] Figure 3 is a schematic diagram of the three-dimensional split structure of the present invention;

[0035] Figure 4 is a schematic front view structure of the present invention;

[0036] Figure 5 is a schematic structure diagram of the acquisition component of the present invention;

[0037] Figure 6 Structural schematic diagram of the bonding component of the present invention;

[0038] Figure 7 Schematic diagram of the disassembled structure of the bonding component of the present invention Figure 1 ;

[0039] Figure 8 Schematic diagram of the disassembled structure of the bonding component of the present invention Figure 2 。

[0040] In the figure: 1, the first mounting base; 2, the first acquisition base; 3, the first limiting groove; 4, the second mounting base; 5, the second acquisition base; 6, the second limiting groove; 7, the acquisition component; 701, the driving motor; 702, the transmission lead screw; 703, the lead screw base; 704, the moving seat; 705, the acquisition ring; 706, the static eliminator ring; 707, the sliding seat; 708, the slide rail; 8, the acquisition box; 9, the mounting hole; 10, the sensor; 11, the positioning camera; 12, the bonding component; 1201, the bonding seat; 1202, the receiver; 1203, the joint pad; 1204, the first fixed shaft; 1205, the left rotating strap; 1206, the clamping groove; 1207, the second fixed shaft; 1208, the right rotating strap; 1209, the clamping post. Specific embodiments

[0041] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0042] Embodiment 1

[0043] Please refer to Figures 1-8 , the present invention provides a technical solution: a kinematic dynamic acquisition device and acquisition system for human joints and bones, including the first mounting base 1 and the second mounting base 4. The top of the first mounting base 1 is fixedly installed with the first acquisition base 2, the outside of the first acquisition base 2 is provided with the first limiting groove 3, the top of the second mounting base 4 is fixedly installed with the second acquisition base 5, the outside of the second acquisition base 5 is provided with the second limiting groove 6, the inside of the first acquisition base 2 is provided with the acquisition component 7, the outside of the acquisition component 7 is fixedly installed with the acquisition box 8, the outside of the acquisition box 8 is provided with the mounting hole 9, the top of the acquisition box 8 is fixedly installed with the sensor 10, the outside of the acquisition box 8 is fixedly installed with the positioning camera 11, and the outside of the first mounting base 1 is provided with the bonding component 12.

[0044] The sizes and structures of the mounting base one 1, the acquisition base one 2, and the limiting groove one 3 are the same as those of the mounting base two 4, the acquisition base two 5, and the limiting groove two 6. The mounting base one 1, the acquisition base one 2, and the limiting groove one 3 and the mounting base two 4, the acquisition base two 5, and the limiting groove two 6 are symmetrically distributed about the vertical center line of the acquisition component 7. By setting the sizes and structures of the mounting base one 1, the acquisition base one 2, and the limiting groove one 3 to be the same as those of the mounting base two 4, the acquisition base two 5, and the limiting groove two 6, the installation stability of the acquisition component 7 is improved.

[0045] The acquisition component 7 includes a drive motor 701, a transmission lead screw 702, a lead screw seat 703, a moving seat 704, an acquisition ring 705, an anti-static ring 706, a sliding seat 707, and a slide rail 708. The drive motor 701 is fixedly installed at the bottom inside the acquisition base one 2, the output end of the drive motor 701 is fixedly installed with the transmission lead screw 702, the lead screw seat 703 is fixedly installed at the top inside the acquisition base one 2, the outside of the transmission lead screw 702 is meshed and connected with the moving seat 704, the outside of the moving seat 704 is fixedly installed with the acquisition ring 705, the outside of the acquisition ring 705 is provided with the anti-static ring 706, the outside of the acquisition ring 705 is fixedly installed with the sliding seat 707, the slide rail 708 is fixedly installed inside the acquisition base two 5, and the transmission lead screw 702 and the moving seat 704 are adapted to each other. By setting the acquisition component 7, the height of the acquisition ring 705 can be adjusted according to people of different heights through the drive motor 701, making the acquired data more accurate.

[0046] The horizontal cross-section of the acquisition ring 705 is in a "semicircle" structure. There are two identical groups of anti-static rings 706, and the two groups of anti-static rings 706 are symmetrically distributed about the vertical center line of the acquisition ring 705. By setting the horizontal cross-section of the acquisition ring 705 to be in a "semicircle" structure, the movable and rotatable positioning camera 11 can more accurately lock the target, improving the acquisition accuracy.

