CN117860238A - Exercise function test method, system, terminal and storage medium - Google Patents
Exercise function test method, system, terminal and storage medium Download PDFInfo
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- CN117860238A CN117860238A CN202410162532.9A CN202410162532A CN117860238A CN 117860238 A CN117860238 A CN 117860238A CN 202410162532 A CN202410162532 A CN 202410162532A CN 117860238 A CN117860238 A CN 117860238A
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- 238000010998 test method Methods 0.000 title description 9
- 238000012360 testing method Methods 0.000 claims abstract description 309
- 238000004364 calculation method Methods 0.000 claims abstract description 56
- 238000000034 method Methods 0.000 claims abstract description 22
- 230000006870 function Effects 0.000 claims description 244
- 230000033001 locomotion Effects 0.000 claims description 67
- 208000027418 Wounds and injury Diseases 0.000 claims description 18
- 230000006378 damage Effects 0.000 claims description 18
- 208000014674 injury Diseases 0.000 claims description 18
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- 238000004590 computer program Methods 0.000 claims description 5
- 230000037147 athletic performance Effects 0.000 claims description 2
- 238000011056 performance test Methods 0.000 claims description 2
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1118—Determining activity level
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Abstract
The application relates to a method, a system, a terminal and a storage medium for testing a sports function, which belong to the field of sports function testing; the exercise function testing method comprises the steps of obtaining physical information of a user; obtaining a predicted exercise function test result according to a preset basic exercise function calculation formula and the user body information; the method comprises the steps of calling an actual user exercise function test result data set, wherein the actual user exercise function test result data set comprises user actual exercise function test results with set times; determining exercise function test deviation rule information based on the actual user exercise function test result data set; and acquiring the exercise function test cost, and determining an exercise function test flow according to the exercise function test cost, the exercise function test deviation rule information and the estimated exercise function test result. The exercise function test result accuracy improving method has the effect of improving exercise function test result accuracy.
Description
Technical Field
The present disclosure relates to the field of exercise function testing, and in particular, to a method, a system, a terminal, and a storage medium for testing exercise functions.
Background
The basic movement function screening test content comprises an upper limb support control part, a lower limb rapid expansion capability part and the like; when testing the personnel to be tested, screening and testing the movement functions of the personnel through various detection devices; the manual auxiliary test mode is common, however, the measured data often have certain errors and the test efficiency is low, so that a basic exercise function test method capable of improving the test accuracy is needed.
Disclosure of Invention
The application provides a method, a system, a terminal and a storage medium for testing a sports function, which have the characteristic of improving the accuracy of basic sports function test.
The first object of the present application is to provide a method for testing exercise functions.
The first object of the present application is achieved by the following technical solutions:
a method of exercise function testing comprising:
acquiring user body information; the user body information comprises body basic data, posture data, basic motion data and body injury information;
obtaining a predicted exercise function test result according to a preset basic exercise function calculation formula and the user body information;
the method comprises the steps of calling an actual user exercise function test result data set, wherein the actual user exercise function test result data set comprises user actual exercise function test results with set times;
determining exercise function test deviation rule information based on the actual user exercise function test result data set;
and acquiring the exercise function test cost, and determining an exercise function test flow according to the exercise function test cost, the exercise function test deviation rule information and the estimated exercise function test result.
In a preferred example, the method may further be configured, where the obtaining the estimated exercise function test result according to the preset body basic exercise function calculation formula and the user body information includes:
obtaining first test information according to a preset body basic movement function calculation formula and the body basic data;
obtaining second test information according to a preset body basic movement function calculation formula and the posture data;
obtaining third test information according to a preset basic body movement function calculation formula and the basic movement data;
obtaining fourth test information according to a preset body basic movement function calculation formula and the body injury information;
and obtaining a predicted exercise function test result according to the first test information, the second test information, the third test information and the fourth test information.
In a preferred example, the method may further include obtaining the estimated exercise function test result according to the first test information, the second test information, the third test information, and the fourth test information, including:
determining estimated motion function grade information and probability information corresponding to the estimated motion function grade information according to the first test information, the second test information, the third test information and the fourth test information;
determining basic exercise function score information according to the estimated exercise function grade information and the probability information;
and determining a predicted exercise function test result according to the basic exercise function score information.
