A method and device for evaluating limb motor function

Abstract

The present invention discloses a method and device for evaluating limb movement function, the method comprising: obtaining resistance movement pattern information; the resistance movement pattern information is used to display on a detection module to instruct a user to perform limb movement; using the dynamic movement and load increment method displayed on the detection module to instruct the user to perform limb movement, and using the detection module to perform dynamic image acquisition of the user's execution of the pattern action corresponding to the resistance movement pattern information to obtain key position space three-dimensional data information; using a standard action database to compare and analyze the key position space three-dimensional data information to obtain limb movement function evaluation information; the standard action database includes a number of standard action angle values. It can be seen that the present invention is conducive to improving the level of limb movement function evaluation and analysis, and improving the sensitivity and operability of limb function evaluation, so as to accurately and intelligently identify weak links or abnormal postures in the process of limb movement.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method and device for evaluating limb motor function. Background Art

[0002] The current posture and limb function assessment technology uses static limb observation or movement completion level as the evaluation method, which makes it difficult to detect functional problems that occur during limb movement, especially abnormal limb movement function characterized by "dynamic chain" movements controlled by multi-joint muscles. Therefore, a limb movement function evaluation method and device are provided to improve the level of limb movement function evaluation and analysis, and to improve the sensitivity and operability of limb function evaluation, so as to accurately and intelligently identify weak links or abnormal postures during limb movement. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a method and device for evaluating limb motor function, which can utilize a detection module to capture dynamic images of the pattern movements corresponding to the resistance exercise pattern information executed by the user, and perform comprehensive processing of data information extraction and comparative analysis to obtain limb motor function evaluation information, which is beneficial to improving the level of limb motor function evaluation and analysis, and improving the sensitivity and operability of limb function evaluation, so as to accurately and intelligently identify weak links or abnormal postures in the limb movement process.

[0004] In order to solve the above technical problems, the first aspect of the embodiment of the present invention discloses a method for evaluating limb motor function, the method comprising:

[0005] Obtaining resistance exercise mode information; the resistance exercise mode information is used to be displayed on the detection module to instruct the user to perform limb exercise;

[0006] Instructing the user to perform limb movement by means of dynamic movement and load increment displayed on the detection module, and using the detection module to collect dynamic images of the user's execution of the pattern action corresponding to the resistance exercise pattern information to obtain three-dimensional data information of key position space;

[0007] The three-dimensional data information of the key position space is compared and analyzed using a standard action database to obtain limb movement function evaluation information; the standard action database includes a number of standard action angle values.

[0008] As an optional implementation, in the first aspect of the embodiment of the present invention, the use of the standard action database to compare and analyze the three-dimensional data information of the key position space to obtain the limb movement function evaluation information includes:

[0009] Performing angle recognition and calculation processing on the three-dimensional data information of the key position space to obtain action angle information; the action angle information includes first action angle information, second action angle information, third action angle information and fourth action angle information;

[0010] Screening out a number of standard action angle values ​​that match the resistance exercise pattern information from a standard action database as first standard action angle value information; the first standard action angle value information includes at least 6 first standard action angle values;

[0011] The first standard action angle value information and the action angle information are compared and analyzed to obtain limb movement function evaluation information.

[0012] As an optional implementation manner, in the first aspect of the embodiment of the present invention, the comparative analysis of the first standard action angle value information and the action angle information to obtain the limb movement function evaluation information includes:

[0013] Comparing and analyzing the first standard action angle value information and the first action angle information to obtain first evaluation information; the first action angle information represents the posture angle of the user during the standing long jump; the first action angle information includes joint angle information, force compensation angle information, core stability angle information and limb symmetry angle information;

[0014] Compare and analyze the first standard action angle value information and the second action angle information to obtain second evaluation information;

[0015] Comparing and analyzing the first standard action angle value information and the third action angle information to obtain third evaluation information;

[0016] Comparing and analyzing the first standard action angle value information and the fourth action angle information to obtain fourth evaluation information;

[0017] Performing data correction and aggregation processing on abnormal values ​​in the first evaluation information, the second evaluation information, the third evaluation information, and the fourth evaluation information to obtain abnormal value evaluation information;

[0018] The first evaluation information, the second evaluation information, the third evaluation information, the fourth evaluation information and the abnormal value evaluation information are integrated to obtain limb motor function evaluation information.

[0019] As an optional implementation manner, in the first aspect of the embodiment of the present invention, the comparative analysis of the first standard action angle value information and the first action angle information to obtain the first evaluation information includes:

[0020] The first standard action angle value information is screened to obtain second standard action angle information; the second standard action angle information includes first standard angle value information, second standard angle value information, third standard angle value information and fourth standard angle value information;

[0021] The joint angle information is compared and judged by using the first standard angle value information in the second standard action angle information to obtain joint angle evaluation information; the joint angle evaluation information represents the movement function of the user's ankle joint, knee joint and hip joint at the moment of take-off;

[0022] Comparing and judging the force compensation angle information with the second standard angle value information in the second standard action angle information to obtain force compensation angle evaluation information;

[0023] Using the third standard angle value information in the second standard action angle information to compare and judge the core stability angle information, to obtain core stability angle evaluation information;

[0024] Using the fourth standard angle value information in the second standard action angle information to compare and judge the limb symmetry angle information, to obtain limb symmetry angle evaluation information;

[0025] The joint angle evaluation information, the strength compensation angle evaluation information, the core stability angle evaluation information and the limb symmetry angle evaluation information are subjected to structured filling processing to obtain first evaluation information.

[0026] As an optional implementation manner, in the first aspect of the embodiment of the present invention, the first standard angle value information includes a first standard joint angle value, a second standard joint angle value, a third standard joint angle value and a fourth standard joint angle value;

[0027] The joint angle information includes a first joint angle value, a second joint angle value, a third joint angle value and a fourth joint angle value;

[0028] The joint angle evaluation information includes ankle joint evaluation information, knee joint evaluation information and hip joint information;

[0029] The step of comparing and judging the joint angle information by using the first standard angle value information in the second standard action angle information to obtain the joint angle evaluation information includes:

[0030] Determine whether the first joint angle value is less than the first standard joint angle value, and obtain a first joint determination result;

[0031] When the first joint judgment result is yes, judging whether the second joint angle value is less than the second standard joint angle value, and obtaining a second joint judgment result;

[0032] When the second joint determination result is yes, determining that the ankle joint evaluation information is that the ankle joint is normal;

[0033] When the second joint determination result is negative, determining that the ankle joint evaluation information is ankle joint abnormality;

[0034] When the first joint judgment result is no, determining that the ankle joint evaluation information is ankle joint abnormality;

[0035] Determine whether the third joint angle value is less than the third standard joint angle value, and obtain a third joint determination result;

[0036] When the third joint judgment result is yes, determining that the knee joint evaluation information is knee joint abnormality;

[0037] When the third joint judgment result is no, determining that the knee joint evaluation information is that the knee joint is normal;

[0038] Determine whether the fourth joint angle value is less than the fourth standard joint angle value, and obtain a fourth joint determination result;

[0039] When the fourth joint judgment result is yes, determining that the hip joint evaluation information is that the hip joint is normal;

[0040] When the fourth joint judgment result is negative, the hip joint evaluation information is determined to be hip joint abnormality.