[0047] The sliding seat 707 and the slide rail 708 are in a sliding connection, and the moving seat 704 and the sliding seat 707 are on the same horizontal line. By setting the sliding seat 707 and the slide rail 708 to be in a sliding connection, and the sliding seat 707 and the slide rail 708 are in a sliding connection, the acquisition ring 705 moves more stably on the transmission lead screw 702 and the slide rail 708 through the moving seat 704 and the sliding seat 707, improving the overall stability.

[0048] There are two identical sets of the collection box 8, the mounting holes 9, the sensors 10, and the positioning cameras 11, and the two sets of the collection box 8, the mounting holes 9, the sensors 10, and the positioning cameras 11 are symmetrically distributed about the vertical center line of the collection ring 705. By setting two sets of the collection box 8, the mounting holes 9, the sensors 10, and the positioning cameras 11, it is convenient to improve the accuracy of collection, enabling the two sets of sensors 10 and positioning cameras 11 to have clear division of labor, separately collecting the dynamics of the tester's legs, improving the accuracy of data, and ensuring the security and reliability of data.

[0049] The fitting assembly 12 includes a fitting seat 1201, a receiver 1202, a joint pad 1203, a first fixed shaft 1204, a left rotating strap 1205, a clamping groove 1206, a second fixed shaft 1207, a right rotating strap 1208, and a clamping post 1209. The fitting seat 1201 is arranged on the outer side of the first mounting base 1. The receiver 1202 is fixedly installed on the outer side of the fitting seat 1201. The joint pad 1203 is arranged on the outer side of the receiver 1202. The first fixed shaft 1204 is fixedly installed on the outer side of the fitting seat 1201. The left rotating strap 1205 is rotatably installed on the outer side of the first fixed shaft 1204. The clamping groove 1206 is formed on the outer side of the left rotating strap 1205. The second fixed shaft 1207 is fixedly installed on the outer side of the fitting seat 1201. The right rotating strap 1208 is rotatably installed on the outer side of the second fixed shaft 1207. The clamping post 1209 is fixedly installed on the outer side of the right rotating strap 1208. By setting the fitting assembly 12, the main body part is made of flexible and highly elastic medical-grade silicone material, which can adaptively adjust according to the shape, size, and movement characteristics of different joints, ensuring that the sensor 10 always maintains stable contact with the joint surface, thereby obtaining accurate and reliable data. In the key moving parts of the joint, such as the flexion and extension of the knee joint and the rotation area of the wrist joint, a special flexible hinge structure is adopted, which not only allows the device to flex and twist flexibly following the movement of the joint, but also can effectively disperse the stress generated during joint movement, avoiding affecting the wearing comfort or causing data acquisition errors due to excessive local pressure.

[0050] Silicone pads are arranged on the outer sides of both the left rotating strap 1205 and the right rotating strap 1208, and the clamping groove 1206 and the clamping post 1209 are adapted to each other. By setting the silicone pads on the outer sides of both the left rotating strap 1205 and the right rotating strap 1208, it can effectively protect the joints of the legs from frictional damage. At the same time, through the cooperation between the clamping groove 1206 and the clamping post 1209, it is convenient for the left rotating strap 1205 and the right rotating strap 1208 to be disassembled and installed.

[0051] There are two identical sets of fitting components 12, and the two sets of fitting components 12 are symmetrically distributed about the vertical center line of the acquisition component 7. By setting two sets of fitting components 12, the tester's legs are simultaneously fitted. Together with the two sets of acquisition boxes 8, mounting holes 9, sensors 10, and positioning cameras 11, the two sets of sensors 10 and positioning cameras 11 have clear division of labor, respectively collect the dynamics of the tester's legs, improve the accuracy of the data, and ensure the security and reliability of the data.