The present application may be further configured in a preferred example, wherein the determining exercise function test deviation rule information based on the actual user exercise function test result data set includes:
determining deviation items of actual exercise function test results of all users according to the actual user exercise function test result data set;
determining difference analysis information according to a preset deviation threshold value and deviation values of all deviation items;
and determining the movement function test deviation rule information according to the difference analysis information.
In a preferred example, the method may further include the step of obtaining the exercise function test cost, and determining the exercise function test flow according to the exercise function test cost, the exercise function test deviation rule information, and the estimated exercise function test result includes:
determining test sequence information according to the exercise function test deviation rule information and the estimated exercise function test result;
determining test frequency information according to the exercise function test cost and the exercise function test deviation rule information;
and determining a movement function test flow according to the test sequence information and the test frequency information.
The present application may be further configured in a preferred example to: and screening the user body information based on a data screening rule before obtaining a predicted exercise function test result according to a preset body basic exercise function calculation formula and the user body information.
The second purpose of the application is to provide a sports function test system.
The second object of the present application is achieved by the following technical solutions:
a athletic performance test system, comprising:
the acquisition module is used for acquiring the body information of the user; the user body information comprises body basic data, posture data, basic motion data and body injury information;
the calculation module is used for obtaining a predicted exercise function test result according to a preset basic exercise function calculation formula and the user body information;
the calling module is used for calling an actual user movement function test result data set which contains actual user movement function test results of set times;
the processing module is used for determining exercise function test deviation rule information based on the actual user exercise function test result data set;
the determining module is used for acquiring the exercise function testing cost and determining an exercise function testing flow according to the exercise function testing cost, the exercise function testing deviation rule information and the estimated exercise function testing result.
The present application may be further configured in a preferred example, wherein the computing module includes:
obtaining first test information according to a preset body basic movement function calculation formula and the body basic data;
obtaining second test information according to a preset body basic movement function calculation formula and the posture data;
obtaining third test information according to a preset basic body movement function calculation formula and the basic movement data;
obtaining fourth test information according to a preset body basic movement function calculation formula and the body injury information;
and obtaining a predicted exercise function test result according to the first test information, the second test information, the third test information and the fourth test information.
The third object of the present application is to provide a terminal.
The third object of the present application is achieved by the following technical solutions:
a terminal comprising a memory and a processor, the memory having stored thereon computer program instructions of the above-described exercise function test method that can be loaded and executed by the processor.
A fourth object of the present application is to provide a computer medium capable of storing a corresponding program.
The fourth object of the present application is achieved by the following technical solutions:
a computer readable storage medium storing a computer program capable of being loaded by a processor and executing any one of the exercise function test methods described above.
Drawings
Fig. 1 is a schematic flow chart of a exercise function testing method in an embodiment of the present application.
Fig. 2 is a schematic structural diagram of a exercise function test system according to an embodiment of the present application.
Reference numerals illustrate: 1. an acquisition module; 2. a computing module; 3. a calling module; 4. a processing module; 5. and a determining module.
Detailed Description
The present embodiment is merely illustrative of the present application and is not intended to be limiting, and modifications may be made to the embodiment by those skilled in the art without creative contribution as needed after reading the present specification, but are protected by patent laws within the scope of the claims of the present application.
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
Embodiments of the present application are described in further detail below with reference to the drawings attached hereto.
The application provides a exercise function testing method, and the main flow of the method is described as follows.
As shown in fig. 1:
step S101: acquiring user body information; the user body information includes body basic data, posture data, basic movement data, and physical injury information.
In the embodiment of the application, the body basic data comprise basic data such as age, height and the like of the user, and the basic data can be used for determining the capability range of the basic exercise function of the user; the body state represents the living habit of the user, such as walking, sitting, lying and other gestures, so that the capability range of the basic movement function of the user can be further determined; the basic motion data represents the historical motion record of the user, and can assist in defining the capability range of the motion function of the user; physical injury information is used for representing the condition that the movement function of a user is limited; finally, the capability range of the motion function of the user can be defined through the four types of data; it is to be understood that the above-mentioned acquisition modes of the body basic data, the posture data, the basic exercise data, and the physical injury information are not limited in this embodiment, as long as the above-mentioned information can be acquired.
