Grip strength intelligent monitoring system, method, equipment, media and program products
By combining a force acquisition module, a signal conditioning circuit, an analog-to-digital conversion module, a calibration module, and a wireless communication module, the problems of low measurement accuracy and non-real-time data transmission of the grip strength meter are solved, achieving low-latency, real-time grip strength monitoring and evaluation.
Patent Information
- Application Number
- CN202610397030.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-30
- Publication Date
- 2026-06-02
AI Technical Summary
Existing hand grip strength testers suffer from low measurement accuracy, inability to transmit data in real time, high power consumption and poor adaptability of wireless transmission solutions, making it impossible to achieve accurate measurement, real-time transmission and systematic training management.
By combining a force acquisition module, a signal conditioning circuit, an analog-to-digital conversion module, a calibration module, a control module, and a wireless communication module, the system achieves accurate acquisition, processing, and low-latency transmission of grip force signals, which are then sent to the terminal device in real time via low-power Bluetooth communication.
It improves the accuracy and real-time performance of grip force measurement, realizes a real-time closed loop from grip force application to monitoring result presentation, ensures the continuity and real-time performance of data transmission, and reduces measurement errors caused by sensor errors and individual differences.
Smart Images

Figure CN122123704A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of information monitoring technology, specifically to a grip strength intelligent monitoring system, method, device, medium, and program product. Background Technology
[0002] Currently, the most common hand grippers on the market are mainly of two types: mechanical pointer type and basic electronic display type. The traditional mechanical pointer type hand gripper works by using spring deformation to drive the pointer to rotate. It can only display the value by sight, which has low accuracy and cannot record data. Although the basic electronic display type hand gripper can display the force value in real time, it cannot transmit data. It can only be displayed on the local machine and lacks data export and real-time synchronization functions. It cannot meet the needs of training data traceability, statistical analysis, remote viewing, etc.
[0003] The current technology has two major flaws: 1) The force data collected is not accurate enough. Factors such as hand tremors and differences in the duration of force application may affect the measurement of peak grip strength. The force data can only be displayed on the local machine and cannot be transmitted to the data source. Users cannot effectively utilize the data and cannot achieve systematic training management. 2) Existing wireless transmission solutions such as infrared and WIFI have obvious problems, such as poor adaptability and high energy consumption, which prevent long-term operation. No efficient data transmission solution for grip strength devices has been developed.
[0004] Therefore, there is a need for an intelligent grip force monitoring system that can accurately and effectively measure grip force, convert force values into electrical signals in real time, and transmit them to a computer in a low-power, high-stability manner.
[0005] The content in the background section merely discloses technology known only to the inventors and is not intended to represent prior art in the field. Summary of the Invention
[0006] This application aims to provide a grip strength intelligent monitoring system, method, device, medium, and program product to solve at least one problem existing in the prior art.
[0007] According to a first aspect of this application, a grip strength intelligent monitoring system is provided, comprising: Grip; The force acquisition module is located in the core force-receiving area of the gripper and is used to convert the gripping force applied by the target object to the gripper into a corresponding analog electrical signal. The signal conditioning circuit is electrically connected to the force acquisition module and is configured to amplify and filter the analog electrical signal before inputting it to the analog-to-digital conversion module. An analog-to-digital conversion module, electrically connected to the signal conditioning circuit, is configured to convert analog electrical signals into digital force signals. The calibration module is electrically connected to the analog-to-digital conversion module and is configured to perform calibration processing on the digital force signal to obtain the digital force signal corresponding to the peak grip force value for each grip force action. The control module, electrically connected to the calibration module, is configured to perform data parsing, calibration compensation, and format encapsulation of digital force signals on the grip strength unit itself, generating force data frames for wireless transmission to reduce dependence on external devices and avoid additional latency introduced by multiple interactions; it filters key force data related to grip strength assessment, encapsulates and sends it, and reduces the transmission load of the wireless link by controlling the length of a single data frame and the transmission cycle, thereby shortening the processing latency from data acquisition to transmission, achieving continuous, low-latency transmission of force data, and avoiding display lag caused by wireless link congestion or batch transmission; and it controls the sampling timing of the analog-to-digital conversion module. The wireless communication module is electrically connected to the control module and is configured to receive the force value data frame and transmit the force value data to an external terminal device in real time according to a preset communication protocol. The transmission timing and data update frequency of the wireless communication module are uniformly scheduled by the control module to ensure the continuity and real-time performance of data transmission. The terminal device is configured to decode and display the force value data immediately after receiving it, thereby realizing the real-time presentation of the grip force value and its changing trend; The terminal device can also send control commands to the control module via the wireless communication module to trigger calibration procedures, parameter updates, or test mode switching.
[0008] In some embodiments, the force acquisition module includes a force sensor, which acquires force signals at a preset sampling frequency.