[0041] As an optional implementation, in the first aspect of the embodiment of the present invention, the detection module includes an evaluation image acquisition device (501), a human-computer interaction screen (502), a resistance band (503), a displaceable damping foot pad (504), a resistance band slide rail (505), a resistance band pulley (506) and a resistance sensing control device (507); the evaluation image acquisition device (501) includes 4 image acquisition devices;

[0042] The method of using the dynamic motion and load increment displayed on the detection module to instruct the user to perform limb movement, and using the detection module to perform dynamic image acquisition of the user's execution of the mode action corresponding to the resistance exercise mode information to obtain key position space three-dimensional data information, including:

[0043] The user is instructed to perform limb movement by means of dynamic movement and load increment displayed on the detection module, and three rounds of dynamic image acquisition are performed on the user's execution of the pattern movement corresponding to the resistance movement pattern information by means of four image acquisition devices to obtain first movement image information; the first movement image information includes three dynamic image information; the dynamic image information represents the limb movement image of the user performing the pattern movement corresponding to the resistance movement pattern information under different movement resistances;

[0044] The second action image information is identified and key position space data is extracted to obtain key position space three-dimensional data information.

[0045] As an optional implementation, in the first aspect of the embodiment of the present invention, the dynamic image information includes 4 image information;

[0046] The step of identifying the second action image information and extracting key position spatial data to obtain key position spatial three-dimensional data information includes:

[0047] For any of the dynamic image information, performing human body position recognition processing on the four image information in the dynamic image information to obtain human body position spatial information corresponding to the dynamic image information;

[0048] Using a preset limb matrix to perform key position spatial information extraction and data structure filling processing on the human body position spatial information, to obtain limb matrix information corresponding to the dynamic image information;

[0049] All the limb matrix information is weighted averaged to obtain key position spatial three-dimensional data information.

[0050] A second aspect of an embodiment of the present invention discloses a limb motor function evaluation device, the device comprising:

[0051] An acquisition module, used for acquiring resistance exercise pattern information; the resistance exercise pattern information is used for displaying on the detection module to instruct the user to perform limb exercise;

[0052] A collection module, used to instruct the user to perform limb movement by using the dynamic movement and load increment displayed on the detection module, and to use the detection module to perform dynamic image collection of the user's execution of the pattern action corresponding to the resistance exercise pattern information, so as to obtain three-dimensional data information of the key position space;

[0053] The comparison and analysis module is used to compare and analyze the three-dimensional data information of the key position space using a standard action database to obtain limb movement function evaluation information; the standard action database includes a number of standard action angle values.

[0054] As an optional implementation, in the second aspect of the embodiment of the present invention, the comparison and analysis module uses the standard action database to compare and analyze the three-dimensional data information of the key position space, and the specific method of obtaining the limb movement function evaluation information is:

[0055] Performing angle recognition and calculation processing on the three-dimensional data information of the key position space to obtain action angle information; the action angle information includes first action angle information, second action angle information, third action angle information and fourth action angle information;

[0056] Screening out a number of standard action angle values ​​that match the resistance exercise pattern information from a standard action database as first standard action angle value information; the first standard action angle value information includes at least 6 first standard action angle values;

[0057] The first standard action angle value information and the action angle information are compared and analyzed to obtain limb movement function evaluation information.

[0058] As an optional implementation, in the second aspect of the embodiment of the present invention, the comparison and analysis module compares and analyzes the first standard action angle value information and the action angle information to obtain limb movement function evaluation information, including:

[0059] Comparing and analyzing the first standard action angle value information and the first action angle information to obtain first evaluation information; the first action angle information represents the posture angle of the user during the standing long jump; the first action angle information includes joint angle information, force compensation angle information, core stability angle information and limb symmetry angle information;

[0060] Compare and analyze the first standard action angle value information and the second action angle information to obtain second evaluation information;

[0061] Comparing and analyzing the first standard action angle value information and the third action angle information to obtain third evaluation information;

[0062] Comparing and analyzing the first standard action angle value information and the fourth action angle information to obtain fourth evaluation information;

[0063] Performing data correction and aggregation processing on abnormal values ​​in the first evaluation information, the second evaluation information, the third evaluation information, and the fourth evaluation information to obtain abnormal value evaluation information;

[0064] The first evaluation information, the second evaluation information, the third evaluation information, the fourth evaluation information and the abnormal value evaluation information are integrated to obtain limb motor function evaluation information.

[0065] As an optional implementation, in the second aspect of the embodiment of the present invention, the comparison and analysis module compares and analyzes the first standard action angle value information and the first action angle information to obtain the first evaluation information in the following specific manner:

[0066] The first standard action angle value information is screened to obtain second standard action angle information; the second standard action angle information includes first standard angle value information, second standard angle value information, third standard angle value information and fourth standard angle value information;

[0067] The joint angle information is compared and judged by using the first standard angle value information in the second standard action angle information to obtain joint angle evaluation information; the joint angle evaluation information represents the movement function of the user's ankle joint, knee joint and hip joint at the moment of take-off;

[0068] Comparing and judging the force compensation angle information with the second standard angle value information in the second standard action angle information to obtain force compensation angle evaluation information;

[0069] Using the third standard angle value information in the second standard action angle information to compare and judge the core stability angle information, to obtain core stability angle evaluation information;

[0070] Using the fourth standard angle value information in the second standard action angle information to compare and judge the limb symmetry angle information, to obtain limb symmetry angle evaluation information;

[0071] The joint angle evaluation information, the strength compensation angle evaluation information, the core stability angle evaluation information and the limb symmetry angle evaluation information are subjected to structured filling processing to obtain first evaluation information.

[0072] As an optional implementation manner, in the second aspect of the embodiment of the present invention, the first standard angle value information includes a first standard joint angle value, a second standard joint angle value, a third standard joint angle value and a fourth standard joint angle value;

[0073] The joint angle information includes a first joint angle value, a second joint angle value, a third joint angle value and a fourth joint angle value;

[0074] The joint angle evaluation information includes ankle joint evaluation information, knee joint evaluation information and hip joint information;

[0075] The comparison and analysis module compares and judges the joint angle information using the first standard angle value information in the second standard action angle information, and obtains the joint angle evaluation information in a specific manner as follows:

[0076] Determine whether the first joint angle value is less than the first standard joint angle value, and obtain a first joint determination result;

[0077] When the first joint judgment result is yes, judging whether the second joint angle value is less than the second standard joint angle value, and obtaining a second joint judgment result;

[0078] When the second joint determination result is yes, determining that the ankle joint evaluation information is that the ankle joint is normal;

[0079] When the second joint determination result is negative, determining that the ankle joint evaluation information is ankle joint abnormality;

[0080] When the first joint judgment result is no, determining that the ankle joint evaluation information is ankle joint abnormality;

[0081] Determine whether the third joint angle value is less than the third standard joint angle value, and obtain a third joint determination result;

[0082] When the third joint judgment result is yes, determining that the knee joint evaluation information is knee joint abnormality;

[0083] When the third joint judgment result is no, determining that the knee joint evaluation information is that the knee joint is normal;

[0084] Determine whether the fourth joint angle value is less than the fourth standard joint angle value, and obtain a fourth joint determination result;

[0085] When the fourth joint judgment result is yes, determining that the hip joint evaluation information is that the hip joint is normal;

[0086] When the fourth joint judgment result is negative, the hip joint evaluation information is determined to be hip joint abnormality.

[0087] As an optional implementation, in the second aspect of the embodiment of the present invention, the detection module includes an evaluation image acquisition device (501), a human-computer interaction screen (502), a resistance band (503), a displaceable damping foot pad (504), a resistance band slide rail (505), a resistance band pulley (506) and a resistance sensing control device (507); the evaluation image acquisition device (501) includes 4 image acquisition devices;

[0088] The acquisition module uses the dynamic motion and load increment displayed on the detection module to instruct the user to perform limb movement, and uses the detection module to perform dynamic image acquisition of the user's execution of the mode action corresponding to the resistance exercise mode information, and the specific method of obtaining the key position space three-dimensional data information is:

[0089] The user is instructed to perform limb movement by means of dynamic movement and load increment displayed on the detection module, and three rounds of dynamic image acquisition are performed on the user's execution of the pattern movement corresponding to the resistance movement pattern information by means of four image acquisition devices to obtain first movement image information; the first movement image information includes three dynamic image information; the dynamic image information represents the limb movement image of the user performing the pattern movement corresponding to the resistance movement pattern information under different movement resistances;

[0090] The second action image information is identified and key position space data is extracted to obtain key position space three-dimensional data information.