[0052] Embodiment 2

[0053] A human body joint kinematics dynamic acquisition device and acquisition system, adopting the human body joint kinematics dynamic acquisition device and acquisition system in Embodiment 1, further includes the following steps:

[0054] I. Device wearing and startup:

[0055] Before using the acquisition device, the user first needs to select a device of a suitable model according to the location and size of their own joints. The acquisition device provides a variety of different specifications and sizes to meet the needs of different users;

[0056] After selecting the device, the user gently wears the device on the target joint, ensuring that the flexible fitting structure closely fits the joint surface, and adjusts the fixing belt to a suitable tightness. During the wearing process, pay attention to ensuring the correct position of the sensor 10 and avoid occlusion and deviation;

[0057] After wearing is completed, the user starts the acquisition device through the start button on the device or the supporting mobile application. After the device starts, the internal sensor 10 will perform initialization and calibration operations to ensure the accuracy of the acquired data. The calibration process usually lasts for several seconds. During this period, the user needs to keep the joint stationary;

[0058] II. Data acquisition and transmission:

[0059] When the acquisition device completes calibration and enters the normal working state, the multi-modal sensor 10 array will continuously collect various data of the human body joints during movement, including information such as acceleration, angular velocity, magnetic field strength, and pressure;

[0060] The collected raw data will be immediately transmitted to the real-time data preprocessing unit for processing. The preprocessing unit performs operations such as filtering, noise reduction, fusion, and coordinate transformation on the data according to the preset algorithm, and stores the processed data in the buffer area inside the device;

[0061] The data in the buffer will be transmitted in real time to an external receiving device, such as a smartphone, tablet, or computer, via a high-speed wireless data transmission module. Users can select a suitable receiving device according to their actual needs and receive and display the data through a supporting application or software installed on the device. During the data transmission process, the wireless transmission module will automatically select the best transmission mode (Bluetooth or Wi-Fi) based on the signal strength and transmission environment to ensure the stability and efficiency of data transmission;

[0062] III. Data Analysis and Result Display:

[0063] After the receiving device receives the data, it will transmit it to the data analysis and processing platform for further analysis and processing. The platform will first parse and verify the data to ensure its integrity and accuracy;

[0064] The verified data will be input into pre-trained machine learning and deep learning models for operations such as joint motion pattern recognition, motion parameter calculation, and motion state assessment. The platform will generate a detailed motion report based on the analysis results, including motion pattern classification, motion parameter charts, motion state assessment conclusions, as well as suggestions and warning information;

[0065] The results of the analysis and processing will be presented to the user in an intuitive way through the data visualization module. Users can view the joint motion trajectories shown in 3D animations, the change curves of various motion parameters, and the detailed motion report on a computer monitor, tablet screen, or mobile phone screen. At the same time, users can also perform further analysis and mining on the data through interactive operations, such as viewing the motion data within a specific time period and comparing the parameter differences under different motion states;

[0066] IV. Data Storage and Sharing:

[0067] After completing data processing and result display, the data analysis and processing platform will automatically upload the original data and analysis results to the cloud storage and sharing platform for long-term storage. Users can also manually select to back up or export specific data;

[0068] Users can access and manage their motion data anytime, anywhere by logging in to the web version or mobile application of the cloud storage platform. On the cloud platform, users can classify, label, delete, etc. the data, and can also set the sharing permissions of the data;

[0069] When a user needs to share data with others, they only need to select the data to be shared on the cloud platform and specify the recipient's account or email. The platform will send a sharing invitation to the recipient. After the recipient accepts the invitation, they can access and download the shared data through authorization. Throughout the data sharing process, the cloud platform will strictly follow the permission management and data encryption mechanisms to ensure the security and privacy of the data.

