CN118490215B - Shoulder dynamic simulation monitoring method, system, equipment and storage medium - Google Patents

Abstract

The application discloses a shoulder dynamic simulation monitoring method, a system, equipment and a storage medium, which relate to the technical field of dynamic monitoring, and the application discloses the shoulder dynamic simulation monitoring method, wherein a first end comprises a fitting module with a target sensing array, the fitting module is dynamically fitted at the arm of a human body model, and the method comprises the following steps: when the first end is in a motion state of the arms in the human body model, acquiring stretching electric signals generated when the arms move according to stretching unit points in the target sensing array; collecting pressure electric signals generated during arm movement according to pressure unit points in the target sensing array; and sending the stretching electric signal and the pressure electric signal to a second end, constructing a shoulder stress distribution three-dimensional model by the second end according to the stretching electric signal and the pressure electric signal, and determining health and safety intervals of different muscle groups in the shoulder according to the shoulder stress distribution three-dimensional model so as to monitor shoulder care equipment according to the health and safety intervals. The application can realize effective monitoring of the shoulder nursing equipment.

Description

Shoulder dynamic simulation monitoring method, system, device and storage medium

Technical Field

The present application relates to the field of dynamic monitoring technology, and in particular to a shoulder dynamic simulation monitoring method, system, device and storage medium.

Background Art

The arm is the main part of the human body for daily life and production, and the shoulder is the most important joint that connects and drives the arm to work. With the change of people's lifestyle and production methods, closed, static, and long-term office work has become the norm in daily work, which has also caused a series of health problems, such as health problems related to the shoulder.

Based on this, currently there are shoulder care devices for shoulder health, such as shoulder massage devices. However, this type of care device has certain defects, such as the lack of effective monitoring means for the care device, and it is impossible to know whether the shoulder muscles will be damaged when the care device is used to care for the user's shoulders, which poses certain safety hazards. Therefore, how to effectively monitor the shoulder care device has become an urgent problem to be solved.

The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art.

Summary of the invention

The main purpose of this application is to provide a shoulder dynamic simulation monitoring method, system, device and storage medium, aiming to solve the technical problem of how to effectively monitor shoulder care equipment.

To achieve the above-mentioned purpose, the present application proposes a shoulder dynamic simulation monitoring method, which is applied to a first end, wherein the first end includes a fitting module having a target sensor array, and the fitting module is dynamically fitted to the arm of a human model. The method includes:

When the arm in the human body model is in motion, the stretching electrical signal generated by the arm movement is collected according to the stretching unit points in the target sensor array;

Collecting pressure electrical signals generated when the arm moves according to the pressure unit points in the target sensor array;

The stretching electrical signal and the pressure electrical signal are sent to a second end connected to the first end, wherein the second end constructs a three-dimensional model of shoulder force distribution based on the stretching electrical signal and the pressure electrical signal, and determines healthy and safe ranges of different muscle groups in the shoulder based on the three-dimensional model of shoulder force distribution, so as to monitor the shoulder care equipment according to the healthy and safe ranges.

In one embodiment, the method further comprises:

Alternately weave the first resistance units whose resistance changes with stretching to obtain a first sensing array, wherein the intersection points in the first sensing array serve as stretching unit points;

Alternately weave the second resistance units whose resistance changes with compression through warp and weft to obtain a second sensing array, wherein the intersection points of the second sensing array are used as pressure unit points;

A target sensor array is constructed according to the first sensor array and the second sensor array.

In one embodiment, the step of collecting the stretching electrical signal generated when the arm moves according to the stretching unit points in the target sensor array includes:

Determining the stretch change data of the first sensing array generated according to the arm movement, wherein the stretch change data includes the arc change stroke of the first resistance unit in the first sensing array;

Determine the resistance change and capacitance change at each stretching unit point in the first sensing array according to the stretching change data;

A stretching electrical signal is determined according to the resistance change and the capacitance change.

In one embodiment, the step of collecting the pressure electrical signal generated when the arm moves according to the pressure unit points in the target sensor array includes:

Determining pressure change data generated by the second sensing array according to the arm movement, wherein the pressure change data includes a deformation amount of each pressure unit point in the second sensing array;

The deformation amount of each pressure unit point is converted into a pressure electrical signal.

In addition, to achieve the above-mentioned purpose, the present application also provides a shoulder dynamic simulation monitoring method, which is applied to the second end, and the shoulder dynamic simulation monitoring method includes:

Acquire the stretching electrical signal and the pressure electrical signal sent in real time by the first end, wherein the first end acquires the stretching electrical signal and the pressure electrical signal respectively according to the stretching unit points and the pressure unit points in the target sensing array dynamically attached to the arm of the human model when the arm is detected to be in motion;

A three-dimensional model of shoulder force distribution is constructed based on the stretching electrical signal and the pressure electrical signal, and the healthy and safe ranges of different muscle groups in the shoulder are determined based on the three-dimensional model of shoulder force distribution, so that shoulder care equipment monitoring can be performed according to the healthy and safe ranges.

In one embodiment, the step of constructing a three-dimensional model of shoulder force distribution according to the tensile electrical signal and the pressure electrical signal includes:

Construct a three-dimensional shoulder model corresponding to the arm position of the human body model;

Performing signal analysis and conversion on the stretching electrical signal and the pressure electrical signal respectively to obtain stretching electrical data corresponding to the stretching electrical signal and pressure electrical data corresponding to the pressure electrical signal;

The tensile electrical data and the pressure electrical data are mapped to the three-dimensional model of the shoulder to obtain a three-dimensional model of shoulder force distribution.

In one embodiment, the step of determining the healthy and safe intervals of different muscle groups in the shoulder according to the three-dimensional model of shoulder force distribution includes:

Determine the muscle area corresponding to different muscle groups in the three-dimensional model of shoulder force distribution;

For each muscle group, determine the force generation method and strength of the muscle group according to the movement trajectory and force condition of the muscle group in the muscle group area;

A healthy and safe range for the muscle group is established based on the strength and the force-generating method.

In addition, to achieve the above purpose, the present application also proposes a shoulder dynamic simulation monitoring system, which includes a first end and a second end, wherein the first end includes a fitting module having a target sensor array, and the fitting module is dynamically fitted to the arm of a human model.

The first end is used to collect the stretching electrical signal generated when the arm in the human body model is in motion according to the stretching unit points in the target sensing array; collect the pressure electrical signal generated when the arm is in motion according to the pressure unit points in the target sensing array; and send the stretching electrical signal and the pressure electrical signal to the second end connected to the first end;

The second end is used to obtain the stretching electrical signal and the pressure electrical signal sent in real time by the first end, construct a three-dimensional model of shoulder force distribution based on the stretching electrical signal and the pressure electrical signal, and determine the healthy and safe ranges of different muscle groups in the shoulder based on the three-dimensional model of shoulder force distribution, so as to monitor the shoulder care equipment according to the healthy and safe ranges.