[0009] In some embodiments, the wireless communication module adopts low-power Bluetooth communication and achieves low-latency data transmission while ensuring controllable power consumption by optimizing connection parameters and data transmission strategies; the data transmission latency of the wireless transmission module is controlled within a preset time range to meet the requirements of real-time grip strength display.
[0010] In some embodiments, a calibration module is further included, configured to generate calibration parameters, which are used to correct or compensate digital force data after the analog-to-digital conversion module converts the analog electrical signal into a digital force signal; the calibration parameters are stored in the parameter storage area of the control module.
[0011] In some embodiments, the calibration parameters include zero-point offset correction parameters obtained based on unloaded reference values and error compensation parameters obtained based on reference force data. The unloaded reference value is the unloaded force data collected under no external force, and the reference force data consists of multiple preset sets of known force data. By collecting sensor force data corresponding to the known force data, error compensation parameters are obtained between the collected sensor force data and the reference force value. The error compensation parameters include linear compensation parameters and nonlinear compensation parameters obtained based on the known force data.
[0012] In some embodiments, the calibration process includes: S1 performs time-series analysis on continuously acquired digital force signals to identify complete signal segments corresponding to a single gripping action; S2, In the signal segment, identify the equilibrium segment located at the top of the wave crest, which corresponds to the brief holding phase of the target object under maximum force. S3, the data points corresponding to the balance segment are filtered out or their weights are reduced, and only the rising and falling segment signals on both sides of the peak are retained to calculate the peak grip force corresponding to a grip force action, which is used as the effective measurement result of the grip force value.
[0013] According to a second aspect of this application, a grip strength intelligent monitoring method is provided, comprising: Collect grip force data of the target object; the force acquisition module is set in the core force-receiving area of the gripper to convert the grip force applied by the target object into a corresponding analog electrical signal; The analog electrical signal is amplified and filtered. The amplified and filtered analog electrical signal is converted into a digital force signal; The digital force signal is calibrated to obtain the digital force signal corresponding to the peak grip force value for each grip force action; The grip strength sensor performs data parsing, calibration compensation, and format encapsulation on the digital force value signal to generate force value data frames for wireless transmission, thereby reducing dependence on external devices and avoiding additional latency introduced by multiple interactions. It also selects key force value data related to grip strength assessment, encapsulates and sends them, and controls the transmission load of the wireless link by controlling the length of a single data frame and the transmission cycle, thereby shortening the processing latency from data acquisition to transmission, realizing continuous, low-latency transmission of force value data, and avoiding display lag caused by wireless link congestion or batch transmission. The force data is transmitted to an external terminal device in real time according to a preset communication protocol; the transmission timing and data update frequency of the force data frame are uniformly scheduled to ensure the continuity and real-time nature of data transmission. After receiving the force data, the terminal device immediately decodes and displays it, thereby realizing the real-time presentation of the grip strength value and its changing trend.
[0014] According to a third aspect of this application, an electronic device is provided, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the method described in any of the above embodiments.
[0015] According to a fourth aspect of this application, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the method described in any one of the above embodiments.
[0016] According to a fifth aspect of this application, a program product is provided, comprising a computer program, wherein the computer program, when executed by a processor, implements any of the methods described in the above embodiments.
[0017] Based on the above embodiments of this application, the beneficial effects of this application include one or more of the following effects in combination: In summary, the embodiments of this application include a calibration module electrically connected to the analog-to-digital conversion module, configured to calibrate the digital force signal, obtain the digital force signal corresponding to the peak grip force value for each grip force action, and perform calibration processing on the digital force data based on the calibration module, which can effectively reduce the impact of factors such as hand tremors and differences in force holding time on the calculation of peak grip force, improve the repeatability and reliability of grip force measurement results, and make the grip force measurement results more accurate; The control module, electrically connected to the calibration module, is configured to perform data parsing, calibration compensation, and format encapsulation of digital force signals on the grip strength unit itself, generating force data frames for wireless transmission. This reduces reliance on external devices and avoids additional latency introduced by multiple interactions. Key force data related to grip strength assessment is selected, encapsulated, and sent. By controlling the length of each data frame and the transmission cycle, the transmission load of the wireless link is reduced, thereby shortening the processing latency from data acquisition to transmission. This achieves continuous, low-latency transmission of force data, avoiding display lag caused by wireless link congestion or batch transmission. The module also controls the sampling timing of the analog-to-digital conversion module. The wireless communication module is electrically connected to the control module and configured to receive the force value data frames and transmit the force value data to an external terminal device in real time according to a preset communication protocol. The transmission timing and data update frequency of the wireless communication module are uniformly scheduled by the control module to ensure the continuity and real-time performance of data transmission. The terminal device is configured to decode and display the force data immediately after receiving it, thereby realizing the real-time presentation of