[0091] As an optional implementation, in the second aspect of the embodiment of the present invention, the dynamic image information includes 4 image information;

[0092] The specific method in which the acquisition module identifies the second action image information and extracts the key position spatial data to obtain the key position spatial three-dimensional data information is:

[0093] For any of the dynamic image information, performing human body position recognition processing on the four image information in the dynamic image information to obtain human body position spatial information corresponding to the dynamic image information;

[0094] Using a preset limb matrix to perform key position spatial information extraction and data structure filling processing on the human body position spatial information, to obtain limb matrix information corresponding to the dynamic image information;

[0095] All the limb matrix information is weighted averaged to obtain key position spatial three-dimensional data information.

[0096] The third aspect of the present invention discloses another limb motor function evaluation device, the device comprising:

[0097] A memory storing executable program code;

[0098] a processor coupled to the memory;

[0099] The processor calls the executable program code stored in the memory to execute part or all of the steps in the limb motor function evaluation method disclosed in the first aspect of the embodiment of the present invention.

[0100] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute some or all of the steps in the limb motor function evaluation method disclosed in the first aspect of the embodiment of the present invention.

[0101] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0102] In the embodiment of the present invention, the resistance movement pattern information is obtained; the resistance movement pattern information is used to be displayed on the detection module to instruct the user to perform limb movement; the detection module is used to collect dynamic images of the user's execution of the pattern action corresponding to the resistance movement pattern information to obtain the key position space three-dimensional data information; the key position space three-dimensional data information is compared and analyzed using a standard action database to obtain limb movement function evaluation information; the standard action database includes several standard action angle values. It can be seen that the present invention is conducive to improving the level of limb movement function evaluation and analysis, and improving the sensitivity and operability of limb function evaluation, so as to accurately and intelligently identify weak links or abnormal postures in the process of limb movement. BRIEF DESCRIPTION OF THE DRAWINGS

[0103] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0104] Figure 1 It is a flow chart of a method for evaluating limb motor function disclosed in an embodiment of the present invention;

[0105] Figure 2 It is a flow chart of another method for evaluating limb motor function disclosed in an embodiment of the present invention;

[0106] Figure 3 It is a structural schematic diagram of a limb motor function evaluation device disclosed in an embodiment of the present invention;

[0107] Figure 4 It is a structural schematic diagram of another limb motor function evaluation device disclosed in an embodiment of the present invention;

[0108] Figure 5 It is a structural schematic diagram of a detection module disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0109] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0110] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or equipment that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or equipment.

[0111] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0112] The present invention discloses a method and device for evaluating limb motor function, which can use a detection module to collect dynamic images of the pattern action corresponding to the user's resistance exercise pattern information and perform comprehensive processing of data information extraction and comparative analysis to obtain limb motor function evaluation information, which is conducive to improving the level of limb motor function evaluation and analysis, and improving the sensitivity and operability of limb function evaluation, so as to accurately and intelligently identify weak links or abnormal postures in the process of limb movement. The following are detailed descriptions.

[0113] Embodiment 1

[0114] See also Figure 1 , Figure 1 is a flow chart of a method for evaluating limb motor function disclosed in an embodiment of the present invention. Figure 1 The described limb motor function evaluation method is applied to a data processing system, such as a local server or cloud server for limb motor function evaluation management, and the embodiments of the present invention do not limit this. Figure 1 As shown, the limb motor function evaluation method may include the following operations:

[0115] 101. Obtain resistance exercise mode information.

[0116] In the embodiment of the present invention, the resistance exercise pattern information is used to be displayed on the detection module to instruct the user to perform limb exercise.

[0117] 102. Use the dynamic motion and load increase displayed on the detection module to instruct the user to perform limb movement, and use the detection module to capture dynamic images of the user's pattern movements corresponding to the resistance exercise pattern information to obtain three-dimensional data information of key position space.

[0118] 103. Use the standard action database to compare and analyze the three-dimensional data information of key position space to obtain limb movement function evaluation information.

[0119] In the embodiment of the present invention, the above-mentioned standard action database includes a plurality of standard action angle values.

[0120] Optionally, the above-mentioned resistance exercise mode information includes standing long jump mode information, standing single-arm extension and pulling elastic band rotation mode information, standing single-arm raising and pulling elastic band back extension mode information and single-leg standing and pulling elastic band straight leg abduction / adduction mode information.

[0121] Optionally, the user can achieve a dynamic assessment of the limb movement function of core rotation / flexion and extension stability, forearm muscle strength, upper arm stability, ankle joint stability, hip joint strength, leg strength and limb mechanical symmetry by performing the pattern movements corresponding to the above-mentioned resistance exercise pattern information.

[0122] Optional, such as Figure 5 As shown, the above-mentioned detection module includes an evaluation image acquisition device 501, a human-computer interaction screen 502, a resistance band 503, a displaceable damping foot pad 504, a resistance band slide rail 505, a resistance band pulley 506 and a resistance sensing control device 507.

[0123] Optionally, the evaluation image acquisition device 501 includes four image acquisition devices, namely, a first image acquisition device 5011 , a second image acquisition device 5012 , a third image acquisition device 5013 and a fourth image acquisition device 5014 .

[0124] Optionally, the resistance band pulley 506 includes a pair of resistance band pulleys, namely, resistance band pulley A and resistance band pulley B. Further, the resistance starting point can be changed by adjusting the pair of resistance band pulleys 506 to improve the evaluation efficiency.

[0125] Optionally, the above-mentioned four image acquisition devices are located at four azimuth angles of the above-mentioned detection module to achieve 360° image acquisition of the user.

[0126] Optionally, the human-computer interaction screen 502 is used to display resistance exercise mode information.

[0127] Optionally, the resistance sensing control device 507 is used to control the resistance applied to the user.

[0128] Optionally, the above-mentioned use of dynamic motion and load increase displayed on the detection module to instruct the user to perform limb exercise is to display the resistance exercise pattern information on the human-computer interaction screen 502, and use the above-mentioned resistance sensing control device 507 to apply 20%, 70% and 90% of the user's maximum test force in sequence when the user performs each pattern action corresponding to the above-mentioned resistance exercise pattern information three times, so as to gradually induce abnormal limb movement function of the user and amplify the weak points of the user's limb movement function.

[0129] Optionally, the above-mentioned maximum test strength of the user is measured by a detection module before the user performs a pattern action corresponding to the resistance exercise pattern information.

[0130] In this optional embodiment, as an optional implementation, the above-mentioned user's maximum test strength is obtained based on the following steps:

[0131] Start the human-computer interaction screen 502;

[0132] The human-computer interaction screen 502 displays demonstration actions;

[0133] The user performs strength tests three times according to the demonstration movements, and obtains the strength test results through feedback from the resistance sensing control device 507; the strength test results include three strength values;

[0134] The three strength values ​​in the strength test results are averaged to obtain the user's maximum test strength.

[0135] Optionally, the resistance band pulley 506 is used to guide the resistance band 503 to transmit the pressure applied by the resistance sensing control device 507 to the user.

[0136] Optionally, the above-mentioned displaceable damping foot pad 504 is used to indicate the user's standing position.