[0070] Working principle: When in use, the staff first checks the environment around the entire device and the status of each part of their own body. If there are any problems, the entire device should be repaired or replaced in a timely manner. After the inspection, before using the acquisition device, the user first needs to select a device of the appropriate model according to the location and size of their joints. The acquisition device provides a variety of different specifications and sizes to meet the needs of different users. After selecting the device, the user gently wears the device on the target joint, ensuring that the flexible fitting structure closely adheres to the joint surface, and adjusts the fixing strap to the appropriate tightness. During the wearing process, it is necessary to ensure that the position of sensor 10 is correct to avoid occlusion and deviation. After wearing is completed, the user starts the acquisition device through the start button on the device or the supporting mobile application. After the device starts, the internal sensor 10 will perform initialization and calibration operations to ensure the accuracy of the acquired data. The calibration process usually lasts for several seconds, during which the user needs to keep the joint stationary. When the acquisition device completes calibration and enters the normal working state, the multi-modal sensor 10 array will continuously collect various data during the movement of the human bone joint, including information such as acceleration, angular velocity, magnetic field strength, and pressure. The acquired raw data will be immediately transmitted to the real-time data preprocessing unit for processing. The preprocessing unit performs operations such as filtering, noise reduction, fusion, and coordinate transformation on the data according to the preset algorithm, and stores the processed data in the buffer area inside the device. The data in the buffer area will be transmitted to an external receiving device, such as a smartphone, tablet, or computer, in real time through the high-speed wireless data transmission module. The user can select an appropriate receiving device according to actual needs and receive and display the data through the supporting application or software installed on the device. During the data transmission process, the wireless transmission module will automatically select the best transmission mode (Bluetooth or Wi-Fi) according to the signal strength and transmission environment to ensure the stability and efficiency of data transmission. After the receiving device receives the data, it transmits the data to the data analysis and processing platform for further analysis and processing. The platform first parses and validates the data to ensure the integrity and accuracy of the data. The verified data will be input into the pre-trained machine learning and deep learning models for operations such as joint movement pattern recognition, movement parameter calculation, and movement state evaluation. The platform will generate a detailed movement report according to the analysis results, including movement pattern classification, movement parameter charts, movement state evaluation conclusions, as well as suggestions and warning information, etc. The results after analysis and processing will be presented to the user in an intuitive way through the data visualization module. The user can view the joint movement trajectory shown in 3D animation, the change curves of various movement parameters, and the detailed movement report through the computer monitor, tablet screen, or mobile phone screen. At the same time, the user can also perform further analysis and mining on the data through interactive operations, such as viewing the movement data within a specific time period and comparing the parameter differences under different movement states. After the data analysis and processing platform completes data processing and result display,It will automatically upload the original data and analysis results to the cloud storage and sharing platform for long-term preservation. Users can also manually select to back up or export specific data; users can access and manage their own exercise data anytime and anywhere by logging in to the web version or mobile application of the cloud storage platform. On the cloud platform, users can classify, tag, delete, etc. the data, and can also set the sharing permissions of the data; when users need to share data with others, they only need to select the data to be shared on the cloud platform and specify the recipient's account or email. The platform will send a sharing invitation to the recipient. After the recipient accepts the invitation, they can access and download the shared data through authorization. Throughout the data sharing process, the cloud platform will strictly follow the permission management and data encryption mechanisms to ensure the security and privacy of the data. In addition, the acquisition device adopts a unique multi-modal sensor 10 array design, integrating an acceleration sensor 10, a gyroscope, a magnetometer, and a pressure sensor 10. The acceleration sensor 10 can accurately measure the acceleration changes of the human bone joints in three-dimensional space, so as to obtain the speed and displacement information of joint movement; the gyroscope focuses on capturing the rotation angle and angular velocity of the joints, which is crucial for analyzing complex movements such as joint torsion and swing; the magnetometer provides a stable direction reference for the sensor 10 by sensing the earth's magnetic field, effectively solving the problem of data drift; the pressure sensors 10 are distributed at the contact parts between the device and the joints, and real-time monitor the pressure changes borne by the joints, which is of great significance for evaluating the stress on the joints and judging whether the movement causes abnormal pressure on the joints. Each sensor 10 is carefully selected and optimized in layout to ensure that it can comprehensively and without dead angles sense the subtle changes of the human bone joints in various motion states. Through advanced microelectromechanical system (MEMS) technology, these sensors 10 are highly integrated in a compact, thin and light module, which not only ensures the miniaturization and portability of the device, but also does not sacrifice its performance. In order to achieve a perfect fit between the acquisition device and the human bone joints, and at the same time minimize the interference to human movement, the device adopts an adaptive fitting and flexible structure design. The main body part is made of flexible and elastic medical-grade silicone material, which can be adaptively adjusted according to the shape, size and movement characteristics of different joints, ensuring that the sensor 10 always maintains stable contact with the joint surface, so as to obtain accurate and reliable data. At the key moving parts of the joints, such as the flexion and extension of the