the grip force value and its changing trend; that is, on the terminal device side, the received force data is decoded and used for real-time display, historical record, and subsequent evaluation and analysis. Through the coordinated operation of the above modules, the accuracy and real-time performance of grip strength monitoring are ensured. Furthermore, the calibration module is configured to generate calibration parameters, which are used to correct or compensate for the digital force data after the analog-to-digital conversion module converts the analog electrical signal into a digital force signal; the calibration parameters are stored in the parameter storage area of the control module; through the calibration module and specific calibration scheme, the measurement errors caused by sensor zero drift, individual differences and long-term use can be effectively reduced, thereby improving the accuracy, stability and repeatability of grip strength assessment results; This application embodiment achieves a real-time closed loop from the application of grip force to the presentation of monitoring results through the coordinated optimization of the above modules in data acquisition, processing, transmission and display. Compared with the existing grip force detection schemes that only focus on the performance of a single module, it effectively improves the accuracy of grip force monitoring and the real-time transmission, which helps to improve the accuracy of grip force assessment. Attached Figure Description
[0018] The embodiments of this application are described in detail below with reference to the accompanying drawings. These drawings, which form part of this application, are used to provide a further understanding of the application. The illustrative embodiments and descriptions of this application are used to explain the application and do not constitute an undue limitation of the application. In the drawings: Figure 1 An exemplary block diagram of a grip strength intelligent monitoring system according to an example embodiment of this application is shown; Figure 2 An exemplary flowchart of a grip strength intelligent monitoring system according to an example embodiment of this application is shown. Detailed Implementation
[0019] In the following description, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments can be modified in various ways without departing from the spirit or scope of this application. Therefore, the drawings and description are considered to be exemplary in nature and not restrictive.
[0020] In the description of this application, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," and "counterclockwise," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application. Furthermore, the terms "first" and "second" are used only for description and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more similar features. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.
[0021] In the description of this application, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linkage" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection, an electrical connection, or a communication connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.
[0022] In this application, unless otherwise expressly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature being directly above or diagonally above the second feature, or simply indicates that the relative height of the first feature in a certain dimension is higher than that of the second feature. "Below," "below," and "under" the second feature includes the first feature being directly above or diagonally above the second feature, or simply indicates that the relative position of the first feature in a certain dimension is smaller than that of the second feature.
[0023] Different embodiments or examples are provided below to implement different structures of this application. To simplify this application, the components and arrangements of specific examples are described below. Of course, these are merely examples and are not intended to limit this application. Reference numerals may be repeated in different examples; such repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements described. Furthermore, this application provides examples of various specific processes and materials, but those skilled in the art can apply other processes and / or substitute other materials based on the teachings of this application.
[0024] The following description, with reference to the accompanying drawings, illustrates some preferred embodiments of the present application. It should be noted that the following description is for illustrative purposes only and is not intended to limit the scope of protection of this application.
[0025] Figure 1 This is an exemplary block diagram of a grip strength intelligent monitoring system according to some embodiments of this application. See also: Figure 1 The intelligent grip strength monitoring system 100 may include a grip strength sensor 110, a force value acquisition module 120, a signal conditioning circuit 130, an analog-to-digital conversion module 140, a calibration module 150, a control module 160, a wireless communication module 170, and a terminal device 180. Detailed descriptions are provided below.
[0026] In some specific embodiments, the grip strengthener 110 adopts a conventional grip strengthener, which is described in detail in the prior art.
[0027] The force acquisition module 120 is located in the core force-receiving area of the gripper and is used to convert the gripping force applied by the target object to the gripper into a corresponding analog electrical signal.
[0028] In some specific embodiments, the analog electrical signal is an analog voltage signal.
[0029] In some specific embodiments, the force acquisition module 120 includes a force sensor, which acquires force signals at a preset sampling frequency.
[0030] Specifically, the force acquisition module 120 can use a strain gauge force sensor, preferably a columnar elastomer structure sensor, and place the sensor in the core force-bearing area of the gripper (such as the connection between the handle and the elastic pressure component) to ensure that the user's external force acts directly on the sensor elastomer, which is used to convert the grip force applied by the user into a corresponding analog electrical signal.
[0031] Furthermore, the electrical signal conversion principle of the grip strength device is as follows: when the user grips the grip strength device, the external force causes the sensor elastic body to undergo slight deformation, and the metal foil strain gauge attached to the surface of the elastic body will generate a change in resistance. The change in resistance is converted into a linear voltage signal through a Wheatstone bridge, and this voltage signal is proportional to the grip strength value.
[0032] The signal conditioning circuit 130 is electrically connected to the force acquisition module and is configured to amplify and filter the analog electrical signal before inputting it to the analog-to-digital conversion module.