[0137] Optionally, the resistance band slide rail 505 is used to guide and fix the resistance band pulley 506.

[0138] Optionally, the third image acquisition device 5013, the human-computer interaction screen 502, the resistance band slide rail 505, the resistance band pulley 506 and the resistance sensing control device 507 are located on the same side of the detection module.

[0139] Optionally, the third image acquisition device 5013 and the resistance sensing control device 507 are respectively located at two ends of the resistance band slide rail 505 .

[0140] Optionally, the resistance band 503 is located in the inner space of the detection module.

[0141] Optionally, the above comparative analysis of the three-dimensional data information of the key position space is performed dynamically in real time.

[0142] It can be seen that the limb motor function evaluation method described in the embodiment of the present invention can utilize the detection module to capture dynamic images of the pattern actions corresponding to the user's resistance exercise pattern information and perform comprehensive processing of data information extraction and comparative analysis to obtain limb motor function evaluation information, which is beneficial to improving the level of limb motor function evaluation and analysis, and improving the sensitivity and operability of limb function evaluation, so as to accurately and intelligently identify weak links or abnormal postures in the limb movement process.

[0143] In an optional embodiment, in the above step 103, the standard action database is used to compare and analyze the three-dimensional data information of the key position space to obtain the limb movement function evaluation information, including:

[0144] Performing angle recognition and calculation processing on the three-dimensional data information of the key position space to obtain action angle information; the action angle information includes first action angle information, second action angle information, third action angle information and fourth action angle information;

[0145] Screening out a number of standard action angle values ​​that match the resistance exercise pattern information from a standard action database as first standard action angle value information; the first standard action angle value information includes at least 6 first standard action angle values;

[0146] The first standard action angle value information and the action angle information are compared and analyzed to obtain limb movement function evaluation information.

[0147] Optionally, the second action angle information represents the posture angle of the user when standing with one arm extended forward and pulling the elastic band to turn the body.

[0148] Optionally, the third action angle information represents the posture angle of the user when performing a standing position of raising one arm and pulling the elastic band to do back extension.

[0149] Optionally, the fourth action angle information represents the posture angle of the user when standing on one leg and pulling the elastic band to perform straight-leg abduction / adduction.

[0150] Optionally, the above-mentioned standard action database is generated by analyzing learning data of a large sample of standard human body actions.

[0151] It can be seen that the limb movement function evaluation method described in the embodiment of the present invention can use the standard action database to compare and analyze the three-dimensional data information of the key position space to obtain limb movement function evaluation information, which is beneficial to improve the level of limb movement function evaluation and analysis, and improve the sensitivity and operability of limb function evaluation, so as to accurately and intelligently identify weak links or abnormal postures in the limb movement process.

[0152] In another optional embodiment, the comparison and analysis of the first standard action angle value information and the action angle information to obtain the limb movement function evaluation information includes:

[0153] Comparing and analyzing the first standard action angle value information and the first action angle information, first evaluation information is obtained; the first action angle information represents the posture angle of the user during the standing long jump; the first action angle information includes joint angle information, force compensation angle information, core stability angle information and limb symmetry angle information;

[0154] Comparing and analyzing the first standard action angle value information and the second action angle information to obtain second evaluation information;

[0155] Comparing and analyzing the first standard action angle value information and the third action angle information to obtain third evaluation information;

[0156] Comparing and analyzing the first standard action angle value information and the fourth action angle information to obtain fourth evaluation information;

[0157] Performing data correction and aggregation processing on the outliers in the first evaluation information, the second evaluation information, the third evaluation information, and the fourth evaluation information to obtain outlier evaluation information;

[0158] The first evaluation information, the second evaluation information, the third evaluation information, the fourth evaluation information and the abnormal value evaluation information are integrated and processed to obtain the limb motor function evaluation information.

[0159] Optionally, the force compensation angle information represents the movement functions of the user's ankle joints, knee joints and hip joints at the moment of take-off when performing a standing long jump.

[0160] Optionally, the core stability angle information represents the deviation of the thoracic and lumbar spine position and the pelvic ring plane angle of the user when performing standing long jump.

[0161] Optionally, the above-mentioned limb symmetry angle information represents the angle deviation of the tibia and femur of the user when performing standing long jump.

[0162] It can be seen that the limb movement function evaluation method described in the embodiment of the present invention can obtain limb movement function evaluation information by comparing and analyzing the first standard action angle value information and the action angle information, which is beneficial to improving the level of limb movement function evaluation and analysis, and improving the sensitivity and operability of limb function evaluation, so as to accurately and intelligently identify weak links or abnormal postures in the limb movement process.

[0163] In yet another optional embodiment, the first standard action angle value information and the first action angle information are compared and analyzed to obtain the first evaluation information, including:

[0164] The first standard action angle value information is screened to obtain second standard action angle information; the second standard action angle information includes first standard angle value information, second standard angle value information, third standard angle value information and fourth standard angle value information;

[0165] The joint angle information is compared and judged by using the first standard angle value information in the second standard action angle information to obtain joint angle evaluation information; the joint angle evaluation information represents the movement function of the user's ankle joint, knee joint and hip joint at the moment of take-off;

[0166] Using the second standard angle value information in the second standard action angle information to compare and judge the force compensation angle information, to obtain force compensation angle evaluation information;

[0167] Using the third standard angle value information in the second standard action angle information to compare and judge the core stability angle information, to obtain core stability angle evaluation information;

[0168] Using the fourth standard angle value information in the second standard action angle information to compare and judge the limb symmetry angle information, to obtain limb symmetry angle evaluation information;

[0169] The joint angle evaluation information, the strength compensation angle evaluation information, the core stability angle evaluation information and the limb symmetry angle evaluation information are structured and filled to obtain the first evaluation information.

[0170] Optionally, the force compensation angle information includes the ankle inversion or eversion angle at the moment of take-off, the knee joint angle at the moment of take-off, and the hip joint angle at the moment of take-off.

[0171] Optionally, the above-mentioned second standard angle value information includes a first standard force angle value, a second standard force angle value and a third standard force angle value.

[0172] In this optional embodiment, as an optional implementation, the specific method of comparing and judging the force compensation angle information using the second standard angle value information in the second standard action angle information to obtain the force compensation angle evaluation information is:

[0173] Determine whether the ankle joint inversion or eversion angle at the moment of take-off is less than the first standard force angle value, and obtain a first force determination result;

[0174] When the first strength judgment result is negative, the strength compensation angle evaluation information is determined to be abnormal strength compensation, and the current process is terminated;

[0175] When the first strength judgment result is yes, judging whether the knee joint angle at the moment of take-off is greater than or equal to the second standard strength angle value, and obtaining a second strength judgment result;

[0176] When the second strength judgment result is negative, the strength compensation angle evaluation information is determined to be abnormal strength compensation, and the current process is terminated;

[0177] When the second strength judgment result is yes, judging whether the hip joint angle at the moment of take-off is greater than or equal to the third standard strength angle value, and obtaining a third strength judgment result;

[0178] When the third strength judgment result is yes, it is determined that the strength compensation angle evaluation information is normal;

[0179] When the third strength judgment result is negative, it is determined that the strength compensation angle evaluation information is abnormal.

[0180] Preferably, the first standard force angle value is 20°.

[0181] Preferably, the second standard force angle value is 80°.

[0182] Preferably, the third standard force angle value is 50°.

[0183] Optionally, the core stability angle information includes segment length ratio and the angle of the pelvic ring plane deviation from the horizontal line.

[0184] Optionally, the above segment length ratio represents the change in the deviation of the thoracic and lumbar spine from the sagittal plane during the movement.

[0185] Optionally, the third standard angle value information includes the first standard core ratio and the first standard core angle value.