In addition, to achieve the above-mentioned purpose, the present application also proposes a shoulder dynamic simulation monitoring device, which includes: a first end, a second end, a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the shoulder dynamic simulation monitoring method described above.

In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the shoulder dynamic simulation monitoring method described above are implemented.

In the present application, the first end dynamically fits the fitting module with the target sensor array to the arm of the human model, and then the human arm can be simulated through the human model arm, and the fitting module is dynamically fitted to the arm of the human model, so the target sensor array can sense the relevant state of the human model arm in real time. And when the arm is in motion in the human model, the first end collects the stretching electrical signal generated when the arm moves according to the stretching unit point in the target sensor array, and collects the pressure electrical signal generated when the arm moves, and then sends the stretching electrical signal and the pressure electrical signal to the second end. Therefore, when the arm of the human model simulates the movement of the actual human arm, the first end can directly sense the stretching state of the arm through the stretching unit point, and then collect the stretching electrical signal generated when the arm moves. According to the stretching electrical signals collected by each stretching unit point, the movement trajectory and strength of the arm can be clearly determined. In addition, the compression state of the arm can be sensed through the pressure unit point, and then the pressure electrical signal generated when the arm moves can be collected. According to the pressure electrical signals collected by each pressure unit point, the force condition of the entire arm can be determined. The second end constructs a three-dimensional model of shoulder force distribution based on the tensile electrical signal and the pressure electrical signal, and determines the healthy and safe intervals of different muscle groups in the shoulder based on the three-dimensional model of shoulder force distribution, so as to monitor the shoulder care equipment based on the healthy and safe intervals. Therefore, it is possible to monitor the movement trajectory and force conditions of the human arm at different time periods in real time based on the three-dimensional model of shoulder force distribution, and then the healthy and safe intervals of different muscle groups in the shoulder, and comprehensively evaluate the strength, comfort and effectiveness of different shoulder care equipment based on the healthy and safe intervals, thereby realizing effective monitoring of shoulder care equipment.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

FIG1 is a schematic diagram of a scene of a first end of a human body model configuration in a shoulder dynamic simulation monitoring method of the present application;

FIG2 is a partial schematic diagram of a target sensor array in the shoulder dynamic simulation monitoring method of the present application;

FIG3 is a schematic diagram of a brief process of the shoulder dynamic simulation monitoring system of the present application;

FIG4 is a schematic diagram of a flow chart of a first embodiment of a shoulder dynamic simulation monitoring method of the present application;

FIG5 is a schematic diagram of a flow chart of a third embodiment of a shoulder dynamic simulation monitoring method of the present application;

FIG6 is a schematic diagram of a three-dimensional model of shoulder force distribution provided in Embodiment 2 of the shoulder dynamic simulation monitoring method of the present application;

FIG. 7 is a schematic diagram of the device structure of the hardware operating environment involved in the shoulder dynamic simulation monitoring method in an embodiment of the present application.

The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings.

DETAILED DESCRIPTION

It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

In this embodiment, a shoulder dynamic simulation monitoring system is provided, and the shoulder dynamic simulation monitoring system can execute the shoulder dynamic simulation monitoring method in the following embodiment.

Optionally, the shoulder dynamic simulation monitoring system includes a first end and a second end, and the first end and the second end can establish a transmission connection, including a wired connection, a wireless connection, etc.

Optionally, a fitting module can be provided in the first end, the fitting module includes a target sensing array, and the fitting module can be dynamically fitted to the arm of the human model. That is, when the human model needs to be subjected to a shoulder stress test, the fitting module can be fitted to the arm of the human model. When the human model does not need to be subjected to a shoulder stress test, the fitting module can be removed from the arm of the human model. Optionally, a tensile and compressive stress sensing unit can be provided in the target sensing array.

For example, as shown in FIG1 , a human body model 1 and a fitting module 2 are included. The human body model 1 can be made of conventional plastic materials such as wood, plastic, silicone, plaster, etc. It can simulate the three-dimensional structure of the human body, fix the three-dimensional standard, and support the tensile and compressive stress sensing units. In the fitting module 2, a tensile and compressive stress sensing unit interlaced with warp and weft can be set, and a resistance unit (such as yarn, fiber, etc.) whose resistance changes with stretching or compression can be used as a target sensing array woven alternately with warp and weft. A plurality of tensile and compressive stress sensing units will be set in the target sensing array, and the tensile and compressive stress sensing units may include a tensile sensing unit and a pressure sensing unit. The position of the tensile sensing unit in the target sensing array can be used as a tensile unit point. The position of the pressure sensing unit in the target sensing array is used as a pressure unit point. And the pressure unit point can be used as a pressure monitoring unit and a three-dimensional fixed point. The tensile unit point can be used for arc change stroke reference. As shown in FIG2 , a plurality of tensile unit points 3 and pressure unit points 4 are set in the target sensing array. Optionally, the target sensing array may be formed by merging two sensing arrays, that is, a first sensing array and a second sensing array, and the intersection points in the first sensing array are used as stretching unit points, and the intersection points in the second sensing array are used as pressure unit points.

Optionally, a sensor module may be provided in the target sensor array of the bonding module 2, and the sensor module may include at least one of a stretch sensor and a pressure sensor. Optionally, the stretch sensor may be provided at a stretch unit point, and the pressure sensor may be provided at a pressure unit point. A stretch sensor is provided corresponding to each stretch unit point, and a pressure sensor is provided corresponding to each pressure unit point.

In addition, the system operation architecture of the shoulder dynamic simulation monitoring system can be as shown in FIG3. For the human body model, the fitting module in the first end is dynamically fitted to the shoulder of the human body model. And a target sensor array is provided in the fitting module, and each intersection in the target sensor array is provided with a sensor module (such as a stretch sensor and a pressure sensor), that is, a pressure sensor is provided at the pressure unit point, and a stretch sensor is provided at the stretch unit point. And when the arm of the human body model is in motion, the pressure sensor at the pressure unit point will generate a corresponding pressure electric signal, and the stretch sensor at the stretch unit point will generate a corresponding stretch electric signal. And the pressure electric signal and the stretch electric signal are transmitted to the second end through the transmission module. Optionally, the second end can be an information platform, or other terminal platforms, servers, which are not limited here. Optionally, a storage module, a statistical module and an analysis module can be set in the second end, and the pressure electric signal and the stretch electric signal sent by the first end can be stored through the storage module, and the pressure electric signal and the stretch electric signal are analyzed successively by the statistical module and the analysis module to construct a three-dimensional model of shoulder force distribution, and displayed through the display/feedback module.

Based on this, an embodiment of the present application provides a shoulder dynamic simulation monitoring method, referring to FIG. 4 , which is a flow chart of the first embodiment of the shoulder dynamic simulation monitoring method of the present application.