[0033] In some specific embodiments, the analog electrical signal is amplified and filtered. For details, please refer to the prior art, which will not be elaborated here.
[0034] The analog-to-digital conversion module 140 is electrically connected to the signal conditioning circuit and is configured to convert analog electrical signals into digital force signals.
[0035] In some specific embodiments, the analog-to-digital conversion module can refer to the existing technology, and will not be described in detail here.
[0036] The calibration module 150 is electrically connected to the analog-to-digital conversion module and is configured to perform calibration processing on the digital force value signal to obtain the digital force value signal corresponding to the peak grip force value for each grip force action.
[0037] In some specific embodiments, during a complete grip force movement, the force signal output by the sensor exhibits a peak-shaped curve that rises and then falls over time, with its overall shape approximating a parabolic distribution. The peak grip force is calculated as the output grip force measurement result. To improve the stability and accuracy of the peak grip force calculation, the acquired digital force signal undergoes calibration processing. The calibration processing includes: S1 performs time-series analysis on continuously acquired digital force signals to identify complete signal segments corresponding to a single gripping action; S2, In the signal segment, identify the equilibrium segment located at the top of the wave crest, which corresponds to the brief holding phase of the target object under maximum force. S3, the data points corresponding to the balance segment are filtered out or their weights are reduced, and only the rising and falling segment signals on both sides of the peak are retained to calculate the peak grip force corresponding to a grip force action, which is used as the effective measurement result of the grip force value.
[0038] The embodiments of this application, through the above-described calibration process, can effectively reduce the impact of factors such as hand tremors and differences in the duration of force application on the calculation of peak grip strength, improve the repeatability and reliability of grip strength measurement results, and make the grip strength measurement results more accurate.
[0039] In this embodiment of the application, the analog voltage signal acquired by the force acquisition module is converted into a digital signal by the analog-to-digital converter (ADC) module. After being processed by the calibration module, the current grip force value can be displayed on the screen in real time.
[0040] The control module 160, electrically connected to the calibration module, is configured to perform data parsing, calibration compensation, and format encapsulation of digital force signals on the grip strength unit itself, generating force data frames for wireless transmission to reduce dependence on external devices and avoid additional delays introduced by multiple interactions; it filters key force data related to grip strength assessment, encapsulates and sends it, and reduces the transmission load of the wireless link by controlling the length of a single data frame and the transmission period, thereby shortening the processing delay from data acquisition to transmission, achieving continuous, low-latency transmission of force data, and avoiding display lag caused by wireless link congestion or batch transmission; and it controls the sampling timing of the analog-to-digital conversion module.
[0041] In some specific embodiments, the control module controls the force sensor to collect force signals at a preset sampling frequency.
[0042] Furthermore, the control module sends the force data to be transmitted to the wireless communication module via a serial interface or internal bus.
[0043] Specifically, in the data acquisition and processing stage, the control module acquires force signals at a preset sampling frequency and performs necessary data parsing, calibration compensation, and format encapsulation locally to reduce dependence on external devices and avoid additional delays introduced by multiple interactions. In the data organization and transmission stage, the control module only encapsulates and transmits key force data related to the current grip strength assessment. By controlling the length of a single data frame and the transmission cycle, the transmission load of the wireless link is reduced, thereby shortening the processing delay from data acquisition to transmission.
[0044] The embodiments of this application ensure the stability, real-time performance, and controllability of the force value monitoring and evaluation process through the multi-module collaborative working mechanism with the control module as the core.
[0045] The wireless communication module 170 is electrically connected to the control module and is configured to receive the force value data frame and send the force value data to an external terminal device in real time according to a preset communication protocol. The transmission timing and data update frequency of the wireless communication module are uniformly scheduled by the control module to ensure the continuity and real-time performance of data transmission.
[0046] Specifically, the control module sends the force value data frame to the wireless communication module, and the wireless communication module sends the force value data to the external terminal device in real time according to the preset communication protocol.
[0047] In some specific embodiments, the wireless communication module adopts low-power Bluetooth communication to balance real-time performance and power consumption control requirements; and by optimizing connection parameters and data transmission strategies, low-latency data transmission is achieved while ensuring controllable power consumption; the data transmission latency of the wireless transmission module is controlled within a preset time range to meet the requirements for real-time grip strength display.
[0048] In one embodiment, the data transmission delay is controlled within a preset time range to meet the needs of real-time display and evaluation of grip strength.
[0049] The wireless communication module in this embodiment employs Bluetooth Low Energy communication and achieves continuous, low-latency transmission of force data by controlling the data frame length and transmission rhythm, avoiding display lag caused by wireless link congestion or batch transmission. By optimizing connection parameters and data transmission strategies, low-latency data transmission is achieved while ensuring controllable power consumption.
