CN112071426A - Functional body fitness testing method, device and equipment - Google Patents
Functional body fitness testing method, device and equipment Download PDFInfo
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Abstract
The embodiment of the invention provides a method, a device and equipment for testing the adaptability of a functional body, wherein the method comprises the following steps: the method comprises the steps of acquiring functional body fitness test data acquired by acquisition equipment and corresponding to a user to be detected, carrying out body fitness analysis on the acquired functional body fitness test data based on prestored functional body fitness standard data to obtain a body fitness analysis result, and sending the body fitness analysis result to display equipment for displaying. The embodiment realizes automatic analysis of fitness to obtain a fitness analysis result, reduces manual intervention, and improves the accuracy of functional fitness test.
Description
Technical Field
The embodiment of the invention relates to the technical field of data processing, in particular to a method, a device and equipment for testing the adaptability of a functional body.
Background
With the reduction of labor population and the increase of the disability rate of the old people, the progress of population aging is accelerated, the health management service of the old people is enhanced, the health level of the old people is improved, and the method is an important measure for dealing with the population aging.
Functional Fitness (FF) refers to the comprehensive physiological functions of body composition, cardiopulmonary endurance, muscular strength endurance, pliability and balance, and is an important index for measuring the Functional independence and health condition of the elderly. The functional fitness is a risk factor affecting the quality of life of the elderly and causing chronic diseases, and as the age increases, the elderly with the functional fitness may gradually lose the ability to live independently, thereby increasing the medical burden. Therefore, in the case where the health problem of the elderly person is getting worse, it is important to perform a functional fitness test on the elderly person to know the state of the elderly person in advance, and to improve the functional fitness of the elderly person through related rehabilitation or exercise.
However, in the prior art, the functional physical fitness of the old people is determined mainly by means of manual judgment, the implementation mode is single, the subjectivity is strong, and the accuracy of the functional physical fitness test is reduced.
Disclosure of Invention
The embodiment of the invention provides a method, a device and equipment for testing the adaptability of a functional body, which are used for improving the accuracy of the adaptability test of the functional body.
In a first aspect, an embodiment of the present invention provides a functional entity fitness test method, including:
acquiring functional body fitness test data corresponding to a user to be detected, which are acquired by acquisition equipment;
performing fitness analysis on the obtained functional fitness test data based on pre-stored functional fitness standard data to obtain a fitness analysis result;
and sending the fitness analysis result to a display device for displaying.
Optionally, the functional fitness test data includes: functional fitness video test data, functional fitness plantar pressure test data, and functional fitness walking test data.
Optionally, if the functional physical fitness test data is functional physical fitness video test data, the acquisition device is a camera device,
the acquiring of the functional body fitness test data corresponding to the user to be detected acquired by the acquisition equipment comprises the following steps:
acquiring functional body fitness test data corresponding to a user to be detected and acquired by the camera equipment;
then, the performing fitness analysis on the obtained functional fitness test data based on the pre-stored functional fitness standard data to obtain a fitness analysis result, including:
inputting the functional physical fitness video test data into a physical fitness test model for recognition to obtain a physical fitness initial analysis result, wherein the physical fitness test model is obtained by training functional physical fitness training video data;
and carrying out body fitness analysis on the body fitness initial analysis result according to pre-stored functional body fitness standard data to obtain a body fitness analysis result.
Optionally, the fitness initial analysis result includes: one or more of a dumbbell bending test result, a back grabbing test result, a timing standing and walking test result, a seat standing test result and a seat body forward bending test result.
Optionally, if the functional body fitness test data is functional body fitness plantar pressure test data, the collecting device is a pressure sensor,
then the acquiring of the functional body fitness test data corresponding to the user to be detected acquired by the acquisition equipment comprises:
acquiring a first total pressure of a user to be detected in a stable state, which is acquired by the pressure sensor;
acquiring a second total pressure of the user to be detected in an unstable state;
determining a first duration that the second total pressure is not less than a first threshold, wherein the first threshold is determined according to the first total pressure;
and obtaining the functional body adaptive plantar pressure test data according to the first duration, the first total pressure and the second total pressure.
Optionally, the first total pressure is collected by a first pressure sensor corresponding to the left foot side and a second pressure sensor corresponding to the right foot side, and the second total pressure is collected by the first pressure sensor or the second pressure sensor.
Optionally, the second total pressure in the unstable state is a total pressure on a single-foot side of the user to be detected in an eye opening state, and/or a total pressure on a single-foot side of the user to be detected in an eye closing state.