In this embodiment, the shoulder dynamic simulation monitoring method is applied to the first end, the first end includes a fitting module with a target sensor array, the fitting module is dynamically fitted to the arm of the human model, and the shoulder dynamic simulation monitoring method includes steps S10~S30.

Optionally, the first end may be a wearable device. The fitting module may be a device including a target sensor array, such as a bandage composed of yarn.

In a feasible embodiment, before executing step S10, the shoulder dynamic simulation monitoring method further includes steps a10-a30.

Step a10, alternately weaving the first resistance units whose resistance changes with stretching through warp and weft to obtain a first sensing array, wherein the intersection points in the first sensing array are used as stretching unit points;

Alternatively, the first resistor unit whose resistance varies with stretching may be a yarn or fiber whose resistance varies with stretching.

Optionally, a first resistor unit with a sensing function (whose resistance value changes with tension) can be interwoven in a warp and weft alternating weaving manner to form a smart fabric, and this smart fabric can be used as a first sensing array. And the first resistor unit can sense the stretching change, and its resistance changes as the fiber or yarn is stretched. The deformation degree of the human body model in different postures or stress states can be monitored by the first sensing array. Therefore, the intersection of the horizontal and vertical data lines can be used as the stretching unit point in the first sensing array, such as shown in sequence number 3 in Figure 2.

Optionally, if the first resistance unit is a yarn whose resistance changes with stretching, the yarn will change resistance when the first sensor array is stretched due to the movement of the human model arm. This change is based on the physical properties of the material, that is, when the material is stretched by an external force, its internal structure is deformed, resulting in a longer conductive path or a reduced cross-sectional area, thereby causing an increase in resistance. At the same time, for the variable capacitance element in the stretch sensor in the stretch unit point, the stretching of the first sensor array may also affect the capacitance value, because the capacitance is related to the distance between the electrodes. That is, when the human model arm moves, the first sensor array will be stretched, and the resistance and capacitance in the stretch sensor in the stretch unit point will change, thereby forming a corresponding stretch electrical signal. Optionally, by continuously monitoring the changes in these resistances and capacitances, the movement trajectory of the arm in three-dimensional space can be tracked with high precision, including the amplitude, speed and acceleration of various movements such as stretching and bending.

Step a20, alternately weaving the second resistance units whose resistance changes with compression in warp and weft to obtain a second sensing array, wherein the intersection points of the second sensing array are used as pressure unit points;

Optionally, the second resistor unit whose resistance varies with stretching may be a yarn or fiber whose resistance varies with compression. The second resistor unit and the first resistor unit may be two resistor units made of the same material, such as both yarn or both fiber.

Optionally, the second sensing array can be woven in the same manner as the first sensing array, that is, the first resistor units with sensing functions (whose resistance value changes with pressure) can be interwoven in a warp and weft alternating weaving manner to form a smart fabric, and the smart fabric can be used as the second sensing array. The second resistor unit can sense compression changes, and its resistance changes as the fiber or yarn is compressed. Therefore, the intersection of the horizontal and vertical data lines can be used as the pressure unit point in the second sensing array, such as shown in sequence number 4 in Figure 2.

Optionally, the pressure unit point can sense the tiny deformations caused by the external pressure on the surface or inside of the second sensing array and convert these deformations into electrical signals. And it can rely on the piezoresistive effect or the principle of capacitance change. When pressure acts on the sensing point, it will cause the resistance value to rise or the capacitance value to change, thereby generating a signal output proportional to the pressure. Therefore, the pressure distribution of the arm in the human model under different activity states can be fully captured and recorded by each pressure unit point in the second sensing array, whether it is the pressure caused by the body weight or the load applied by the outside world.

Step a30: constructing a target sensor array based on the first sensor array and the second sensor array.

Optionally, after determining the first sensor array and the second sensor array, the first sensor array and the second sensor array may be merged to obtain a target sensor array. When merging, the first sensor array and the second sensor array may be offset aligned so that each stretching unit point in the first sensor array does not overlap with each pressure unit point in the second sensor array.

Optionally, the first sensor array and the second sensor array may be aligned first, and the minimum rectangle formed by four stretching unit points in the first sensor array may be determined, the length of the side of the minimum rectangle may be determined, half of the length may be used as the displacement value, the second sensor array may be moved by the displacement value, and then the first sensor array and the second sensor array may be merged to obtain a target sensor array. In addition, other methods may be used for merging, as long as each stretching unit point in the first sensor array and each pressure unit point in the second sensor array do not overlap, to obtain a target sensor array.

In a feasible embodiment, after determining the first resistor unit whose resistance changes with stretching and the second resistor unit whose resistance changes with compression, the first resistor unit and the second resistor unit can be directly woven alternately in warp and weft to obtain a target sensing array. The intersection of the horizontal and vertical lines formed by the first resistor unit in the target sensing array is used as a stretching unit point, and the intersection of the horizontal and vertical lines formed by the second resistor unit in the target sensing array is used as a pressure unit point.

In this embodiment, the first resistance unit whose resistance changes with stretching is woven alternately in warp and weft to obtain a first sensing array including stretching unit points, and the second resistance unit whose resistance changes with compression is woven alternately in warp and weft to obtain a second sensing array including pressure unit points, and a target sensing array is constructed based on the first sensing array and the second sensing array. The validity of the constructed target sensing array can be guaranteed so as to perform dynamic monitoring of the arm in the human body model later.

With respect to step S10, when the arm in the human body model is in motion, the stretching electrical signal generated when the arm moves is collected according to the stretching unit points in the target sensor array.

Optionally, when the arm with the fitting module attached in the human model changes from a static state to a moving state, a stretching electrical signal corresponding to the arm movement can be generated by each stretching unit point in the target sensor array. That is, each stretching unit point will generate a corresponding stretching electrical signal.

Optionally, the arms in the human body model may simulate various motion operations, such as stretching, etc. When the arms in the human body model perform motion operations, the arms in the human body model will be in a motion state.

Optionally, the stretching unit point can drive the change of the resistance and capacitance of the stretching sensor through the change of arm movement, thereby generating an electrical signal, and then recording the stretching movement state of the human model arm. The target sensor array spread over the entire arm surface can clearly record the three-dimensional movement trajectory and strength of the arm.

Optionally, the target sensing array can be stretched or compressed in response to arm movement in the human body model.

Optionally, when the arm of the human model moves, the target sensor array will be stretched and deformed, which will cause the conductive path in the target sensor array to become longer or the cross-sectional area to decrease, thereby causing the resistance to increase. When the target sensor array recovers from the stretching deformation to the initial state, the resistance will also decrease. Therefore, when the arm of the human model moves, the resistance in the stretching unit point will change, and then a corresponding electrical signal can be generated according to the changed resistance, and it can be used as a stretching electrical signal. Optionally, a variable capacitance element can be set at the stretching unit point, and the variable capacitance element can generate different capacitances as the target sensor array is deformed, so a corresponding electrical signal can be generated according to the changed capacitance and/or resistance, and it can be used as a stretching electrical signal.