[0186] In this optional embodiment, as another optional implementation, the specific method of comparing and judging the core stability angle information using the third standard angle value information in the second standard action angle information to obtain the core stability angle evaluation information is:

[0187] Determine whether the segment length ratio is less than the first standard core ratio, and obtain a first core determination result;

[0188] When the first core judgment result is no, the core stability angle evaluation information is determined to be abnormal core stability, and the current process is terminated;

[0189] When the first core judgment result is yes, determine whether the first standard core angle value is greater than or equal to the first standard core angle value to obtain a second core judgment result;

[0190] When the second core judgment result is no, determining that the core stability angle evaluation information is that the core stability is normal;

[0191] When the second core determination result is negative, the core stability angle evaluation information is determined to be abnormal in the core stability condition.

[0192] Preferably, the first standard core ratio is 20%.

[0193] Preferably, the first standard core angle value is 10°.

[0194] Optionally, the above-mentioned limb symmetry angle information includes an angle difference angle and a deviation ratio.

[0195] Optionally, the angle difference angle represents the angle difference between the bilateral tibia and femur and the vertical axis at the moment of take-off.

[0196] Optionally, the above deviation ratio represents the deviation ratio of the distal ends of the left and right tibias and femurs relative to the axially symmetrical position during take-off.

[0197] Optionally, the fourth standard angle value information includes a first standard angle value and a first standard deviation value.

[0198] In this optional embodiment, as another optional implementation, the specific method of comparing and judging the limb symmetry angle information using the fourth standard angle value information in the second standard action angle information to obtain the limb symmetry angle evaluation information is:

[0199] Determine whether the angle difference is less than the first standard angle value, and obtain a first symmetry determination result;

[0200] When the first symmetry judgment result is negative, the limb symmetry angle evaluation information is determined to be abnormal, and the current process is terminated;

[0201] When the first symmetry judgment result is yes, judging whether the deviation ratio is less than the first standard deviation value, and obtaining a second symmetry judgment result;

[0202] When the second symmetry judgment result is no, determining that the limb symmetry angle evaluation information is normal;

[0203] When the second symmetry judgment result is no, it is determined that the limb symmetry angle evaluation information is abnormal.

[0204] Preferably, the first standard angle value is 15°.

[0205] Preferably, the first standard deviation value is 20%.

[0206] It can be seen that the limb movement function evaluation method described in the embodiment of the present invention can obtain the first evaluation information by comparing and analyzing the first standard action angle value information and the first action angle information, which is more conducive to improving the level of limb movement function evaluation and analysis, and improving the sensitivity and operability of limb function evaluation, so as to accurately and intelligently identify weak links or abnormal postures in the limb movement process.

[0207] In yet another optional embodiment, the first standard angle value information includes a first standard joint angle value, a second standard joint angle value, a third standard joint angle value, and a fourth standard joint angle value;

[0208] The joint angle information includes a first joint angle value, a second joint angle value, a third joint angle value and a fourth joint angle value;

[0209] The joint angle evaluation information includes ankle joint evaluation information, knee joint evaluation information and hip joint information;

[0210] The first standard angle value information in the second standard action angle information is used to compare and judge the joint angle information to obtain joint angle evaluation information, including:

[0211] Determine whether the first joint angle value is less than the first standard joint angle value, and obtain a first joint determination result;

[0212] When the first joint judgment result is yes, determine whether the second joint angle value is less than the second standard joint angle value to obtain the second joint judgment result;

[0213] When the second joint judgment result is yes, the ankle joint evaluation information is determined to be normal;

[0214] When the second joint judgment result is negative, the ankle joint evaluation information is determined to be ankle joint abnormality;

[0215] When the first joint judgment result is negative, the ankle joint evaluation information is determined to be ankle joint abnormality;

[0216] Determine whether the third joint angle value is less than the third standard joint angle value, and obtain a third joint determination result;

[0217] When the third joint judgment result is yes, the knee joint evaluation information is determined to be knee joint abnormality;

[0218] When the third joint judgment result is negative, the knee joint evaluation information is determined to be normal;

[0219] Determine whether the fourth joint angle value is less than the fourth standard joint angle value, and obtain the fourth joint determination result;

[0220] When the fourth joint judgment result is yes, the hip joint evaluation information is determined to be normal;

[0221] When the fourth joint judgment result is negative, the hip joint evaluation information is determined to be hip joint abnormality.

[0222] Preferably, the first standard joint angle value is 65°.

[0223] Optionally, the second standard joint angle value is 30°.

[0224] Optionally, the third standard joint angle value is 170°.

[0225] Optionally, the fourth standard joint angle value is 80°.

[0226] Optionally, the first joint angle value represents the angle of both ankle joints at the moment of take-off.

[0227] Optionally, the second joint angle value represents the difference in bilateral ankle joint angles during the entire take-off process.

[0228] Optionally, the third joint angle value represents the coronal plane tibia / femur angle of the entire take-off process.

[0229] Optionally, the fourth joint angle value represents the hip joint angle during the entire take-off process.

[0230] Optionally, by judging and analyzing the angle of both ankle joints at the moment of take-off, the difference in the angles of both ankle joints during the entire take-off process, the coronal plane tibia / femur angle during the entire take-off process, and the hip joint angle during the entire take-off process, abnormal postures of users during standing long jump can be accurately identified.

[0231] It can be seen that the limb movement function evaluation method described in the embodiment of the present invention can use the first standard angle value information in the second standard action angle information to compare and judge the joint angle information, and obtain joint angle evaluation information, which is more conducive to improving the limb movement function evaluation and analysis level, and improving the sensitivity and operability of limb function evaluation, so as to accurately and intelligently identify weak links or abnormal postures in the limb movement process.

[0232] Embodiment 2

[0233] See also Figure 2 , Figure 2 is a flow chart of another method for evaluating limb motor function disclosed in an embodiment of the present invention. Figure 2 The described limb motor function evaluation method is applied to a data processing system, such as a local server or cloud server for limb motor function evaluation management, and the embodiments of the present invention do not limit this. Figure 2As shown, the limb motor function evaluation method may include the following operations:

[0234] 201. Obtain resistance exercise mode information.

[0235] 202. Instruct the user to perform limb movement by means of dynamic movement and load increase displayed on the detection module, and use four image acquisition devices to perform three rounds of dynamic image acquisition on the user's pattern movement corresponding to the resistance exercise pattern information to obtain first motion image information.

[0236] In the embodiment of the present invention, the first action image information includes three dynamic image information.

[0237] In the embodiment of the present invention, the dynamic image information represents the limb movement image of the user performing the pattern action corresponding to the resistance exercise pattern information under different exercise resistances.

[0238] 203. Identify the second action image information and extract key position space data to obtain key position space three-dimensional data information.

[0239] 204. The standard action database is used to compare and analyze the three-dimensional data information of key position space to obtain limb movement function evaluation information.

[0240] In the embodiment of the present invention, for the specific technical details and technical terminology of step 201 and step 204, reference may be made to the detailed description of step 101 and step 103 in the first embodiment, and the embodiment of the present invention will not be repeated herein.

[0241] In this optional embodiment, as an optional implementation, the specific method of using the standard action database to compare and analyze the three-dimensional data information of the key position space to obtain the limb movement function evaluation information is:

[0242] Input the three-dimensional data information of key position space into the limb standard model based on efficient convolutional neural network for time series analysis to obtain the action angle deviation information;

[0243] The movement angle deviation information is compared with the standard movement database in terms of movement amplitude to obtain limb movement function evaluation information.