Optionally, if the functional fitness test data is functional fitness walking test data, the collecting device is a walking sensor,
then the acquiring of the functional body fitness test data corresponding to the user to be detected acquired by the acquisition equipment comprises:
and acquiring the walking distance of the user to be detected within a preset time length acquired by the walking sensor to obtain the functional body fitness walking test data.
Optionally, before the inputting the functional fitness video test data into the fitness test model for recognition to obtain fitness initial test data, the method further includes:
acquiring the functional fitness training video data;
and training the functional fitness training video data based on a visual algorithm to obtain a fitness test model.
Optionally, the result of the fitness analysis includes: one or more of static balance ability, upper and lower limb muscular strength, upper limb flexibility, general flexibility, dynamic balance and agility, and cardiopulmonary endurance.
In a second aspect, an embodiment of the present invention provides a functional body fitness test apparatus, including:
the acquisition module is used for acquiring functional body fitness test data corresponding to the user to be detected, which are acquired by the acquisition equipment;
the processing module is used for carrying out fitness analysis on the acquired functional fitness test data based on pre-stored functional fitness standard data to obtain a fitness analysis result;
and the processing module is used for sending the fitness analysis result to a display device for displaying.
In a third aspect, an embodiment of the present invention provides a functional entity fitness test apparatus, including: at least one processor and memory;
the memory stores computer-executable instructions;
the acquisition equipment is used for acquiring the functional body fitness test data corresponding to the user to be detected and sending the acquired data to the processor;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the functional fitness test method of any of the first aspects.
In a fourth aspect, the embodiment of the present invention provides a computer-readable storage medium, in which computer-executable instructions are stored, and when a processor executes the computer-executable instructions, the functional entity fitness test method according to any one of the first aspect is implemented.
After the scheme is adopted, the functional fitness test data corresponding to the user to be detected and collected by the collection equipment can be obtained firstly, then the obtained functional fitness test data is subjected to fitness analysis based on the pre-stored standard data to obtain a fitness analysis result, and the fitness analysis result is sent to the terminal equipment to be displayed, so that the fitness analysis result is obtained by automatically analyzing the fitness, manual intervention is reduced, and the accuracy of the functional fitness test is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic diagram of an architecture of an application system of a functional fitness test method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a functional fitness testing method according to an embodiment of the present invention;
fig. 3 is a schematic application diagram of a plantar pressure testing table according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of an application of a bend dumbbell test provided in an embodiment of the present invention;
FIG. 5 is a schematic diagram of an application of a back grab test provided by an embodiment of the present invention;
FIG. 6 is a schematic diagram of a functional performance-adaptive radar provided by an embodiment of the present invention;
FIG. 7 is a schematic structural diagram of a functional performance testing apparatus according to an embodiment of the present invention;
fig. 8 is a schematic diagram of a hardware structure of the functional fitness test device according to the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of including other sequential examples in addition to those illustrated or described. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Functional Fitness (FF) refers to the comprehensive physiological functions of body composition, cardiopulmonary endurance, muscular strength endurance, pliability and balance, and is an important index for the Functional independence and health status of elderly people (e.g., elderly people aged 60 to 80 years). The functional fitness is a risk factor affecting the quality of life of the elderly and causing chronic diseases, and as the age increases, the elderly with the functional fitness may gradually lose the ability to live independently, thereby increasing the medical burden. Therefore, in the case where the health problem of the elderly person is getting worse, it is important to perform a functional fitness test on the elderly person to know the state of the elderly person in advance, and to improve the functional fitness of the elderly person through related rehabilitation or exercise.
However, in the prior art, the functional fitness of the elderly is determined mainly by means of manual judgment, the implementation mode is single, a large amount of manpower and material resources are needed to cultivate professionals in relevant aspects, the subjectivity is strong, and the accuracy of the functional fitness test is reduced.
Based on the above problems, the method for automatically testing the functional body fitness of the old people is realized based on the acquisition equipment and the pre-stored functional body fitness standard data, so that manual intervention is reduced, and the technical effect of improving the accuracy of functional body fitness testing is achieved.
Fig. 1 is a schematic architecture diagram of an application system of a functional entity performance testing method provided in an embodiment of the present invention, where the application system may include: the acquisition device and the processing device, for example, as shown in fig. 1, may be a camera device 101, and the processing device may be a server 102, for example, may be an edge computing server. In addition, the application system may further include a wireless transmission module 103 and a box 104. The data of the user to be detected, which is acquired by the camera device 101, can be transmitted to the server 102 through the wireless transmission module 103, and the server 102 can perform functional fitness analysis on the user to be detected according to the received data of the user to be detected, so as to obtain a functional fitness analysis result.