Step S20, collecting pressure electrical signals generated when the arm moves according to the pressure unit points in the target sensor array;

Optionally, the deformation of the arm itself or under pressure is converted into an electrical signal through the pressure sensors in the pressure unit points interwoven in the target sensing array, thereby clearly recording the force condition of the entire arm.

Optionally, when the human body model is in motion, the pressure electrical signal generated when the arm moves can be collected according to the pressure unit points in the target sensor array. Optionally, the stretching unit points and the pressure unit points in the target sensor array can work in parallel at the same time, that is, while the stretching unit points collect the stretching electrical signal generated when the arm moves, the pressure unit points also synchronously collect the pressure electrical signal generated when the arm moves.

Optionally, when the human model arm moves, it will cause the target sensor array to produce compressive deformation, and then produce corresponding pressure on the target sensor array. That is, when the human model arm moves, each pressure unit point in the target sensor array will detect its own deformation, and convert the deformation into a corresponding electrical signal, and use this electrical signal as a pressure electrical signal. Optionally, when the human model arm moves, pressure will be generated and will act on the target sensor array. The target sensor array will produce compressive deformation, and this deformation will be transmitted to the pressure sensor in the pressure unit point. When the pressure sensor is subjected to external force, the originally symmetrical charge distribution will be unbalanced, thereby generating charge movement, and the charge movement will form a corresponding electrical signal. Therefore, when the pressure sensor senses pressure, that is, when it is deformed, it will generate a corresponding pressure electrical signal.

Step S30, sending the stretching electrical signal and the pressure electrical signal to the second end connected to the first end, wherein the second end constructs a three-dimensional model of shoulder force distribution based on the stretching electrical signal and the pressure electrical signal, and determines the healthy and safe ranges of different muscle groups in the shoulder based on the three-dimensional model of shoulder force distribution, so as to monitor the shoulder care equipment according to the healthy and safe ranges.

Optionally, when the human arm moves, after the first end collects the stretching electrical signal and the pressure electrical signal through the target sensing array, the stretching electrical signal and the pressure electrical signal are sent to the second end in real time. Optionally, since there are multiple stretching unit points and multiple pressure unit points, the target sensing array may collect multiple stretching electrical signals and multiple pressure electrical signals at the same time.

Optionally, the first end can send all the stretching electrical signals and pressure electrical signals to the second end through a transmission module set in advance. The transmission module can use wireless transmission, such as LAN transmission, Bluetooth transmission, hotspot transmission, etc. to transmit the stretching electrical signals and pressure electrical signals. It is also possible to use wired transmission, that is, by setting at least one transmission data line to connect the first end and the second end, and then transmit the stretching electrical signals and pressure electrical signals through the transmission data line. Other transmission methods can also be used for transmission, which are not limited here.

Optionally, after receiving the stretching electrical signal and the pressure electrical signal sent by the first end, the second end can store the stretching electrical signal and the pressure electrical signal in the storage module in chronological order, and then perform statistical analysis on all the stored stretching electrical signals and pressure electrical signals to construct a three-dimensional model of shoulder force distribution. And it can be displayed by a display/feedback module, such as a display screen. And after the second end subsequently receives new stretching electrical signals and pressure electrical signals, the three-dimensional model of shoulder force distribution can be updated in real time according to the new stretching electrical signals and pressure electrical signals. Then, the motion trajectory and force conditions of the human model arm at different time periods can be monitored according to the three-dimensional model of shoulder force distribution. Then, the force mode and strength of different muscle groups in the shoulder area can be determined according to the motion trajectory and force conditions of the human model arm at different time periods, and the health and safety intervals for different muscle groups can be set according to the force mode and strength of different muscle groups, that is, within the health and safety interval, muscle injury will not occur. At this time, a shoulder care monitoring platform can be set according to the health and safety interval, and then the shoulder care equipment can be monitored according to the shoulder care monitoring platform. For example, a comprehensive assessment is conducted on the strength, comfort and effectiveness of different care products to determine whether the force generation method and strength of different shoulder muscle groups are within the healthy and safe range when the user uses the care product. If so, the care product is effective. If not, it is determined that the care product poses a hidden danger to human health, such as the risk of muscle strain.

In this embodiment, the first end dynamically fits the fitting module with the target sensor array to the arm of the human model, and then the human arm can be simulated through the human model arm, and the fitting module is dynamically fitted to the arm of the human model, so the target sensor array can sense the relevant state of the human model arm in real time. And when the arm is in motion in the human model, the first end collects the stretching electrical signal generated when the arm moves according to the stretching unit point in the target sensor array, and collects the pressure electrical signal generated when the arm moves, and then sends the stretching electrical signal and the pressure electrical signal to the second end. Therefore, when the arm of the human model simulates the movement of the actual human arm, the first end can directly sense the stretching state of the arm through the stretching unit point, and then collect the stretching electrical signal generated when the arm moves. According to the stretching electrical signals collected by each stretching unit point, the movement trajectory and strength of the arm can be clearly determined. In addition, the compression state of the arm can be sensed through the pressure unit point, and then the pressure electrical signal generated when the arm moves can be collected. According to the pressure electrical signals collected by each pressure unit point, the force condition of the entire arm can be determined. The second end constructs a three-dimensional model of shoulder force distribution based on the tensile electrical signal and the pressure electrical signal, and determines the healthy and safe intervals of different muscle groups in the shoulder based on the three-dimensional model of shoulder force distribution, so as to monitor the shoulder care equipment based on the healthy and safe intervals. Therefore, it is possible to monitor the movement trajectory and force conditions of the human arm at different time periods in real time based on the three-dimensional model of shoulder force distribution, and then the healthy and safe intervals of different muscle groups in the shoulder, and comprehensively evaluate the strength, comfort and effectiveness of different shoulder care equipment based on the healthy and safe intervals, thereby realizing effective monitoring of shoulder care equipment.

Based on the first embodiment of the present application, a second embodiment of the present application is proposed. In the second embodiment of the present application, the same or similar contents as those in the above embodiment can be referred to the above description and will not be described in detail later. On this basis, in step S10, the step of collecting the stretching electrical signal generated when the arm moves according to the stretching unit points in the target sensor array includes steps b10-b30.

Step b10, determining the stretch change data generated by the first sensor array according to the arm movement, wherein the stretch change data includes the arc change stroke of the first resistor unit in the first sensor array;

Optionally, the arc change stroke may be deformation data of the first sensing array captured by stretching unit points.

Optionally, when the arm of the human model is in motion, the arm will produce a stretching action, because the fitting module in the first end is dynamically fitted to the arm of the human model, and the fitting module includes a target sensor array, and the target sensor array can be deformed with the movement of the human model arm. Therefore, when the human model arm moves, the first sensor array in the target sensor array will also produce a certain stretching deformation following the movement of the arm, and the first sensor array includes multiple stretching unit points, and each stretching unit point is provided with a stretching sensor. Therefore, the deformation data of the first sensor array can be detected by the stretching sensor in each stretching unit point, and it is used as the arc change stroke of the first resistance unit. That is, each stretching unit point can detect the deformation data near the stretching unit point to obtain the arc change stroke of the first resistance unit. The arc change stroke detected by all stretching unit points in the first sensor array is unified as the stretching change data.