[0244] It can be seen that the limb motor function evaluation method described in the embodiment of the present invention can utilize the detection module to capture dynamic images of the pattern actions corresponding to the user's resistance exercise pattern information and perform comprehensive processing of data information extraction and comparative analysis to obtain limb motor function evaluation information, which is beneficial to improving the level of limb motor function evaluation and analysis, and improving the sensitivity and operability of limb function evaluation, so as to accurately and intelligently identify weak links or abnormal postures in the limb movement process.

[0245] In an optional embodiment, the dynamic image information includes 4 video image information;

[0246] The second action image information is identified and key position spatial data is extracted and processed to obtain key position spatial three-dimensional data information, including:

[0247] For any dynamic image information, the four image information in the dynamic image information are processed to identify the human body position, and the human body position space information corresponding to the dynamic image information is obtained;

[0248] Using a preset limb matrix to perform key position spatial information extraction and data structure filling processing on the human body position spatial information, to obtain limb matrix information corresponding to the dynamic image information;

[0249] All limb matrix information is weighted averaged to obtain three-dimensional data information of key position space.

[0250] In this optional embodiment, as an optional implementation, the specific method of extracting key position space information and filling data structure on the human body position space information using the preset limb matrix to obtain the limb matrix information corresponding to the dynamic image information is:

[0251] Project the above key position spatial information into a three-dimensional coordinate system to obtain spatial position parameter information;

[0252] The spatial position parameter information is translated and rotated from the three-dimensional coordinate system to the corresponding plane coordinate system, and trajectory angle data is calculated to obtain limb angle information;

[0253] Perform feature extraction on the above limb angle information to obtain key limb angle information;

[0254] The above key limb angle information is encoded and filled into a preset limb matrix to obtain the limb matrix information corresponding to the dynamic image information.

[0255] It can be seen that the limb motor function evaluation method described in the embodiment of the present invention can identify the second action image information and extract and process the key position space data to obtain key position space three-dimensional data information, which is more conducive to improving the level of limb motor function evaluation and analysis, and improving the sensitivity and operability of limb function evaluation, so as to accurately and intelligently identify weak links or abnormal postures in the limb movement process.

[0256] Embodiment 3

[0257] See also Figure 3 , Figure 3 : is a schematic diagram of a structure of a limb motor function evaluation device disclosed in an embodiment of the present invention. Figure 3 The described device can be applied to a data processing system, such as a local server or a cloud server for limb motor function evaluation and management, and the embodiments of the present invention are not limited thereto. Figure 3 As shown, the device may include:

[0258] The acquisition module 301 is used to acquire the resistance exercise mode information; the resistance exercise mode information is used to be displayed on the detection module to instruct the user to perform limb exercise;

[0259] The acquisition module 302 is used to instruct the user to perform limb movement by using the dynamic movement and load increment displayed on the detection module, and to use the detection module to perform dynamic image acquisition of the user's pattern movement corresponding to the resistance movement pattern information to obtain key position space three-dimensional data information;

[0260] The comparison and analysis module 303 is used to compare and analyze the three-dimensional data information of the key position space using the standard action database to obtain the limb movement function evaluation information; the standard action database includes a number of standard action angle values.

[0261] It can be seen that implementation Figure 3 The limb movement function evaluation device described can use the detection module to capture dynamic images of the pattern movements corresponding to the user's resistance movement pattern information and perform comprehensive processing of data information extraction and comparative analysis to obtain limb movement function evaluation information, which is beneficial to improving the level of limb movement function evaluation and analysis, and improving the sensitivity and operability of limb function evaluation, so as to accurately and intelligently identify weak links or abnormal postures in the limb movement process.

[0262] In another optional embodiment, the comparison and analysis module 303 uses the standard action database to compare and analyze the three-dimensional data information of the key position space, and the specific method of obtaining the limb movement function evaluation information is as follows:

[0263] Performing angle recognition and calculation processing on the three-dimensional data information of the key position space to obtain action angle information; the action angle information includes first action angle information, second action angle information, third action angle information and fourth action angle information;

[0264] Screening out a number of standard action angle values ​​that match the resistance exercise pattern information from a standard action database as first standard action angle value information; the first standard action angle value information includes at least 6 first standard action angle values;

[0265] The first standard action angle value information and the action angle information are compared and analyzed to obtain limb movement function evaluation information.

[0266] It can be seen that implementation Figure 3The limb movement function evaluation device described can use the standard action database to compare and analyze the three-dimensional data information of key position space to obtain limb movement function evaluation information, which is conducive to improving the level of limb movement function evaluation and analysis, and improving the sensitivity and operability of limb function evaluation, so as to accurately and intelligently identify weak links or abnormal postures in the limb movement process.

[0267] In another optional embodiment, the comparison and analysis module 303 compares and analyzes the first standard action angle value information and the action angle information to obtain limb movement function evaluation information, including:

[0268] Comparing and analyzing the first standard action angle value information and the first action angle information, first evaluation information is obtained; the first action angle information represents the posture angle of the user during the standing long jump; the first action angle information includes joint angle information, force compensation angle information, core stability angle information and limb symmetry angle information;

[0269] Comparing and analyzing the first standard action angle value information and the second action angle information to obtain second evaluation information;

[0270] Comparing and analyzing the first standard action angle value information and the third action angle information to obtain third evaluation information;

[0271] Comparing and analyzing the first standard action angle value information and the fourth action angle information to obtain fourth evaluation information;

[0272] Performing data correction and aggregation processing on the outliers in the first evaluation information, the second evaluation information, the third evaluation information, and the fourth evaluation information to obtain outlier evaluation information;

[0273] The first evaluation information, the second evaluation information, the third evaluation information, the fourth evaluation information and the abnormal value evaluation information are integrated and processed to obtain the limb motor function evaluation information.

[0274] It can be seen that implementation Figure 3 The described limb movement function evaluation device can obtain limb movement function evaluation information by comparing and analyzing the first standard action angle value information and the action angle information, which is beneficial to improving the level of limb movement function evaluation and analysis, and improving the sensitivity and operability of limb function evaluation, so as to accurately and intelligently identify weak links or abnormal postures in the limb movement process.

[0275] In another optional embodiment, the comparison and analysis module 303 compares and analyzes the first standard action angle value information and the first action angle information to obtain the first evaluation information in the following specific manner:

[0276] The first standard action angle value information is screened to obtain second standard action angle information; the second standard action angle information includes first standard angle value information, second standard angle value information, third standard angle value information and fourth standard angle value information;

[0277] The joint angle information is compared and judged by using the first standard angle value information in the second standard action angle information to obtain joint angle evaluation information; the joint angle evaluation information represents the movement function of the user's ankle joint, knee joint and hip joint at the moment of take-off;

[0278] Using the second standard angle value information in the second standard action angle information to compare and judge the force compensation angle information, to obtain force compensation angle evaluation information;

[0279] Using the third standard angle value information in the second standard action angle information to compare and judge the core stability angle information, to obtain core stability angle evaluation information;

[0280] Using the fourth standard angle value information in the second standard action angle information to compare and judge the limb symmetry angle information, to obtain limb symmetry angle evaluation information;

[0281] The joint angle evaluation information, the strength compensation angle evaluation information, the core stability angle evaluation information and the limb symmetry angle evaluation information are structured and filled to obtain the first evaluation information.

[0282] It can be seen that implementation Figure 3 The described limb movement function evaluation device can obtain first evaluation information by comparing and analyzing the first standard action angle value information and the first action angle information, which is more conducive to improving the level of limb movement function evaluation and analysis, and improving the sensitivity and operability of limb function evaluation, so as to accurately and intelligently identify weak links or abnormal postures in the limb movement process.