Furthermore, the application system may further comprise a display device 105, and the server 102 may display the functional capability analysis result in the display device 105 after determining the functional capability analysis result. The display device can be a liquid crystal display screen or a touch display screen.
In addition, in another embodiment, the application system may further include a terminal device, and the server may send the functional capability analysis result to the terminal device for display after determining the functional capability analysis result.
In addition, the application system may further include a voice device 106, which is used to remind the user to be detected to perform relevant operations. The voice device 106 may be a speaker, among other things.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 2 is a schematic flow chart of a functional entity performance testing method according to an embodiment of the present invention, where the method of this embodiment may be executed by the server 102. As shown in fig. 2, the method of this embodiment may include:
s201: and acquiring functional body fitness test data corresponding to the user to be detected and acquired by the acquisition equipment.
In this embodiment, when the user to be detected performs the fitness test, the acquisition device may acquire the functional fitness test data corresponding to the user to be detected. Wherein the functional fitness test data may comprise: functional fitness video test data, functional fitness plantar pressure test data, and functional fitness walking test data.
Further, the acquisition modes corresponding to different test data types may be different, and specifically may include:
if the functional body fitness test data is the functional body fitness video test data, the acquisition equipment can be the camera equipment, then the acquisition equipment acquires the functional body fitness test data corresponding to the user to be detected, and can include:
and acquiring functional body fitness video test data which are acquired by the camera equipment and correspond to the user to be detected.
Specifically, the camera device may be a video camera, and the acquired data may be video data with a preset duration. The preset duration can be set according to the self-definition of the test items. Further, the items corresponding to the functional physical fitness video test data may include one or more of a dumbbell bend-lift test, a back-grab test, a timing standing and walking test result, a seat standing test, and a seat body forward bending test on the chair.
If the functional body fitness test data are functional body fitness plantar pressure test data, and the acquisition device is a pressure sensor, acquiring the functional body fitness test data acquired by the acquisition device and corresponding to the user to be detected can include:
and acquiring a first total pressure of the user to be detected in a stable state, which is acquired by the pressure sensor.
And acquiring a second total pressure of the user to be detected in an unstable state.
Determining a first duration in which the second total pressure is not less than a first threshold, wherein the first threshold is determined according to the first total pressure.
And obtaining the functional body adaptive plantar pressure test data according to the first duration, the first total pressure and the second total pressure.
Specifically, the method can also be called closed-eye one-foot standing test, and the test process can be as follows: the method comprises the steps of firstly obtaining total pressure in a stable state, then obtaining total pressure in an unstable state, and further determining functional body adaptation plantar pressure test data in a mode of comparing the total pressure in the unstable state with the total pressure in the stable state. The stable state is that the user to be detected is in a balanced and normal living state, and the unstable state is that the user to be detected is in an unbalanced or abnormal living state.
In addition, the first threshold value can be set according to practical conditions in a self-defined mode. For example, the first threshold value may be any value between 80% and 95% of the first total pressure, for example, 70kg of the first total pressure and 90% of the first threshold value, i.e., 63kg of the first threshold value 70 × 90%.
Fig. 3 is a schematic application diagram of a plantar pressure test platform according to an embodiment of the present invention, and as shown in fig. 3, the test platform applied to a closed-eye one-foot standing test project includes a left test component and a right test component, each of the test components is disposed with at least one pressure sensor, and the test platform is made of a hard material. The first total pressure is collected by a first pressure sensor corresponding to the left foot side and a second pressure sensor corresponding to the right foot side together, and the second total pressure is collected by the first pressure sensor or the second pressure sensor independently.
When gathering, can gather earlier and wait to detect that the user stands naturally on plantar pressure testboard, about the foot place respectively on first pressure sensor and the second pressure sensor that has the sign, this is test initial condition, and first total pressure is about pressure sensor sum, and P1 is always about being P about + P right promptly. After the initial state of the user to be detected is detected (can be detected by the camera equipment or the pressure sensor), the user to be detected can be reminded to start the test by the voice equipment. Then, it can be collected that the user to be detected lifts a single foot, the value of the pressure sensor corresponding to the side foot gradually becomes smaller until the reading is zero, and the second total pressure P2 collected by the pressure sensor corresponding to the side of the standing foot is total, and the timing is started.