Step b20, determining the resistance change and capacitance change at each stretching unit point in the first sensing array according to the stretching change data;

Optionally, for each stretching unit point in the first sensing array, the resistance change of the resistor and the capacitance change of the capacitor at the stretching unit point can be determined according to the arc change stroke corresponding to the stretching unit point in the stretching change data.

Optionally, since the first sensing array is woven according to the first resistance unit, the first resistance unit may be a fiber or a yarn. Therefore, when the first sensing array is stretched, that is, the first resistance unit is stretched, this will cause the contact points between the first resistance unit and the first resistance unit to become sparse due to the increase in distance, resulting in a longer resistance path and a reduced cross-sectional area, thereby increasing the total resistance value. Therefore, when the arm of the human body model is stretched, the first sensing array will also be stretched, and the resistance value in the stretching unit point in the first sensing array will also increase, thereby obtaining a new resistance value after the increase. The new resistance value is used as the resistance change amount.

Optionally, when the first sensing array is not stretched, a certain distance is maintained between the two conductive layers preset in the stretching unit point to form a fixed capacitor. When the first sensing array is stretched as the human model arm moves, the distance between the two conductive layers will be increased, which is equivalent to increasing the distance between the plates of the capacitor. According to the conventional capacitance formula, the distance between the conductive layers is inversely proportional to the capacitance value. When the distance between the conductive layers increases, the capacitance value will decrease accordingly, thereby obtaining a new capacitance value after the decrease. The new capacitance value is used as the capacitance change.

Optionally, an elastic medium and a conductive layer may be added, and when the elastic medium is compressed or stretched, the dielectric constant changes, thereby causing the capacitance value to change.

Step b30, determining the stretching electrical signal according to the resistance change and the capacitance change.

Optionally, after determining the resistance change and the capacitance change, the resistance change signal corresponding to the resistance change and the capacitance change signal corresponding to the capacitance change can be subjected to signal conditioning, such as amplification and filtering. Then, the capacitance change signal and the resistance change signal after signal conditioning are converted into digital signals, such as by using an analog-to-digital converter for conversion. The converted digital signals are subjected to corresponding analytical processing, and can be processed according to a linear regression model or the like to establish a mathematical relationship between the resistance and capacitance changes and the strain or stress, and then the strain or stress value corresponding to the resistance change and the capacitance change is analyzed according to the mathematical relationship, and a corresponding electrical signal, such as a voltage signal or a current signal, is generated.

In this embodiment, by determining the stretch change data generated by the first sensor array according to the arm movement, and determining the resistance change and capacitance change of each stretch unit point in the first sensor array according to the stretch change data, the stretch electrical signal is determined according to the resistance change and capacitance change, thereby ensuring the validity of the collected stretch electrical signal.

Furthermore, in a feasible embodiment, step S20, the step of collecting the pressure electrical signal generated when the arm moves according to the pressure unit points in the target sensor array, includes steps c10-c20.

c10, determining the pressure change data generated by the second sensing array according to the arm movement, wherein the pressure change data includes the deformation amount of each pressure unit point in the second sensing array;

c20, converts the deformation of each pressure unit point into a pressure electrical signal.

Optionally, when the arm of the human model is in motion, the arm will produce a compression movement, because the fitting module in the first end is dynamically fitted to the arm of the human model, and the fitting module includes a target sensor array, and the target sensor array can be deformed with the movement of the human model arm. Therefore, when the human model arm moves, the second sensor array in the target sensor array will also produce a certain compression deformation following the movement of the arm, and the second sensor array includes multiple pressure unit points, and each pressure unit point is provided with a pressure sensor. Therefore, the pressure change data generated by the second sensor array can be detected by the pressure sensor in each pressure unit point, that is, each pressure unit point in the second sensor array is deformed due to the pressure, and the corresponding deformation amount is obtained, and this deformation amount is used as the pressure change data.

Optionally, each pressure unit point will generate at least one corresponding deformation variable, so the deformation variable can be converted into a corresponding electrical signal, ie, a pressure electrical signal, at each pressure unit point. Optionally, the pressure electrical signal can be a current signal or a voltage signal.

In this embodiment, by determining the pressure change data generated by the second sensor array according to the arm movement, and the pressure change data includes the deformation amount of each pressure unit point, the deformation amount of each pressure unit point is converted into a pressure electrical signal, thereby ensuring the validity of the obtained pressure electrical signal.

Based on the first embodiment or the second embodiment of the present application, in the third embodiment of the present application, the same or similar contents as those in the above embodiments can be referred to the above description, and no further description will be given later. On this basis, the shoulder dynamic simulation monitoring method can be applied to the second end, and with reference to FIG5 , the shoulder dynamic simulation monitoring method includes steps S100-S200.

Step S100, obtaining the stretching electrical signal and the pressure electrical signal sent by the first end in real time, wherein the first end obtains the stretching electrical signal and the pressure electrical signal respectively according to the stretching unit point and the pressure unit point in the target sensing array dynamically attached to the arm of the human model when detecting that the arm is in motion;

In this embodiment, the first end may be the first end in the above embodiment. Optionally, the first end may include a fitting module of the target sensor array, and the fitting module is dynamically fitted at the arm of the human model. And the target sensor array includes multiple stretching unit points and multiple pressure unit points. Optionally, the target sensor array can be constructed by a first sensor array and a second sensor array, and the intersection of the horizontal and vertical lines in the first sensor array is used as the stretching unit point, and the intersection of the horizontal and vertical lines in the second sensor array is used as the pressure unit point. Optionally, the first sensor array is obtained by alternating the warp and weft by weaving a first resistor unit whose resistance changes with stretching. The second sensor array is obtained by alternating the warp and weft by weaving a second resistor unit whose resistance changes with stretching.

Optionally, the first end may be a wearable device, so that the first end is worn on the arm of the human model. The second end may be a server, a terminal, or a processing platform, such as an information platform, for processing electrical signals.

Optionally, when the arm in the human body model is in motion, the first end collects the stretch electrical signal generated when the arm moves according to the stretch unit points in the target sensor array, collects the pressure electrical signal generated when the arm moves according to the pressure unit points in the target sensor array, and sends the stretch electrical signal and the pressure electrical signal to the second end.

Optionally, the second end receives the stretching electrical signal and the pressure electrical signal sent by the first end in real time, and stores the stretching electrical signal in the order of the stretching unit point location and the sending time, and stores the pressure electrical signal in the order of the pressure unit point location and the sending time.