knee joint and the rotation area of the wrist joint, a special flexible hinge structure is adopted. This structure not only allows the device to flex and twist flexibly following the movement of the joint, but also can effectively disperse the stress generated during joint movement, avoiding affecting the wearing comfort or causing data acquisition errors due to excessive local pressure. In addition, the device is equipped with an adjustable fixing strap, which can be adjusted in tightness according to the needs of users, further enhancing the wearing stability and comfort. The acquisition device is built-in with a high-performance real-time data preprocessing unit, which adopts an advanced digital signal processor (DSP) and optimized data processing algorithms.After the sensor 10 acquires the raw data, the preprocessing unit immediately performs a series of processes on the data, including but not limited to operations such as filtering, noise reduction, data fusion, and coordinate transformation. Through digital filtering algorithms, such as the Butterworth filter, high-frequency noise and low-frequency interference can be effectively removed, making the collected data smoother and more accurate. The data fusion algorithm organically integrates the data from different sensors 10, giving full play to the advantages of each sensor 10 and improving the reliability and integrity of the data. For example, using the extended Kalman filter algorithm to fuse the data of the acceleration sensor 10, gyroscope, and magnetometer can accurately estimate the joint posture and motion trajectory. The coordinate transformation algorithm converts the raw data collected by the sensor 10 into data in a unified coordinate system, facilitating subsequent data analysis and processing. The preprocessed data not only greatly reduces the data volume and transmission burden but also improves the data quality and usability, laying a solid foundation for subsequent precise analysis. At the same time, the acquisition system adopts advanced high-speed wireless data transmission technology to ensure that the data obtained by the acquisition device can be transmitted to the host computer for processing in real time and stably. The device is built-in with Bluetooth 5.0 and Wi-Fi dual-mode wireless transmission modules, and users can choose the appropriate transmission method according to the actual usage scenario and requirements. In short-distance, low-power scenarios, such as indoor rehabilitation training or daily activity monitoring, the Bluetooth 5.0 module can provide stable and efficient data transmission. Its transmission speed can reach 2 Mbps, which is sufficient to meet the real-time transmission requirements of multi-sensor 10 data. At the same time, Bluetooth 5.0 has low power consumption and can extend the battery life of the acquisition device. In scenarios that require long-distance transmission or large data volume transmission, such as outdoor sports training or large-scale motion experiments, the Wi-Fi module plays its advantages and can achieve high-speed and stable data transmission. The transmission speed can reach hundreds of Mbps. In addition, to ensure the reliability of data transmission, the wireless transmission module adopts data encryption and error correction technologies to effectively prevent data from being stolen or lost during transmission. The data analysis and processing platform is the core component of the acquisition system. Based on a high-performance computer and professional data analysis software, it can quickly and accurately analyze and process a large amount of bone and joint movement data collected. The platform adopts advanced machine learning and deep learning algorithms, combined with the human kinematics model, to achieve automatic recognition of joint movement patterns, precise calculation of motion parameters, and real-time evaluation of motion states. In terms of joint movement pattern recognition, the platform constructs a high-precision motion pattern classification model through learning and training a large amount of different types of motion data. When receiving real-time collected data, the model can quickly judge the current motion pattern, such as walking, running, jumping, climbing, etc., and further subdivide the stages and characteristics of the motion. In terms of motion parameter calculation, the platform uses complex mathematical algorithms and physical models to accurately calculate key motion parameters such as joint angles, angular velocities, angular accelerations, linear displacements, velocities, and accelerations based on sensor 10 data.These parameters can not only intuitively reflect the motion state of joints, but also provide an important basis for subsequent motion analysis and evaluation. In terms of motion state evaluation, the platform combines the experience of medical experts and clinical standards to comprehensively analyze the calculated motion parameters, evaluate whether the motion is normal, whether there is a potential risk of sports injury, and give corresponding suggestions and warnings. The platform also has a powerful data visualization function, which can present the analyzed and processed data to users in an intuitive and understandable way. Through various forms such as 3D animations, charts, and curves, users can clearly see the motion trajectory of joints, the change trend of motion parameters, and the evaluation results of the motion state. This visual display method not only facilitates users to understand and analyze data, but also provides strong support for medical rehabilitation treatment, sports training guidance, etc. To achieve long-term storage, backup, and cross-platform sharing of data, the acquisition system integrates a cloud storage and sharing platform. After the acquired data is locally analyzed and processed, it will be automatically uploaded to the cloud server for storage. The cloud storage platform adopts distributed storage technology and redundant backup mechanisms to ensure the security and reliability of data. Even if some servers fail, data loss will not occur. Users can access the cloud storage platform anytime and anywhere through the Internet to view and manage their own motion data. At the same time, the platform also provides rich data sharing functions. Users can share data with doctors, coaches, researchers, or other relevant personnel according to their needs. During the data sharing process, the platform adopts strict permission management and data encryption technologies to ensure the security and privacy of data. Only authorized users can access and download the shared data, effectively preventing data leakage. Finally, the cloud storage and sharing platform also has powerful data mining and analysis functions. By mining and analyzing the motion data of a large number of users, potential motion laws, health trends, and population characteristics can be discovered, providing valuable reference bases for medical research, the development of sports science, and public health management.