In addition, the second total pressure in the unstable state may be a total pressure on a single-foot side of the user to be detected in the eye-open state, or may be a total pressure on a single-foot side of the user to be detected in the eye-closed state. The total pressure of the user to be detected on the single-foot side under the eye opening state can be obtained firstly, if the eye opening test duration is longer than the preset duration, the eye-closing single-foot standing test can be carried out, and otherwise, the eye-closing single-foot standing test is not carried out. The preset time period may be any value within 6 to 10 seconds, and may be 8 seconds as an example.
And when the P2 sum is less than or equal to 90% multiplied by the P1 sum, determining that the test is finished, finishing timing to obtain a first time length, and then determining that the functional body adaptability plantar pressure test data are in an eye opening state or in an eye closing state, and the test result of the standing test time length of the single foot is the first time length.
If the functional body fitness test data is functional body fitness walking test data, and the acquisition device is a walking sensor, the acquiring of the functional body fitness test data corresponding to the user to be detected, which is acquired by the acquisition device, may include:
and acquiring the walking distance of the user to be detected within a preset time length acquired by the walking sensor to obtain the functional body fitness walking test data.
Specifically, the initial state of the test flow may be: a user to be detected sits on the straight-back chair, the walking sensor is fixed on the ankle of the tested person, and the user to be detected stands up from the chair and stands naturally. The test method can be as follows: after the user to be detected observes that the testee finishes the initial test state preparation, the user clicks the tablet computer to start, the test host computer notifies the start of the test in voice, and the testee starts walking and starts timing. The subject can stay or sit on a chair near the path for rest according to the physical condition during walking. After the preset time length, the timing is ended, the test is informed by voice, and the distance (unit: meter) of the walking sensor or the step number data is automatically read as the test result. The preset time period may be any value within 5 to 10 minutes, for example, six minutes, and the test item corresponding to the functional body fitness walking test data may be a six-minute walking test.
In addition, when the test data is collected, only one type of test data can be collected, various types of test data can also be collected, and the type and the number of the specifically collected test data can be set according to actual conditions in a self-defined mode.
S202: and carrying out fitness analysis on the obtained functional fitness test data based on the pre-stored functional fitness standard data to obtain a fitness analysis result.
In this embodiment, if the functional fitness test data is functional fitness video test data, the performing fitness analysis on the obtained functional fitness test data based on the pre-stored functional fitness standard data to obtain a fitness analysis result may include:
inputting the functional fitness video test data into a fitness test model for recognition to obtain a fitness initial analysis result, wherein the fitness test model is obtained by training functional fitness training video data.
Specifically, the test items corresponding to the functional fitness video test data may include one or more of a dumbbell bend-lift test, a back-grab test, a timing standing and walking test, a seat standing test, and a seat body forward bending test on the chair.
When the test item corresponding to the functional body adaptability video test data is a dumbbell bend-lifting test, the initial state of the test is as follows: the dumbbell is held to the one hand of the user to be detected, wherein the male testing dumbbell can be 3.6KG/8 pounds, and the female testing dumbbell can be 2.3KG/5 pounds, and the side faces the camera, and the arm is straightened. The test method comprises the following steps: after the fact that the user to be detected finishes initial state preparation is detected, voice notification starts testing, n seconds are timed, the action of the user to be detected is obtained through the camera, the number of times of bending of the user to be detected is determined through the fitness test model, after the counting of the n seconds is finished, the system notifies the testee of finishing testing through voice, the number of times of bending is recorded, and an fitness initial analysis result is obtained. Illustratively, n may be 30 seconds.
Fig. 4 is a schematic diagram of an application of a bend dumbbell test according to an embodiment of the present invention, and as shown in fig. 4, after video data of a user to be tested bending a dumbbell is input, it may be determined that a test item is a bend dumbbell test based on a fitness test model, and a fitness initial analysis result is obtained after the test item takes 30 seconds and 28 times.
When the test item corresponding to the functional body adaptability video test data is a back grabbing test, the test initial state is that the user to be tested faces away from the test host camera, the two arms droop, and the user stands naturally. The test method is that after the test host detects that the user to be tested finishes the initial state preparation, the test is started by the voice notification. The method comprises the following steps that one arm of a user to be detected is backwards clung to the back to be upward as much as possible, the arm of the other side of the user to be detected is upwards clung to the back to be downward as much as possible, middle fingers of two hands are close to each other as much as possible, after a camera acquires the action of the user to be detected, the minimum distance between fingertips of the two hands of the user to be detected is determined through a body fitness test model, wherein the distance is positive when; the distance is negative, and the distance is continuously overlapped after the middle fingertip contacts. And after testing the arm on one side, testing the arm on the other side, recording back-grabbing measurement results of the arms on the two sides, and selecting data on the side with the minimum numerical value to obtain an initial analysis result of fitness.