Step S102: and obtaining a predicted exercise function test result according to a preset basic exercise function calculation formula and the user body information.
In this embodiment of the present application, obtaining the predicted exercise function test result according to the preset body basic exercise function calculation formula and the user body information specifically includes obtaining first test information according to the preset body basic exercise function calculation formula and the body basic data; obtaining second test information according to a preset body basic movement function calculation formula and the posture data; obtaining third test information according to a preset basic body movement function calculation formula and the basic movement data; obtaining fourth test information according to a preset body basic movement function calculation formula and the body injury information; and obtaining a predicted exercise function test result according to the first test information, the second test information, the third test information and the fourth test information.
Wherein obtaining the estimated exercise function test result according to the first test information, the second test information, the third test information and the fourth test information comprises: determining estimated motion function grade information and probability information corresponding to the estimated motion function grade information according to the first test information, the second test information, the third test information and the fourth test information; determining basic exercise function score information according to the estimated exercise function grade information and the probability information; and determining a predicted exercise function test result according to the basic exercise function score information.
It can be understood that the test information corresponding to each data can be obtained by calculation according to the preset body basic exercise function calculation mode and the four data; specifically, the preset body basic exercise function calculation mode in the embodiment includes a first calculation formula, a second calculation formula, a third calculation formula and a fourth calculation formula; the first calculation formula corresponds to body basic data, and first test information can be obtained through the first calculation formula and the body basic data; the second calculation formula corresponds to the posture data, and second test information can be obtained through the second calculation formula and the posture data; the third calculation formula corresponds to the basic motion data, and third test information can be obtained through the third calculation formula and the basic motion data; the fourth calculation formula corresponds to physical injury information, and fourth test information can be obtained through the fourth calculation formula and the physical injury information.
And finally, combining the first test information, the second test information, the third test information and the fourth test information to obtain a predicted exercise function test result.
It can be understood that the range of the level to which the exercise function of the user belongs and the probability information of each level can be determined through the first test information, the second test information, the third test information and the fourth test information; for example, according to the test information of the user A, the probability of the basic exercise function of the user A with the level 3 is 80%, and the probability of the basic exercise function of the user A with the level 4 is 15%; and then obtaining the basic exercise function score by calculating the grade and the corresponding probability value, and finally determining the estimated exercise function test result.
Step S103: and calling an actual user exercise function test result data set, wherein the actual user exercise function test result data set contains the actual user exercise function test results of the given times.
Step S104: and determining exercise function test deviation rule information based on the actual user exercise function test result data set.
In the embodiment of the application, determining exercise function test deviation rule information based on the actual user exercise function test result data set specifically includes determining deviation items of actual exercise function test results of each user and deviation values of the deviation items according to the actual user exercise function test result data set; determining difference analysis information according to a preset deviation threshold value and deviation values of all deviation items; and determining the movement function test deviation rule information according to the difference analysis information.
It can be understood that the test results of the set times are contained in the actual user exercise function test result data set, the deviation among the test items contained in the test results can be determined through analysis of the test results, the problems among the test items can be determined through analysis of the deviation threshold value, and then the deviation rule of the exercise function test is analyzed; in the actual exercise function test process, the test sequence of different projects can influence the test of a user, so that different test results are obtained; the test results with larger deviation can be screened out by calculating the deviation value of the test results between every two and combining with the comparison of the deviation threshold value; by analyzing the test result, the rule information of deviation of the exercise function test can be determined.
Step S105: and acquiring the exercise function test cost, and determining an exercise function test flow according to the exercise function test cost, the exercise function test deviation rule information and the estimated exercise function test result.
In the embodiment of the application, the method comprises the steps of acquiring the exercise function test cost, determining an exercise function test flow according to the exercise function test cost, the exercise function test deviation rule information and the estimated exercise function test result, and determining test sequence information according to the exercise function test deviation rule information and the estimated exercise function test result; determining test frequency information according to the exercise function test cost and the exercise function test deviation rule information; and determining a movement function test flow according to the test sequence information and the test frequency information.