Step S200, construct a three-dimensional model of shoulder force distribution based on the tensile electrical signal and the pressure electrical signal, and determine the healthy and safe ranges of different muscle groups in the shoulder based on the three-dimensional model of shoulder force distribution, so as to monitor the shoulder care equipment according to the healthy and safe ranges.

Optionally, the different muscle groups in the shoulder may include a series of complex muscle groups such as the pectoralis major, deltoid, latissimus dorsi, shoulder rotator muscles and teres major.

Optionally, the stored tensile electrical signals and pressure electrical signals may be modeled according to a preset model algorithm to obtain a three-dimensional model of shoulder force distribution. For example, as shown in FIG6 , it is a schematic diagram of a three-dimensional model of shoulder force distribution.

After the three-dimensional model of shoulder force distribution is constructed, the second end can update the shoulder force distribution three-dimensional model in real time according to the new stretching electrical signal and pressure electrical signal after receiving the new stretching electrical signal and pressure electrical signal. Then, the motion trajectory and force condition of the human model arm at different time periods can be monitored according to the three-dimensional model of shoulder force distribution. Then, the force mode and strength of different muscle groups in the shoulder area can be determined according to the motion trajectory and force condition of the human model arm at different time periods, and the health and safety interval for different muscle groups can be set according to the force mode and strength of different muscle groups, that is, within the health and safety interval, muscle injury will not occur. At this time, a shoulder care monitoring platform can be set according to the health and safety interval, and then the shoulder care equipment can be monitored according to the shoulder care monitoring platform. For example, a comprehensive evaluation of the strength, comfort and effectiveness of different care products is carried out to determine whether the force mode and strength of different shoulder muscle groups are within the health and safety interval when the user uses the care product. If so, the care product is effective. If not, it is determined that the care product has hidden dangers to human health, such as the risk of muscle strain.

In this embodiment, the first end dynamically fits the fitting module with the target sensor array to the arm of the human model, and then the human arm can be simulated through the human model arm, and the fitting module is dynamically fitted to the arm of the human model, so the target sensor array can sense the relevant state of the human model arm in real time. And when the arm is in motion in the human model, the first end collects the stretching electrical signal generated when the arm moves according to the stretching unit point in the target sensor array, and collects the pressure electrical signal generated when the arm moves, and then sends the stretching electrical signal and the pressure electrical signal to the second end. Therefore, when the arm of the human model simulates the movement of the actual human arm, the first end can directly sense the stretching state of the arm through the stretching unit point, and then collect the stretching electrical signal generated when the arm moves. According to the stretching electrical signals collected by each stretching unit point, the movement trajectory and strength of the arm can be clearly determined. In addition, the compression state of the arm can be sensed through the pressure unit point, and then the pressure electrical signal generated when the arm moves can be collected. According to the pressure electrical signals collected by each pressure unit point, the force condition of the entire arm can be determined. The second end constructs a three-dimensional model of shoulder force distribution based on the tensile electrical signal and the pressure electrical signal, and determines the healthy and safe intervals of different muscle groups in the shoulder based on the three-dimensional model of shoulder force distribution, so as to monitor the shoulder care equipment based on the healthy and safe intervals. Therefore, it is possible to monitor the movement trajectory and force conditions of the human arm at different time periods in real time based on the three-dimensional model of shoulder force distribution, and then the healthy and safe intervals of different muscle groups in the shoulder, and comprehensively evaluate the strength, comfort and effectiveness of different shoulder care equipment based on the healthy and safe intervals, thereby realizing effective monitoring of shoulder care equipment.

In a feasible embodiment, in step S200, the step of constructing a three-dimensional model of shoulder force distribution according to the tensile electrical signal and the pressure electrical signal includes steps d10-d30.

Step d10, constructing a three-dimensional shoulder model corresponding to the arm position of the human body model;

Step d20, performing signal analysis conversion on the stretching electrical signal and the pressure electrical signal respectively to obtain stretching electrical data corresponding to the stretching electrical signal and pressure electrical data corresponding to the pressure electrical signal;

Step d30, mapping the tensile electrical data and the pressure electrical data to the three-dimensional model of the shoulder to obtain a three-dimensional model of the shoulder force distribution.

Optionally, a human body 3D model corresponding to the human body model can be constructed at the second end according to the 3D scale size of the human body model, and a shoulder 3D model corresponding to the arm position can be constructed. Optionally, a 3D model can be constructed only at the arm position of the human body model according to the corresponding 3D arm size to obtain a shoulder 3D model.

Optionally, the stretching electrical signal and the pressure electrical signal are subjected to signal analysis and conversion, such as filtering and denoising, signal amplification, and analog-to-digital conversion. That is, after receiving the stretching electrical signal and the pressure electrical signal, the second end (such as the information platform) uses a specific algorithm to analyze the stretching electrical signal and the pressure electrical signal, and converts the stretching electrical signal and the pressure electrical signal into specific numerical values, which represent physical quantities such as the degree of stretching and the magnitude of pressure. For example, the stretching electrical signal is converted into stretching electrical data, and the pressure electrical signal is converted into pressure electrical data. The stretching electrical data includes the specific numerical values converted from the stretching electrical signal. The pressure electrical data includes the specific numerical values converted from the pressure electrical signal.

Optionally, when performing signal analysis and conversion of the stretching electrical signal and the pressure electrical signal, the stretching electrical signal and the pressure electrical signal may be filtered and denoised by a filtering algorithm. Then, the stretching electrical signal and the pressure electrical signal are calibrated using a known reference signal. The stretching electrical signal and the pressure electrical signal are converted by an analog-to-digital conversion algorithm (such as an analog-to-digital converter), that is, the stretching electrical signal and the pressure electrical signal are converted into digital signals, and the digital signal corresponding to the stretching electrical signal is used as a specific numerical value after conversion, namely, the stretching electrical data. The digital signal corresponding to the pressure electrical signal is used as a specific numerical value after conversion, namely, the pressure electrical data.

Optionally, the tensile electrical data and pressure electrical data are mapped to the three-dimensional model of the shoulder, and the position of each unit point and its corresponding tensile or pressure value are accurately recorded to form the force point cloud data of the shoulder surface. Then, through graphics processing technology, such as triangulation meshing, surface reconstruction and other operations, these force point source data are converted into a continuous three-dimensional surface, and then a three-dimensional mechanical model of the shoulder in a specific action or motion state is obtained.

The three-dimensional mechanical model can be used for mechanical analysis, such as calculating the stress distribution and motion trajectory of different muscle groups. The stress levels of different parts can be directly displayed in the three-dimensional mechanical model through color coding, heat maps, etc., i.e., mechanical heat maps, or three-dimensional models of shoulder stress distribution. The three-dimensional model of shoulder stress distribution (i.e., mechanical heat maps) can reflect the changes in shoulder stress at different time periods or under different activity states.