[0050] The terminal device 180 is configured to decode and display the force value data immediately after receiving it, thereby realizing the real-time presentation of the grip force value and its changing trend.
[0051] Specifically, the terminal device can also send control commands to the control module via the wireless communication module to trigger calibration procedures, parameter updates, or test mode switching.
[0052] In some specific embodiments, the display and evaluation module of the terminal device can present the current grip strength value and its trend without waiting for the test to complete, and simultaneously support data storage and subsequent evaluation and analysis. The decoded grip strength value is used for functions such as real-time display, historical data recording, curve plotting, and evaluation and analysis.
[0053] In some specific embodiments, a calibration module 190 is also included, configured to generate calibration parameters, which are used to correct or compensate for digital force data after the analog-to-digital conversion module converts the analog electrical signal into a digital force signal; the calibration parameters are stored in the parameter storage area of the control module.
[0054] Specifically, the calibration parameters include zero-point offset correction parameters obtained based on unloaded reference values and error compensation parameters obtained based on reference force data. The unloaded reference value is the unloaded force data collected under no external force, and the reference force data consists of multiple preset sets of known force data. By collecting sensor force data corresponding to the known force data, error compensation parameters between the collected sensor force data and the reference force value are obtained. The error compensation parameters include linear compensation parameters and nonlinear compensation parameters obtained based on the known force data.
[0055] Furthermore, the calibration procedure for calibration module 190 includes the following steps: S1), Calibration Trigger: The system enters calibration mode when the hand gripper is used for the first time, when the environment changes, or when the user actively triggers a calibration command.
[0056] S2) Unloaded reference value data acquisition: When the user does not apply grip force, the digital signal output by the force sensor is collected as a no-load reference value to eliminate the influence of sensor zero-point offset and environmental noise.
[0057] Specifically, when the device is powered on or within a preset time interval, the sensor output signal under no external force is detected, and the zero-point offset is corrected to eliminate baseline drift caused by residual deformation of the elastomer or environmental changes.
[0058] S3) Preset reference force value data, and obtain error compensation parameters based on the reference force value data: The preset reference force data includes the user applying a known reference grip force according to the terminal software prompts, or performing a standardized grip action according to the preset reference force data; the system collects multiple sets of force data within a preset time window, and performs average or statistical processing on the data to obtain error compensation parameters.
[0059] In some specific examples, when the device leaves the factory or is used for the first time, at least two different standard force values are applied to the gripper as reference force values, and corresponding sensor data is collected. The data is averaged or statistically processed to obtain error compensation parameters, such as establishing a mapping relationship between the sensor output signal and the actual grip force value, and obtaining the linear error and nonlinear error in the sensor data based on the deformation characteristics of the gripper elastomer.
[0060] S4) Calibration parameter generation: By integrating the unloaded reference value and error compensation parameters, calibration parameters are obtained for subsequent grip strength assessment. These calibration parameters are used to proportionally correct or offset the original force value data.
[0061] S5), Parameter Storage and Application: The generated calibration parameters are stored in the parameter storage area of the control module and automatically recalled during subsequent grip strength data processing and evaluation, without requiring repeated user intervention.
[0062] In this embodiment, the corrected real-time grip strength value is obtained through the aforementioned calibration module and specific calibration scheme to improve measurement stability and consistency during long-term use; and is displayed in real time on the display screen. The aforementioned calibration module and specific calibration scheme effectively reduce measurement errors caused by sensor drift, individual differences, and long-term use, thereby improving the accuracy, stability, and repeatability of grip strength assessment results.
[0063] In summary, the embodiments of this application calibrate digital force data based on the calibration module, which can effectively reduce the impact of factors such as hand tremors and differences in the duration of force application on the calculation of peak grip strength, improve the repeatability and reliability of grip strength measurement results, and make grip strength measurement results more accurate. The control module performs data parsing, calibration compensation, and format encapsulation of digital force signals on the grip strength unit itself to generate force data frames for wireless transmission. This reduces reliance on external devices and avoids additional latency introduced by multiple interactions. Key force data related to grip strength assessment is selected, encapsulated, and sent. By controlling the length of each data frame and the transmission cycle, the transmission load on the wireless link is reduced, thereby shortening the processing latency from data acquisition to transmission. This enables continuous, low-latency transmission of force data and avoids display lag caused by wireless link congestion or batch transmission. The module also controls the sampling timing of the analog-to-digital conversion module. The wireless communication module operates under the control of the control module and is used to send the force value data to an external terminal device according to a preset communication protocol. The transmission timing and data update frequency of the wireless communication module are uniformly scheduled by the control module to ensure the continuity and real-time performance of data transmission. On the terminal device side, the received force data is decoded and used for real-time display, historical record, and subsequent evaluation and analysis; Through the above-mentioned multi-stage collaborative real-time guarantee scheme, real-time transmission and display of force data can be achieved in grip strength monitoring, effectively avoiding the problem of evaluation distortion caused by data delay; Through calibration modules and specific calibration schemes, measurement errors caused by sensor drift, individual differences, and long-term use can be effectively reduced, thereby improving the accuracy, stability, and repeatability of grip strength assessment results. Through the coordinated optimization of the above modules in data acquisition, processing, transmission and display, a real-time closed loop from the application of grip force to the presentation of monitoring results is achieved. Compared with the existing grip force detection schemes that only focus on the performance of a single module, this effectively improves the accuracy of grip force monitoring and the real-time transmission, and helps to improve the accuracy of grip force assessment.