[0283] In yet another optional embodiment, the first standard angle value information includes a first standard joint angle value, a second standard joint angle value, a third standard joint angle value, and a fourth standard joint angle value;

[0284] The joint angle information includes a first joint angle value, a second joint angle value, a third joint angle value and a fourth joint angle value;

[0285] The joint angle evaluation information includes ankle joint evaluation information, knee joint evaluation information and hip joint information;

[0286] The comparison and analysis module 303 compares and determines the joint angle information using the first standard angle value information in the second standard action angle information, and obtains the joint angle evaluation information in the following specific manner:

[0287] Determine whether the first joint angle value is less than the first standard joint angle value, and obtain a first joint determination result;

[0288] When the first joint judgment result is yes, determine whether the second joint angle value is less than the second standard joint angle value to obtain the second joint judgment result;

[0289] When the second joint judgment result is yes, the ankle joint evaluation information is determined to be normal;

[0290] When the second joint judgment result is negative, the ankle joint evaluation information is determined to be ankle joint abnormality;

[0291] When the first joint judgment result is negative, the ankle joint evaluation information is determined to be ankle joint abnormality;

[0292] Determine whether the third joint angle value is less than the third standard joint angle value, and obtain a third joint determination result;

[0293] When the third joint judgment result is yes, the knee joint evaluation information is determined to be knee joint abnormality;

[0294] When the third joint judgment result is negative, the knee joint evaluation information is determined to be normal;

[0295] Determine whether the fourth joint angle value is less than the fourth standard joint angle value, and obtain the fourth joint determination result;

[0296] When the fourth joint judgment result is yes, the hip joint evaluation information is determined to be normal;

[0297] When the fourth joint judgment result is negative, the hip joint evaluation information is determined to be hip joint abnormality.

[0298] It can be seen that implementation Figure 3 The limb movement function evaluation device described can use the first standard angle value information in the second standard action angle information to compare and judge the joint angle information to obtain joint angle evaluation information, which is more conducive to improving the limb movement function evaluation and analysis level, and improving the sensitivity and operability of limb function evaluation, so as to accurately and intelligently identify weak links or abnormal postures in the limb movement process.

[0299] In yet another optional embodiment, the detection module includes 4 image acquisition devices;

[0300] The acquisition module 302 uses the dynamic motion and load increment displayed on the detection module to instruct the user to perform limb movement, and uses the detection module to perform dynamic image acquisition of the user's pattern action corresponding to the resistance exercise pattern information, and the specific method of obtaining the key position space three-dimensional data information is as follows:

[0301] The user is instructed to perform limb movement by means of dynamic movement and load increment displayed on the detection module, and three rounds of dynamic image acquisition are performed on the user's pattern movement corresponding to the resistance movement pattern information by means of four image acquisition devices to obtain first movement image information; the first movement image information includes three dynamic image information; the dynamic image information represents the limb movement image of the user performing the pattern movement corresponding to the resistance movement pattern information under different movement resistances;

[0302] The second action image information is identified and key position space data is extracted and processed to obtain key position space three-dimensional data information.

[0303] It can be seen that implementation Figure 3 The limb movement function evaluation device described can use the detection module to capture dynamic images of the pattern movements corresponding to the user's resistance movement pattern information and perform comprehensive processing of data information extraction and comparative analysis to obtain limb movement function evaluation information, which is beneficial to improving the level of limb movement function evaluation and analysis, and improving the sensitivity and operability of limb function evaluation, so as to accurately and intelligently identify weak links or abnormal postures in the limb movement process.

[0304] In yet another optional embodiment, the dynamic image information includes 4 video image information;

[0305] The acquisition module 302 identifies the second action image information and extracts the key position spatial data to obtain the key position spatial three-dimensional data information in the following specific manner:

[0306] For any dynamic image information, the four image information in the dynamic image information are processed to identify the human body position, and the human body position space information corresponding to the dynamic image information is obtained;

[0307] Using a preset limb matrix to perform key position spatial information extraction and data structure filling processing on the human body position spatial information, to obtain limb matrix information corresponding to the dynamic image information;

[0308] All limb matrix information is weighted averaged to obtain three-dimensional data information of key position space.

[0309] It can be seen that implementation Figure 3 The limb movement function evaluation device described can identify the second action image information and extract and process the key position space data to obtain key position space three-dimensional data information, which is more conducive to improving the level of limb movement function evaluation and analysis, and improving the sensitivity and operability of limb function evaluation, so as to accurately and intelligently identify weak links or abnormal postures in the limb movement process.

[0310] Embodiment 4

[0311] See also Figure 4 , Figure 4 is a schematic diagram of the structure of another limb movement function evaluation device disclosed in an embodiment of the present invention. Figure 4 The described device can be applied to a data processing system, such as a local server or a cloud server for limb motor function evaluation and management, and the embodiments of the present invention are not limited thereto. Figure 4 As shown, the device may include:

[0312] A memory 401 storing executable program codes;

[0313] a processor 402 coupled to the memory 401;

[0314] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the limb motor function evaluation method described in the first or second embodiment.

[0315] Embodiment 5

[0316] An embodiment of the present invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps of the limb motor function evaluation method described in the first or second embodiment.

[0317] Embodiment 6

[0318] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps in the limb motor function evaluation method described in Example 1 or Example 2.

[0319] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0320] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0321] Finally, it should be noted that the limb motor function evaluation method and device disclosed in the embodiments of the present invention disclose only the preferred embodiments of the present invention, which are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating limb motor function, characterized in that: The method comprises: Obtaining resistance exercise mode information; the resistance exercise mode information is used to be displayed on the detection module to instruct the user to perform limb exercise; Instructing the user to perform limb movement by means of dynamic movement and load increment displayed on the detection module, and using the detection module to collect dynamic images of the user's execution of the pattern action corresponding to the resistance exercise pattern information to obtain three-dimensional data information of key position space; Using a standard action database to compare and analyze the three-dimensional data information of the key position space to obtain limb movement function evaluation information; the standard action database includes a number of standard action angle values; Wherein, the use of the standard action database to compare and analyze the three-dimensional data information of the key position space to obtain the limb movement function evaluation information includes: Performing angle recognition and calculation processing on the three-dimensional data information of the key position space to obtain action angle information; the action angle information includes first action angle information, second action angle information, third action angle information and fourth action angle information; Screening out a number of standard action angle values ​​that match the resistance exercise pattern information from a standard action database as first standard action angle value information; the first standard action angle value information includes at least 6 first standard action angle values; Comparing and analyzing the first standard action angle value information and the action angle information to obtain limb movement function evaluation information; The comparative analysis of the first standard action angle value information and the action angle information to obtain the limb movement function evaluation information includes: Comparing and analyzing the first standard action angle value information and the first action angle information to obtain first evaluation information; the first action angle information represents the posture angles of the main joints of the limbs and the trunk of the user during the standing long jump; the first action angle information includes joint angle information, force compensation angle information, core stability angle information and limb symmetry angle information; Comparing and analyzing the first standard action angle value information and the second action angle information, second evaluation information is obtained; the second action angle information represents the posture angle of the user in the process of standing with one arm extended forward and pulling the resistance band to turn the body; Comparing and analyzing the first standard action angle value information and the third action angle information to obtain third evaluation information; the third action angle information represents the posture angle of the user in the process of standing with one arm raised and pulling the resistance band for back extension; Comparing and analyzing the first standard action angle value information and the fourth action angle information to obtain fourth evaluation information; the fourth action angle information represents the posture angle of the user in the process of standing on one leg and pulling the resistance band to straighten the leg outward / inward; Performing data correction and aggregation processing on abnormal values ​​in the first evaluation information, the second evaluation information, the third evaluation information, and the fourth evaluation information to obtain abnormal value evaluation information; The first evaluation information, the second evaluation information, the third evaluation information, the fourth evaluation information and the abnormal value evaluation information are integrated to obtain limb motor function evaluation information.