In the embodiment of the application, before the estimated exercise function test result is obtained according to a preset body basic exercise function calculation formula and the user body information, screening the user body information based on a data screening rule; it can be understood that the data screening rule herein performs data error correction on the body information of the user, and for the obtained body information of the user, the obtained body information of the user includes body basic data, posture data, basic movement data and physical injury information of the user, and since the data are error data due to deviation in the transmission and use processes, the data need to be error-corrected first, so that the body data of the user used subsequently are correct, and in this way, the accuracy of the processing result of the subsequent data can be ensured.
Through the exercise function test method, the exercise function test result of the user is estimated based on the physical data, the posture data, the exercise history record and the injury record of the user; then, based on the estimated result, putting the estimated result into an actual exercise function test result pool to be used as one of analysis reference items; then performing deviation analysis on a plurality of actual test results in an actual exercise function test result pool, determining a final exercise function project test sequence by combining the estimated results, and then determining the most appropriate test times according to the test cost; by the method, the test cost and the test accuracy are effectively balanced, the test cost is acceptable, and the accuracy of the exercise function test result of the user is ensured.
The application also provides a sports function test system, as shown in fig. 2, which comprises an acquisition module for acquiring the body information of the user; the user body information comprises body basic data, posture data, basic motion data and body injury information; the calculation module is used for obtaining a predicted exercise function test result according to a preset basic exercise function calculation formula and the user body information; the calling module is used for calling an actual user movement function test result data set which contains actual user movement function test results of set times; the processing module is used for determining exercise function test deviation rule information based on the actual user exercise function test result data set; the determining module is used for acquiring the exercise function testing cost and determining an exercise function testing flow according to the exercise function testing cost, the exercise function testing deviation rule information and the estimated exercise function testing result.
The calculation module is further configured to obtain first test information according to a preset body basic exercise function calculation formula and the body basic data; obtaining second test information according to a preset body basic movement function calculation formula and the posture data; obtaining third test information according to a preset basic body movement function calculation formula and the basic movement data; obtaining fourth test information according to a preset body basic movement function calculation formula and the body injury information; obtaining a predicted exercise function test result according to the first test information, the second test information, the third test information and the fourth test information; determining estimated motion function grade information and probability information corresponding to the estimated motion function grade information according to the first test information, the second test information, the third test information and the fourth test information; determining basic exercise function score information according to the estimated exercise function grade information and the probability information; and determining a predicted exercise function test result according to the basic exercise function score information.
The processing module is further configured to determine deviation items of actual exercise function test results of each user and deviation values of the deviation items according to the actual user exercise function test result data set; determining difference analysis information according to a preset deviation threshold value and deviation values of all deviation items; and determining the movement function test deviation rule information according to the difference analysis information.
The determining module is further configured to determine test sequence information according to the exercise function test deviation rule information and the estimated exercise function test result; determining test frequency information according to the exercise function test cost and the exercise function test deviation rule information; and determining a movement function test flow according to the test sequence information and the test frequency information.
In order to better execute the program of the method, the application also provides a terminal, which comprises a memory and a processor.
Wherein the memory may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory may include a storage program area and a storage data area, wherein the storage program area may store instructions for implementing an operating system, instructions for at least one function, instructions for implementing the above-described exercise function test method, and the like; the storage data area may store data and the like involved in the above-described exercise function test method.
The processor may include one or more processing cores. The processor performs the various functions of the present application and processes the data by executing or executing instructions, programs, code sets, or instruction sets stored in memory, calling data stored in memory. The processor may be at least one of an application specific integrated circuit, a digital signal processor, a digital signal processing device, a programmable logic device, a field programmable gate array, a central processing unit, a controller, a microcontroller, and a microprocessor. It will be appreciated that the electronic device for implementing the above-mentioned processor function may be other for different apparatuses, and embodiments of the present application are not specifically limited.
The present application also provides a computer-readable storage medium, for example, comprising: a U-disk, a removable hard disk, a Read Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes. The computer readable storage medium stores a computer program that can be loaded by a processor and that performs the exercise function test method described above.
The foregoing description is only of the preferred embodiments of the present application and is presented as a description of the principles of the technology being utilized. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this application is not limited to the specific combinations of features described above, but it is intended to cover other embodiments in which any combination of features described above or equivalents thereof is possible without departing from the spirit of the disclosure. Such as the above-described features and technical features having similar functions (but not limited to) disclosed in the present application are replaced with each other.