[0064] This application provides a grip strength intelligent monitoring method 200 in some embodiments. The grip strength intelligent monitoring method 200 in this application includes: Step S1: Collect grip force data of the target object; The force acquisition module is set in the core force-receiving area of the gripper and is used to convert the grip force applied by the target object to the gripper into a corresponding analog electrical signal; Step S2: Amplify and filter the analog electrical signal; Step S3: Convert the amplified and filtered analog electrical signal into a digital force signal; Step S4: Calibrate the digital force signal to obtain the digital force signal corresponding to the peak grip force value for each grip force action; Step S5: The digital force signal is parsed, calibrated, compensated, and formatted on the grip strength unit to generate a force data frame for wireless transmission. This reduces reliance on external devices and avoids additional delays caused by multiple interactions. Key force data related to grip strength assessment is selected, encapsulated, and sent. By controlling the length of each data frame and the transmission cycle, the transmission load of the wireless link is reduced, thereby shortening the processing delay from data acquisition to transmission. This achieves continuous, low-latency transmission of force data and avoids display lag caused by wireless link congestion or batch transmission. Step S6: The force value data is sent to the external terminal device in real time according to the preset communication protocol; the transmission timing of the force value data frame is uniformly scheduled with the data update frequency to ensure the continuity and real-time performance of data transmission. Step S7: After receiving the force value data, the terminal device immediately decodes and displays it, thereby realizing the real-time presentation of the grip force value and its changing trend.
[0065] In the embodiments of this application, the grip strength intelligent monitoring method can selectively incorporate features of the grip strength intelligent monitoring system, and vice versa.
[0066] In summary, by calibrating the digital force data, the embodiments of this application can effectively reduce the impact of factors such as hand tremors and differences in the duration of force application on the calculation of peak grip strength, improve the repeatability and reliability of grip strength measurement results, and make the grip strength measurement results more accurate. By parsing, calibrating, compensating, and encapsulating the digital force signal on the grip strength unit itself, force data frames for wireless transmission are generated to reduce dependence on external devices and avoid additional delays introduced by multiple interactions. Key force data related to grip strength assessment are selected, encapsulated, and sent. By controlling the length of a single data frame and the transmission cycle, the transmission load of the wireless link is reduced, thereby shortening the processing latency from data acquisition to transmission. This enables continuous, low-latency transmission of force data and avoids display lag caused by wireless link congestion or batch transmission. The force data is sent to an external terminal device according to a preset communication protocol; the sending timing and data update frequency are uniformly scheduled by the control module to ensure the continuity and real-time nature of data transmission. The received force data is decoded and used for real-time display, historical recording, and subsequent evaluation and analysis. Through the coordinated optimization of the above modules in data acquisition, processing, transmission and display, a real-time closed loop from the application of grip force to the presentation of monitoring results is achieved. Compared with the existing grip force detection schemes that only focus on the performance of a single module, this effectively improves the accuracy of grip force monitoring and the real-time transmission, and helps to improve the accuracy of grip force assessment.
[0067] In some embodiments, this application also provides an electronic device that may include a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, can implement the method described in any of the above embodiments.
[0068] In some embodiments, this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method described in any one of the above embodiments. The computer program includes various program modules / units constituting the apparatus according to embodiments of this application. When the computer program, composed of these program modules / units, is executed, it can perform functions corresponding to the steps of the methods described in the above embodiments. The computer program can also run on electronic devices as described in embodiments of this application.
[0069] Although not shown, some embodiments also provide a program product including a computer program, wherein the computer program, when executed by a processor, implements the method described in any of the above embodiments.
[0070] The basic concepts have been described herein. It is obvious that the detailed disclosure above is merely illustrative and does not constitute a limitation of this application. Although not explicitly stated herein, various modifications, improvements, and corrections may be made to this application by those skilled in the art. Such modifications, improvements, and corrections are suggested in this application and therefore remain within the spirit and scope of the exemplary embodiments of this application.