In this embodiment, by constructing a three-dimensional shoulder model and performing signal analysis and conversion on the tensile electrical signals and the pressure electrical signals, the tensile electrical data and the pressure electrical data are obtained, and the tensile electrical data and the pressure electrical data are mapped to the three-dimensional shoulder model to obtain a three-dimensional model of shoulder force distribution, thereby ensuring the accuracy and effectiveness of the obtained three-dimensional model of shoulder force distribution.

In a feasible embodiment, in step S200, the step of determining the healthy and safe ranges of different muscle groups in the shoulder based on the three-dimensional model of shoulder force distribution includes steps e10-e30.

e10, determine the muscle group areas corresponding to different muscle groups in the three-dimensional model of shoulder force distribution;

e20, for each muscle group, determine the force mode and strength of the muscle group according to the movement trajectory and force conditions of the muscle group in the muscle group area;

e30, builds a healthy and safe range for muscle groups based on strength and force generation methods.

Optionally, since the shoulder force distribution three-dimensional model is a mechanical heat map, the muscle group areas corresponding to different muscle groups in the shoulder force distribution three-dimensional model can be determined relatively intuitively. For example, in the shoulder force distribution three-dimensional model, the muscle group areas corresponding to the pectoralis major muscle, the muscle group areas corresponding to the deltoid muscle, the muscle group areas corresponding to the latissimus dorsi muscle, the muscle group areas corresponding to the shoulder rotator muscles, and the muscle group areas corresponding to the teres major muscle.

Optionally, a corresponding healthy and safe interval needs to be established for each muscle group. Therefore, the same operation can be taken for the muscle group area corresponding to each muscle group, that is, in the muscle group area, the force generation method of the muscle group is determined according to the movement trajectory of the muscle group, and the stress distribution, that is, the strength, is determined according to the force condition of the muscle group. Optionally, the muscle group area may include multiple unit areas corresponding to pressure unit points and/or stretching unit points. Combined with medical knowledge and physiological mechanics principles, the healthy and safe intervals of different muscle groups are set.

Optionally, according to the three-dimensional model of shoulder force distribution combined with medical knowledge and physiological mechanics principles, healthy and safe intervals for different muscle groups can be set. These healthy and safe intervals can locate the reasonable range of forces that each part of the shoulder should bear when the human model arm is in different motion or resting states. If this range is exceeded, there is a risk of loss.

Optionally, the healthy safety zone and the three-dimensional model of shoulder force distribution can be integrated into the shoulder care monitoring platform, which can provide comprehensive evaluation of the strength, comfort and effectiveness of different care products (such as massage equipment), provide data support for the formulation of care plans, help reduce care risks and improve care quality.

In this embodiment, by determining the muscle group areas corresponding to different muscle groups in the three-dimensional model of shoulder force distribution, for each muscle group, the force generation method and strength of the muscle group are determined according to the movement trajectory and force conditions of the muscle group in the muscle group area, and then the healthy and safe interval of the muscle group is constructed. Therefore, the effectiveness of the constructed healthy and safe interval of the muscle group is guaranteed, so that the shoulder care equipment can be monitored according to the healthy and safe interval.

In addition, the embodiment of the present application provides a shoulder dynamic simulation monitoring system, including a first end and a second end, wherein the first end includes a fitting module having a target sensor array, and the fitting module is dynamically fitted to the arm of a human model.

The first end is used to collect the stretching electrical signal generated when the arm in the human body model is in motion according to the stretching unit points in the target sensing array; collect the pressure electrical signal generated when the arm is in motion according to the pressure unit points in the target sensing array; and send the stretching electrical signal and the pressure electrical signal to the second end connected to the first end;

The second end is used to obtain the stretching electrical signal and the pressure electrical signal sent in real time by the first end, construct a three-dimensional model of shoulder force distribution based on the stretching electrical signal and the pressure electrical signal, and determine the healthy and safe ranges of different muscle groups in the shoulder based on the three-dimensional model of shoulder force distribution, so as to monitor the shoulder care equipment according to the healthy and safe ranges.

The shoulder dynamic simulation monitoring system provided by the present application adopts the shoulder dynamic simulation monitoring method in the above embodiment, which can solve the technical problem of how to effectively monitor the shoulder care equipment. Compared with the prior art, the beneficial effects of the shoulder dynamic simulation monitoring system provided by the present application are the same as the beneficial effects of the shoulder dynamic simulation monitoring method provided by the above embodiment, and other technical features in the shoulder dynamic simulation monitoring system are the same as the features disclosed in the above embodiment method, which will not be repeated here.

The present application provides a shoulder dynamic simulation monitoring device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the shoulder dynamic simulation monitoring method in the above-mentioned embodiment one.

Reference is made to FIG7 , which shows a schematic diagram of the structure of a dynamic simulation monitoring device for the shoulder suitable for implementing an embodiment of the present application. The dynamic simulation monitoring device for the shoulder in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. The dynamic simulation monitoring device for the shoulder shown in FIG7 is merely an example and should not impose any limitations on the functions and scope of use of the embodiment of the present application.

As shown in FIG7 , the shoulder dynamic simulation monitoring device may include a processing device 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM) 1004. Various programs and data required for the operation of the shoulder dynamic simulation monitoring device are also stored in the RAM 1004. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other via a bus 1005. An input/output (I/O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I/O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the shoulder dynamic simulation monitoring device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows a shoulder dynamic simulation monitoring device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have alternatively.

In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

The shoulder dynamic simulation monitoring device provided by the present application adopts the shoulder dynamic simulation monitoring method in the above embodiment, which can solve the technical problem of how to effectively monitor the shoulder care equipment. Compared with the prior art, the beneficial effects of the shoulder dynamic simulation monitoring device provided by the present application are the same as the beneficial effects of the shoulder dynamic simulation monitoring method provided by the above embodiment, and the other technical features in the shoulder dynamic simulation monitoring device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

The present application provides a storage medium, which is a computer-readable storage medium, having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the shoulder dynamic simulation monitoring method in the above-mentioned embodiment.

The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM: Random Access Memory), a read-only memory (ROM: Read Only Memory), an erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM: CD-Read Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency: Radio Frequency), etc., or any suitable combination of the above.

The computer-readable storage medium may be included in the shoulder dynamic simulation monitoring device; or may exist independently without being assembled into the shoulder dynamic simulation monitoring device.

The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the shoulder dynamic simulation monitoring device, the shoulder dynamic simulation monitoring device can execute the step flow in the shoulder dynamic simulation monitoring method.

Computer program code for performing the operations of the present application may be written in one or more programming languages or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a sequence different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and/or flow chart, and the combination of the boxes in the block diagram and/or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned shoulder dynamic simulation monitoring method, and can solve the technical problem of how to effectively monitor the shoulder care equipment. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the shoulder dynamic simulation monitoring method provided in the above-mentioned embodiment, and will not be repeated here.

The present application also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the steps of the shoulder dynamic simulation monitoring method as described above are implemented.