[0071] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification is only to illustrate the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed.

Claims

1. A human bone joint kinematic dynamics acquisition device, comprising a mounting base 1 (1) and a mounting base 2 (4), characterized in that: A collection seat (2) is fixedly mounted on the top of the installation base (1), and a limiting groove (3) is provided on the outer side of the collection seat (2); a collection seat (5) is fixedly mounted on the top of the installation base (4), and a limiting groove (6) is provided on the outer side of the collection seat (5); a collection component (7) is arranged inside the collection seat (2), and a collection box (8) is fixedly mounted on the outer side of the collection component (7), and a mounting hole (9) is provided on the outer side of the collection box (8); a sensor (10) is fixedly mounted on the top of the collection box (8), and a positioning camera (11) is fixedly mounted on the outer side of the collection box (8); and a fitting component (12) is arranged on the outer side of the installation base (1).

2. A human bone joint kinematics dynamic acquisition device according to claim 1, characterized in that: The size and structure of the mounting base 1 (1), the collection seat 1 (2) and the limiting groove 1 (3) are the same as those of the mounting base 2 (4), the collection seat 2 (5) and the limiting groove 2 (6); the mounting base 1 (1), the collection seat 1 (2) and the limiting groove 1 (3) are symmetrically distributed with respect to the vertical center line of the collection component (7).

3. The device for collecting dynamic data of human bone and joint kinematics according to claim 1, characterized in that: The collection assembly (7) comprises a driving motor (701), a transmission screw (702), a screw seat (703), a moving seat (704), a collection ring (705), an anti-static ring (706), a sliding seat (707) and a slide rail (708). The driving motor (701) is fixedly installed at the bottom of the collection seat (2), the transmission screw (702) is fixedly installed at the output end of the driving motor (701), and the screw seat (703) is fixedly installed at the top of the collection seat (2). The rod seat (703) is meshedly connected with a movable seat (704) on the outer side of the transmission screw rod (702), a collection ring (705) is fixedly installed on the outer side of the movable seat (704), a static electricity removal ring (706) is arranged on the outer side of the collection ring (705), a sliding seat (707) is fixedly installed on the outer side of the collection ring (705), a slide rail (708) is fixedly installed inside the collection seat 2 (5), and the transmission screw rod (702) and the movable seat (704) are adapted to each other.

4. A human bone joint kinematics dynamic acquisition device according to claim 3, characterized in that: The horizontal cross-section of the collection ring (705) is a "semicircular" structure, and the static electricity removal rings (706) are provided in two identical groups, and the two groups of static electricity removal rings (706) are symmetrically distributed about the vertical center line of the collection ring (705).

5. The device for collecting dynamic data of human bone and joint kinematics according to claim 3, characterized in that: The sliding seat (707) and the slide rail (708) are slidably connected, and the moving seat (704) and the sliding seat (707) are located on the same horizontal line.

6. The device for collecting dynamic data of human bone and joint kinematics according to claim 3, characterized in that: The collection box (8) mounting holes (9), sensors (10) and positioning cameras (11) are provided in two identical groups, and the two groups of the collection box (8) mounting holes (9), sensors (10) and positioning cameras (11) are symmetrically distributed about the vertical center line of the collection ring (705).

7. The device for collecting dynamic data of human bone and joint kinematics according to claim 1, characterized in that: The fitting assembly (12) comprises a fitting seat (1201), a receiver (1202), a joint pad (1203), a fixed axis (1204), a left rotating strap (1205), a clamping groove (1206), a fixed axis (1207), a right rotating strap (1208) and a clamping column (1209), wherein the fitting seat (1201) is arranged on the outer side of the mounting base (1), the receiver (1202) is fixedly mounted on the outer side of the fitting seat (1201), and the joint pad (1203) is arranged on the outer side of the receiver (1202). 3), a fixed axis 1 (1204) is fixedly installed on the outer side of the fitting seat (1201), a left rotating strap (1205) is rotatably installed on the outer side of the fixed axis 1 (1204), a snap-in groove (1206) is provided on the outer side of the left rotating strap (1205), a fixed axis 2 (1207) is fixedly installed on the outer side of the fitting seat (1201), a right rotating strap (1208) is rotatably installed on the outer side of the fixed axis 2 (1207), and a snap-in column (1209) is fixedly installed on the outer side of the right rotating strap (1208).