[0071] Furthermore, this application uses specific terms to describe its embodiments. For example, "an embodiment," "one embodiment," and / or "some embodiments" refer to a particular feature, structure, or characteristic related to at least one embodiment of this application. Therefore, it should be emphasized and noted that "an embodiment," "one embodiment," or "an alternative embodiment" mentioned twice or more in different locations in this application do not necessarily refer to the same embodiment. In addition, certain features, structures, or characteristics in one or more embodiments of this application can be appropriately combined.
[0072] Furthermore, those skilled in the art will understand that aspects of this application can be described and illustrated through several patentable types or situations, including any new and useful combination of processes, machines, products, or substances, or any new and useful improvements thereof. Accordingly, aspects of this application can be implemented entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. All of the above hardware or software may be referred to as a “data block,” “module,” “engine,” “unit,” “component,” or “system.” Furthermore, aspects of this application may manifest as a computer product located on one or more computer-readable media, the product including computer-readable program code.
[0073] Computer storage media may contain a propagated data signal containing computer program code, for example, on baseband or as part of a carrier wave. This propagated signal may take various forms, including electromagnetic, optical, and suitable combinations thereof. Computer storage media can be any computer-readable medium other than a computer-readable storage medium, which can be connected to an instruction execution system, apparatus, or device to enable communication, propagation, or transmission of a program for use. The program code located on the computer storage medium can be propagated through any suitable medium, including radio, cable, fiber optic cable, RF, or similar media, or any combination of the above media.
[0074] The computer program code required for the operation of each part of this application can be written in any one or more programming languages, including object-oriented programming languages such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C++, C#, VB.NET, Python, etc., conventional procedural programming languages such as C, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, dynamic programming languages such as Python, Ruby, and Groovy, or other programming languages. This program code can run entirely on the user's computer, or as a standalone software package on the user's computer, or partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the latter case, the remote computer can be connected to the user's computer through any network, such as a local area network (LAN) or wide area network (WAN), or connected to an external computer (e.g., via the Internet), or in a cloud computing environment, or used as a service such as Software as a Service (SaaS).
[0075] Furthermore, unless expressly stated in the claims, the order of processing elements and sequences, the use of numbers and letters, or other names described in this application are not intended to limit the order of the processes and methods of this application. Although the foregoing disclosure has discussed some currently considered useful embodiments of the invention through various examples, it should be understood that such details are for illustrative purposes only, and the appended claims are not limited to the disclosed embodiments; rather, the claims are intended to cover all modifications and equivalent combinations that conform to the substance and scope of the embodiments of this application. For example, while the system components described above can be implemented using hardware devices, they can also be implemented solely through software solutions, such as installing the described system on existing servers or mobile devices.
[0076] Similarly, it should be noted that, in order to simplify the description of the present application and thus aid in the understanding of one or more embodiments of the invention, the foregoing description of the embodiments of the present application sometimes combines multiple features into a single embodiment, drawing, or description thereof. However, this disclosure method does not imply that the subject matter of the application requires more features than those mentioned in the claims. In fact, the embodiments contain fewer features than all the features of the single embodiments disclosed above.
[0077] In some embodiments, numbers describing the quantity of components and attributes are used. It should be understood that such numbers used in the description of embodiments are modified in some examples with the terms "approximately," "approximately," or "generally." Unless otherwise stated, "approximately," "approximately," or "generally" indicates that the numbers are allowed to vary by ±20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, which may be changed depending on the characteristics required by individual embodiments. In some embodiments, numerical parameters should take into account specified significant digits and employ a general method of digit reservation. Although the numerical ranges and parameters used to confirm their breadth of scope in some embodiments of this application are approximate values, in specific embodiments, such values are set as precisely as feasible.
[0078] For each patent, patent application, patent application publication, and other material such as articles, books, specifications, publications, and documents referenced in this application, the entire contents of that material are incorporated herein by reference. This excludes historical application documents that are inconsistent with or conflict with the content of this application, as well as documents that limit the broadest scope of the claims in this application (currently or subsequently appended to this application). It should be noted that if there is any inconsistency or conflict between the descriptions, definitions, and / or terminology used in the supplementary materials of this application and the content of this application, the descriptions, definitions, and / or terminology used in this application shall prevail.
[0079] Finally, it should be noted that the above descriptions are merely exemplary embodiments of this application and are not intended to limit this application. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.