2. The method for evaluating limb motor function according to claim 1, characterized in that: The comparing and analyzing the first standard action angle value information and the first action angle information to obtain first evaluation information includes: The first standard action angle value information is screened to obtain second standard action angle information; the second standard action angle information includes first standard angle value information, second standard angle value information, third standard angle value information and fourth standard angle value information; The joint angle information is compared and judged by using the first standard angle value information in the second standard action angle information to obtain joint angle evaluation information; the joint angle evaluation information represents the movement function of the user's ankle joint, knee joint and hip joint at the moment of take-off; Comparing and judging the force compensation angle information with the second standard angle value information in the second standard action angle information to obtain force compensation angle evaluation information; Using the third standard angle value information in the second standard action angle information to compare and judge the core stability angle information, to obtain core stability angle evaluation information; Using the fourth standard angle value information in the second standard action angle information to compare and judge the limb symmetry angle information, to obtain limb symmetry angle evaluation information; The joint angle evaluation information, the strength compensation angle evaluation information, the core stability angle evaluation information and the limb symmetry angle evaluation information are subjected to structured filling processing to obtain first evaluation information.

3. The method for evaluating limb motor function according to claim 2, characterized in that: The first standard angle value information includes a first standard joint angle value, a second standard joint angle value, a third standard joint angle value and a fourth standard joint angle value; The joint angle information includes a first joint angle value, a second joint angle value, a third joint angle value and a fourth joint angle value; The joint angle evaluation information includes ankle joint evaluation information, knee joint evaluation information and hip joint evaluation information; The step of comparing and judging the joint angle information by using the first standard angle value information in the second standard action angle information to obtain the joint angle evaluation information includes: Determine whether the first joint angle value is less than the first standard joint angle value, and obtain a first joint determination result; When the first joint judgment result is yes, judging whether the second joint angle value is less than the second standard joint angle value, and obtaining a second joint judgment result; When the second joint determination result is yes, determining that the ankle joint evaluation information is that the ankle joint is normal; When the second joint determination result is negative, determining that the ankle joint evaluation information is ankle joint abnormality; When the first joint judgment result is no, determining that the ankle joint evaluation information is ankle joint abnormality; Determine whether the third joint angle value is less than the third standard joint angle value, and obtain a third joint determination result; When the third joint judgment result is yes, determining that the knee joint evaluation information is knee joint abnormality; When the third joint judgment result is no, determining that the knee joint evaluation information is that the knee joint is normal; Determine whether the fourth joint angle value is less than the fourth standard joint angle value, and obtain a fourth joint determination result; When the fourth joint judgment result is yes, determining that the hip joint evaluation information is that the hip joint is normal; When the fourth joint judgment result is negative, the hip joint evaluation information is determined to be hip joint abnormality.

4. The method for evaluating limb motor function according to claim 1, characterized in that: The detection module comprises an evaluation image acquisition device (501), a human-computer interaction screen (502), a resistance band (503), a displaceable damping foot pad (504), a resistance band slide rail (505), a resistance band pulley (506) and a resistance sensing control device (507); the evaluation image acquisition device (501) comprises four image acquisition devices; the image acquisition devices comprise a first image acquisition device (5011), a second image acquisition device (5012), a third image acquisition device (5013) and a fourth image acquisition device (5014); the third image acquisition device (5013) and the resistance sensing control device (507) are respectively located at two ends of the resistance band slide rail (505); The method of using the dynamic motion and load increment displayed on the detection module to instruct the user to perform limb movement, and using the detection module to perform dynamic image acquisition of the user's execution of the mode action corresponding to the resistance exercise mode information to obtain key position space three-dimensional data information, including: The user is instructed to perform limb movement by means of dynamic movement and load increment displayed on the detection module, and three rounds of dynamic image acquisition are performed on the user's execution of the pattern movement corresponding to the resistance movement pattern information by means of four image acquisition devices to obtain first movement image information; the first movement image information includes three dynamic image information; the dynamic image information represents the limb movement image of the user performing the pattern movement corresponding to the resistance movement pattern information under different movement resistances; The dynamic image information is identified and key position spatial data is extracted to obtain key position spatial three-dimensional data information.

5. The method for evaluating limb motor function according to claim 4, characterized in that: The dynamic image information includes 4 video image information; The step of identifying the dynamic image information and extracting key position spatial data to obtain key position spatial three-dimensional data information includes: For any of the dynamic image information, performing human body position recognition processing on the four image information in the dynamic image information to obtain human body position spatial information corresponding to the dynamic image information; Using a preset limb matrix to perform key position spatial information extraction and data structure filling processing on the human body position spatial information, to obtain limb matrix information corresponding to the dynamic image information; All the limb matrix information is weighted averaged to obtain key position spatial three-dimensional data information.

6. A limb motor function evaluation device, characterized in that: The device comprises: An acquisition module, used for acquiring resistance exercise pattern information; the resistance exercise pattern information is used for displaying on the detection module to instruct the user to perform limb exercise; A collection module, used to instruct the user to perform limb movement by means of dynamic movement and load increment displayed on the detection module, and to use the detection module to perform dynamic image collection of the user's execution of the pattern action corresponding to the resistance exercise pattern information, so as to obtain three-dimensional data information of the key position space; A comparison and analysis module, used to compare and analyze the three-dimensional data information of the key position space using a standard action database to obtain limb movement function evaluation information; the standard action database includes a number of standard action angle values; Wherein, the use of the standard action database to compare and analyze the three-dimensional data information of the key position space to obtain the limb movement function evaluation information includes: Performing angle recognition and calculation processing on the three-dimensional data information of the key position space to obtain action angle information; the action angle information includes first action angle information, second action angle information, third action angle information and fourth action angle information; Screening out a number of standard action angle values ​​that match the resistance exercise pattern information from a standard action database as first standard action angle value information; the first standard action angle value information includes at least 6 first standard action angle values; Comparing and analyzing the first standard action angle value information and the action angle information to obtain limb movement function evaluation information; The comparative analysis of the first standard action angle value information and the action angle information to obtain the limb movement function evaluation information includes: Comparing and analyzing the first standard action angle value information and the first action angle information to obtain first evaluation information; the first action angle information represents the posture angles of the main joints of the limbs and the trunk of the user during the standing long jump; the first action angle information includes joint angle information, force compensation angle information, core stability angle information and limb symmetry angle information; Comparing and analyzing the first standard action angle value information and the second action angle information, second evaluation information is obtained; the second action angle information represents the posture angle of the user in the process of standing with one arm extended forward and pulling the resistance band to turn the body; Comparing and analyzing the first standard action angle value information and the third action angle information to obtain third evaluation information; the third action angle information represents the posture angle of the user in the process of standing with one arm raised and pulling the resistance band for back extension; Comparing and analyzing the first standard action angle value information and the fourth action angle information to obtain fourth evaluation information; the fourth action angle information represents the posture angle of the user in the process of standing on one leg and pulling the resistance band to straighten the leg outward / inward; Performing data correction and aggregation processing on abnormal values ​​in the first evaluation information, the second evaluation information, the third evaluation information, and the fourth evaluation information to obtain abnormal value evaluation information; The first evaluation information, the second evaluation information, the third evaluation information, the fourth evaluation information and the abnormal value evaluation information are integrated to obtain limb motor function evaluation information.

7. A limb motor function evaluation device, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the limb motor function evaluation method as described in any one of claims 1-5.

8. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, which, when called, are used to execute the limb motor function evaluation method as described in any one of claims 1-5.

Images