8. The device for collecting dynamic data of human bone and joint kinematics according to claim 7, characterized in that: The outer sides of the left rotating strap (1205) and the right rotating strap (1208) are both provided with silicone pads, and the clamping groove (1206) and the clamping column (1209) are adapted to each other.

9. The device for collecting dynamic data of human bone and joint kinematics according to claim 7, characterized in that: The fitting components (12) are provided in two identical groups, and the two groups of the fitting components (12) are symmetrically distributed with respect to the vertical center line of the collecting component (7).

10. A human bone joint kinematics dynamic acquisition system, characterized by: The device for collecting dynamic kinematics of human bone joints according to any one of claims 1 to 9 further comprises the following steps:

1. Wearing and activating the device Before using the acquisition device, the user first needs to select the appropriate model of device according to the location and size of their joints. The acquisition device provides a variety of different specifications and sizes to meet the needs of different users; After selecting the device, the user gently wears the device on the target joint, ensuring that the flexible fitting structure fits the joint surface tightly and the fixing strap is adjusted to the appropriate tightness. During the wearing process, attention should be paid to ensure that the sensor is positioned correctly to avoid occlusion and deviation; After wearing, the user starts the collection device through the start button on the device or the accompanying mobile application. After the device is started, the internal sensor will be initialized and calibrated to ensure the accuracy of the collected data. The calibration process usually takes several seconds, during which the user needs to keep the joints still; 2. Data Collection and Transmission When the acquisition device completes calibration and enters normal working state, the multimodal sensor array will collect various data of human bones and joints in real time during movement, including acceleration, angular velocity, magnetic field strength, pressure and other information; The collected raw data will be immediately transmitted to the real-time data preprocessing unit for processing. The preprocessing unit will filter, reduce noise, fuse and transform the data according to the preset algorithm, and store the processed data in the buffer area inside the device; The data in the buffer area will be transmitted in real time to an external receiving device, such as a smartphone, tablet or computer, through a high-speed wireless data transmission module. Users can select a suitable receiving device according to actual needs, and receive and display data through the supporting application or software installed on the device. During the data transmission process, the wireless transmission module will automatically select the best transmission mode (Bluetooth or Wi-Fi) according to the signal strength and transmission environment to ensure the stability and efficiency of data transmission; 3. Data Analysis and Results Presentation After receiving the data, the receiving device transmits it to the data analysis and processing platform for further analysis and processing. The platform first parses and verifies the data to ensure its integrity and accuracy; The verified data will be input into pre-trained machine learning and deep learning models to perform operations such as joint movement pattern recognition, movement parameter calculation and movement status evaluation. The platform will generate a detailed movement report based on the analysis results, including movement pattern classification, movement parameter charts, movement status evaluation conclusions, and suggestions and warning information. The results of the analysis and processing will be presented to the user in an intuitive way through the data visualization module. The user can view the joint motion trajectory, the change curves of various motion parameters and the detailed motion report displayed in 3D animation through the computer monitor, tablet screen or mobile phone screen. At the same time, the user can also further analyze and mine the data through interactive operations, such as viewing the motion data in a specific time period, comparing the parameter differences under different motion states, etc.

4. Data storage and sharing After completing data processing and result display, the data analysis and processing platform will automatically upload the original data and analysis results to the cloud storage and sharing platform for long-term preservation. Users can also manually choose to back up or export specific data; Users can access and manage their sports data anytime and anywhere by logging into the web page or mobile application of the cloud storage platform. On the cloud platform, users can classify, mark, delete and set data sharing permissions. When users need to share data with others, they only need to select the data to be shared on the cloud platform and specify the recipient's account or email address. The platform will send a sharing invitation to the recipient. After the recipient accepts the invitation, he or she can access and download the shared data through authorization. During the entire data sharing process, the cloud platform will strictly follow the permission management and data encryption mechanism to ensure the security and privacy of the data.

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