Claims
1. A grip strength intelligent monitoring system, characterized in that, include: Grip; The force acquisition module is located in the core force-receiving area of the gripper and is used to convert the gripping force applied by the target object to the gripper into a corresponding analog electrical signal. The signal conditioning circuit is electrically connected to the force acquisition module and is configured to amplify and filter the analog electrical signal before inputting it to the analog-to-digital conversion module. An analog-to-digital conversion module, electrically connected to the signal conditioning circuit, is configured to convert analog electrical signals into digital force signals. The calibration module is electrically connected to the analog-to-digital conversion module and is configured to perform calibration processing on the digital force signal to obtain the digital force signal corresponding to the peak grip force value for each grip force action. The control module, electrically connected to the calibration module, is configured to perform data parsing, calibration compensation, and format encapsulation of digital force signals on the grip strength unit itself, generating force data frames for wireless transmission to reduce dependence on external devices and avoid additional latency introduced by multiple interactions; it filters key force data related to grip strength assessment, encapsulates and sends it, and reduces the transmission load of the wireless link by controlling the length of a single data frame and the transmission cycle, thereby shortening the processing latency from data acquisition to transmission, achieving continuous, low-latency transmission of force data, and avoiding display lag caused by wireless link congestion or batch transmission; and it controls the sampling timing of the analog-to-digital conversion module. The wireless communication module is electrically connected to the control module and is configured to receive the force value data frame and transmit the force value data to an external terminal device in real time according to a preset communication protocol. The transmission timing and data update frequency of the wireless communication module are uniformly scheduled by the control module to ensure the continuity and real-time performance of data transmission. The terminal device is configured to decode and display the force value data immediately after receiving it, thereby realizing the real-time presentation of the grip force value and its changing trend; The terminal device can also send control commands to the control module via the wireless communication module to trigger calibration procedures, parameter updates, or test mode switching.
2. The intelligent grip strength monitoring system according to claim 1, characterized in that, The force acquisition module includes a force sensor, which acquires force signals at a preset sampling frequency.
3. The intelligent grip strength monitoring system according to claim 1, characterized in that, The wireless communication module adopts low-power Bluetooth communication and achieves low-latency data transmission while ensuring controllable power consumption by optimizing connection parameters and data transmission strategies. The data transmission latency of the wireless transmission module is controlled within a preset time range to meet the requirements of real-time grip strength display.
4. The intelligent grip strength monitoring system according to claim 1, characterized in that, It also includes a calibration module configured to generate calibration parameters, which are used to correct or compensate for digital force data after the analog-to-digital conversion module converts the analog electrical signal into a digital force signal; the calibration parameters are stored in the parameter storage area of the control module.
5. The intelligent grip strength monitoring system according to claim 4, characterized in that, The calibration parameters include zero-point offset correction parameters obtained based on unloaded reference values and error compensation parameters obtained based on reference force data. The unloaded reference values are unloaded force data collected under no external force, and the reference force data are multiple sets of preset known force data. By collecting sensor force data corresponding to known force data, error compensation parameters are obtained between the collected sensor force data and the reference force value; the error compensation parameters include linear compensation parameters and nonlinear compensation parameters obtained based on known force data.
6. The intelligent grip strength monitoring system according to claim 1, characterized in that, The calibration process includes: S1 performs time-series analysis on continuously acquired digital force signals to identify complete signal segments corresponding to a single gripping action; S2, In the signal segment, identify the equilibrium segment located at the top of the wave crest, which corresponds to the brief holding phase of the target object under maximum force. S3, the data points corresponding to the balance segment are filtered out or their weights are reduced, and only the rising and falling segment signals on both sides of the peak are retained to calculate the peak grip force corresponding to a grip force action, which is used as the effective measurement result of the grip force value.
7. A method for intelligent grip strength monitoring, characterized in that, include: Collect grip strength data of the target object; The force acquisition module is located in the core force-receiving area of the gripper and is used to convert the gripping force applied by the target object to the gripper into a corresponding analog electrical signal; The analog electrical signal is amplified and filtered. The amplified and filtered analog electrical signal is converted into a digital force signal; The digital force signal is calibrated to obtain the digital force signal corresponding to the peak grip force value for each grip force action; The hand gripper body performs data parsing, calibration compensation and format encapsulation on the digital force value signal to generate force value data frames for wireless transmission, so as to reduce dependence on external devices and avoid additional delays introduced by multiple interactions. The system selects key force data related to grip strength assessment, encapsulates and sends it, and controls the length of each data frame and the transmission cycle to reduce the transmission load of the wireless link, thereby shortening the processing latency from data acquisition to transmission, achieving continuous, low-latency transmission of force data, and avoiding display lag caused by wireless link congestion or batch transmission. The force data is transmitted to an external terminal device in real time according to a preset communication protocol; the transmission timing and data update frequency of the force data frame are uniformly scheduled to ensure the continuity and real-time nature of data transmission. After receiving the force data, the terminal device immediately decodes and displays it, thereby realizing the real-time presentation of the grip strength value and its changing trend.
8. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the method of claim 7.
9. A computer-readable storage medium, characterized in that, The storage medium stores a computer program that, when executed by a processor, implements the method as described in claim 7.
10. A program product, characterized in that, Includes a computer program, wherein the computer program, when executed by a processor, implements the method of claim 7.