Claims (10)
1. A method for testing exercise functions, comprising:
acquiring user body information; the user body information comprises body basic data, posture data, basic motion data and body injury information;
obtaining a predicted exercise function test result according to a preset basic exercise function calculation formula and the user body information;
the method comprises the steps of calling an actual user exercise function test result data set, wherein the actual user exercise function test result data set comprises user actual exercise function test results with set times;
determining exercise function test deviation rule information based on the actual user exercise function test result data set;
and acquiring the exercise function test cost, and determining an exercise function test flow according to the exercise function test cost, the exercise function test deviation rule information and the estimated exercise function test result.
2. The exercise function testing method according to claim 1, wherein obtaining the estimated exercise function test result according to the preset body basic exercise function calculation formula and the user body information comprises:
obtaining first test information according to a preset body basic movement function calculation formula and the body basic data;
obtaining second test information according to a preset body basic movement function calculation formula and the posture data;
obtaining third test information according to a preset basic body movement function calculation formula and the basic movement data;
obtaining fourth test information according to a preset body basic movement function calculation formula and the body injury information;
and obtaining a predicted exercise function test result according to the first test information, the second test information, the third test information and the fourth test information.
3. The exercise function testing method according to claim 2, wherein obtaining the estimated exercise function test result according to the first test information, the second test information, the third test information, and the fourth test information comprises:
determining estimated motion function grade information and probability information corresponding to the estimated motion function grade information according to the first test information, the second test information, the third test information and the fourth test information;
determining basic exercise function score information according to the estimated exercise function grade information and the probability information;
and determining a predicted exercise function test result according to the basic exercise function score information.
4. The exercise function testing method of claim 1, wherein the determining exercise function test deviation rule information based on the actual user exercise function test result data set comprises:
determining deviation items of actual exercise function test results of all users according to the actual user exercise function test result data set;
determining difference analysis information according to a preset deviation threshold value and deviation values of all deviation items;
and determining the movement function test deviation rule information according to the difference analysis information.
5. The exercise function testing method according to claim 1, wherein the acquiring the exercise function testing cost, determining an exercise function testing flow according to the exercise function testing cost, exercise function testing deviation rule information, and the estimated exercise function testing result comprises:
determining test sequence information according to the exercise function test deviation rule information and the estimated exercise function test result;
determining test frequency information according to the exercise function test cost and the exercise function test deviation rule information;
and determining a movement function test flow according to the test sequence information and the test frequency information.
6. The exercise function testing method according to claim 1, wherein the user body information is screened based on a data screening rule before a predicted exercise function test result is obtained according to a preset body basic exercise function calculation formula and the user body information.
7. A athletic performance test system, comprising:
the acquisition module is used for acquiring the body information of the user; the user body information comprises body basic data, posture data, basic motion data and body injury information;
the calculation module is used for obtaining a predicted exercise function test result according to a preset basic exercise function calculation formula and the user body information;
the calling module is used for calling an actual user movement function test result data set which contains actual user movement function test results of set times;
the processing module is used for determining exercise function test deviation rule information based on the actual user exercise function test result data set;
the determining module is used for acquiring the exercise function testing cost and determining an exercise function testing flow according to the exercise function testing cost, the exercise function testing deviation rule information and the estimated exercise function testing result.
8. The athletic functionality test system of claim 7, wherein the computing module comprises:
obtaining first test information according to a preset body basic movement function calculation formula and the body basic data;
obtaining second test information according to a preset body basic movement function calculation formula and the posture data;
obtaining third test information according to a preset basic body movement function calculation formula and the basic movement data;
obtaining fourth test information according to a preset body basic movement function calculation formula and the body injury information;
and obtaining a predicted exercise function test result according to the first test information, the second test information, the third test information and the fourth test information.
9. A terminal comprising a memory and a processor, the memory having stored thereon computer program instructions capable of being loaded by the processor and performing the method according to any of claims 1-6.
10. A computer readable storage medium, characterized in that a computer program is stored which can be loaded by a processor and which performs the method according to any of the claims 1-6.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202410162532.9A CN117860238A (en) | 2024-02-05 | 2024-02-05 | Exercise function test method, system, terminal and storage medium |
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| CN202410162532.9A CN117860238A (en) | 2024-02-05 | 2024-02-05 | Exercise function test method, system, terminal and storage medium |
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