The computer program product provided by this application can solve the technical problem of how to effectively monitor the shoulder care equipment. Compared with the prior art, the beneficial effects of the computer program product provided by this application are the same as the beneficial effects of the shoulder dynamic simulation monitoring method provided by the above embodiment, which will not be repeated here.

The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct/indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims (9)

1. A shoulder dynamic simulation monitoring method, characterized in that it is applied to a first end, wherein the first end includes a fitting module having a target sensor array, and the fitting module is dynamically fitted to the arm of a human model, and the method includes: Alternately weave the first resistance units whose resistance changes with stretching to obtain a first sensing array, wherein the intersection points in the first sensing array serve as stretching unit points; Alternately weave the second resistance unit whose resistance changes with compression through warp and weft to obtain a second sensing array, wherein the intersection points in the second sensing array serve as pressure unit points; Merging the first sensor array and the second sensor array to obtain a target sensor array, wherein the stretching unit point and the pressure unit point do not overlap; When the arm in the human body model is in motion, the stretching electrical signal generated when the arm moves is collected according to the stretching unit points in the target sensor array; wherein when the arm moves, the target sensor array generates a stretching deformation, and the changed resistance and/or capacitance is determined according to the stretching deformation, and the stretching electrical signal is generated according to the changed resistance and/or capacitance; Collecting pressure electrical signals generated when the arm moves according to the pressure unit points in the target sensor array; The stretching electrical signal and the pressure electrical signal are sent to a second end connected to the first end, wherein the second end constructs a three-dimensional model of shoulder force distribution based on the stretching electrical signal and the pressure electrical signal, and determines healthy and safe ranges of different muscle groups in the shoulder based on the three-dimensional model of shoulder force distribution, so as to monitor the shoulder care equipment according to the healthy and safe ranges. 2. The method according to claim 1, characterized in that the step of collecting the stretching electrical signal generated when the arm moves according to the stretching unit points in the target sensor array comprises: Determining the stretch change data of the first sensing array generated according to the arm movement, wherein the stretch change data includes the arc change stroke of the first resistance unit in the first sensing array; Determine the resistance change and capacitance change at each stretching unit point in the first sensing array according to the stretching change data; A stretching electrical signal is determined according to the resistance change and the capacitance change. 3. The method according to claim 1, characterized in that the step of collecting the pressure electrical signal generated when the arm moves according to the pressure unit points in the target sensor array comprises: Determining pressure change data generated by the second sensing array according to the arm movement, wherein the pressure change data includes a deformation amount of each pressure unit point in the second sensing array; The deformation amount of each pressure unit point is converted into a pressure electrical signal. 4. A shoulder dynamic simulation monitoring method, characterized in that it is applied to the second end, and the shoulder dynamic simulation monitoring method comprises: Acquire the stretching electrical signal and the pressure electrical signal sent by the first end in real time, wherein, when the first end detects that the arm is in a moving state, the stretching electrical signal and the pressure electrical signal are acquired respectively according to the stretching unit points and the pressure unit points in the target sensing array dynamically attached to the arm of the human model; the first end weaves the first resistance unit whose resistance changes with stretching in alternating warp and weft to obtain the first sensing array, wherein the intersection points in the first sensing array are used as stretching unit points; weaves the second resistance unit whose resistance changes with compression in alternating warp and weft to obtain the second sensing array, wherein the intersection points in the second sensing array are used as pressure unit points; merge the first sensing array and the second sensing array to obtain the target sensing array, wherein the stretching unit points and the pressure unit points do not overlap; wherein, when the arm moves, the target sensing array generates a stretching deformation, determines the changed resistance and/or capacitance according to the stretching deformation, and generates a stretching electrical signal according to the changed resistance and/or capacitance; A three-dimensional model of shoulder force distribution is constructed based on the stretching electrical signal and the pressure electrical signal, and the healthy and safe ranges of different muscle groups in the shoulder are determined based on the three-dimensional model of shoulder force distribution, so that shoulder care equipment monitoring can be performed according to the healthy and safe ranges. 5. The method according to claim 4, characterized in that the step of constructing a three-dimensional model of shoulder force distribution based on the tensile electrical signal and the pressure electrical signal comprises: Construct a three-dimensional shoulder model corresponding to the arm position of the human body model; Performing signal analysis and conversion on the stretching electrical signal and the pressure electrical signal respectively to obtain stretching electrical data corresponding to the stretching electrical signal and pressure electrical data corresponding to the pressure electrical signal; The tensile electrical data and the pressure electrical data are mapped to the three-dimensional model of the shoulder to obtain a three-dimensional model of shoulder force distribution. 6. The method according to claim 4, characterized in that the step of determining the healthy and safe ranges of different muscle groups in the shoulder according to the three-dimensional model of shoulder force distribution comprises: Determine the muscle area corresponding to different muscle groups in the three-dimensional model of shoulder force distribution; For each muscle group, determine the force generation method and strength of the muscle group according to the movement trajectory and force condition of the muscle group in the muscle group area; A healthy and safe range for the muscle group is established based on the strength and the force-generating method. 7. A shoulder dynamic simulation monitoring system, characterized in that the shoulder dynamic simulation monitoring system comprises a first end and a second end, the first end comprises a fitting module having a target sensor array, the fitting module is dynamically fitted at the arm of a human model, The first end is used to perform warp and weft alternating weaving of first resistor units whose resistance changes with stretching to obtain a first sensing array, wherein the intersection points in the first sensing array are used as stretching unit points; perform warp and weft alternating weaving of second resistor units whose resistance changes with compression to obtain a second sensing array, wherein the intersection points in the second sensing array are used as pressure unit points; perform merging processing on the first sensing array and the second sensing array to obtain a target sensing array, wherein the stretching unit points and the pressure unit points do not overlap; when the arm in the human body model is in motion, the stretching electrical signal generated when the arm moves is collected according to the stretching unit points in the target sensing array; the pressure electrical signal generated when the arm moves is collected according to the pressure unit points in the target sensing array; the stretching electrical signal and the pressure electrical signal are sent to the second end connected to the first end; wherein when the arm moves, the target sensing array generates a stretching deformation, the changed resistance and/or capacitance is determined according to the stretching deformation, and the stretching electrical signal is generated according to the changed resistance and/or capacitance; The second end is used to obtain the stretching electrical signal and the pressure electrical signal sent in real time by the first end, construct a three-dimensional model of shoulder force distribution based on the stretching electrical signal and the pressure electrical signal, and determine the healthy and safe ranges of different muscle groups in the shoulder based on the three-dimensional model of shoulder force distribution, so as to monitor the shoulder care equipment according to the healthy and safe ranges. 8. A shoulder dynamic simulation monitoring device, characterized in that the device comprises: a first end, a second end, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the shoulder dynamic simulation monitoring method as described in any one of claims 1 to 6. 9. A storage medium, characterized in that the storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of the shoulder dynamic simulation monitoring method as described in any one of claims 1 to 6 are implemented.