Fig. 5 is an application schematic diagram of a back-grasping test provided by an embodiment of the present invention, and as shown in fig. 5, after video data of a back-grasping test of a user to be detected is input, a body fitness test item can be determined to be a back-grasping test based on a body fitness test model, and a body fitness initial analysis result with a middle finger distance of 7.8 centimeters is obtained.
When the test item corresponding to the functional fitness video test data is a seat standing test, the test initial state can be that a user to be detected sits on a straight-backed chair, and both hands are naturally placed on thighs. The test method comprises the following steps: and after detecting that the user to be detected finishes the initial state preparation, starting the test by the voice notification. And starting timing, judging the number of times of the tested person sitting on the chair through video processing of the camera, finishing timing, informing the user to be tested of finishing the test by system voice, and recording the number of times of the chair sitting. Wherein, the timing duration may be 30 seconds.
When the test item corresponding to the functional body fitness video test data is a forward bending test of a seat body on a chair, the initial state of the test can be that a user to be detected sits on a straight-back chair, the right leg is extended, and the toe of the user is hooked. The test method can be as follows: after the test host computer detects that the user to be detected finishes initial state preparation, a voice notification starts testing, after action data of the user to be detected are obtained through the camera equipment, the fact that the palms and the backs of the two hands and the hands of the user to be detected are overlapped, the arms are straightened, the two hands and the hands of the user to be detected extend downwards along the right leg can be determined based on the body fitness test model, the system tests and records the minimum distance from the fingertips to the tiptoes of the user to be detected, then the distance between the fingertips and the tiptoes when the left leg is straightened is measured, data corresponding to the side with the minimum numerical.
If the test item corresponding to the functional body fitness video test data is a timing and standing test, the initial state of the test process may be: a user to be detected sits on the straight-back chair, and the two hands are naturally placed on the thighs. After the user to be detected finishes the initial preparation state, the user to be detected is informed to start testing through voice, the user to be detected stands up from the straight-back chair according to a preset route, walks to the turning-back point marked by the cone bucket, returns, walks to the straight-back chair, sits down to the initial state, finishes testing, and records the required second time length to obtain functional fitness timing test data. Illustratively, the cone-bucket mark may be 2.44 meters from the starting point.
In addition, when determining the initial analysis result of the physical fitness, any one of a dumbbell bending test, a back-grasping test, a timed standing and walking test, a seat standing test and a seat body forward bending test can be performed, and any combination of the tests can also be performed. That is, the fitness initial analysis results may include: one or more of a dumbbell bending test result, a back grabbing test result, a timing standing and walking test result, a seat standing test result and a seat body forward bending test result.
And carrying out body fitness analysis on the body fitness initial analysis result according to pre-stored functional body fitness standard data to obtain a body fitness analysis result.
In the present embodiment, after determining the fitness initial analysis result, the fitness analysis may be performed on the fitness initial analysis result based on the pre-stored functional fitness standard data. In addition, the initial analysis result of fitness is one type of functional fitness test data, and for other types of data, fitness analysis can be performed on the acquired functional fitness test data according to pre-stored functional fitness standard data to obtain a fitness analysis result.
Wherein, the physical fitness analysis result may include: one or more of static balance, upper and lower limb muscular strength, upper limb flexibility, general flexibility, dynamic balance and agility, and cardiopulmonary endurance.
Specifically, after determining each test result, the test data can be compared with the pre-stored functional fitness standard data according to the gender and age of the user to be tested, so as to obtain the static balance ability, the muscular strength of the upper and lower limbs, the flexibility of the upper limb, the flexibility of the whole body, the dynamic balance and agility, and the heart-lung endurance. Table 1 is a test item correspondence table, and specifically records a correspondence between test items and respective index meanings in corresponding fitness analysis results.
Table 1 test item correspondence table
| Serial number | Test items | Significance of index |
| 1 | Closed-eye one-foot standing test | |
| 2 | Dumbbell bend-lift test | Upper limb muscular strength |
| 3 | Test of Back gripping test | Flexibility of |
| 4 | Seat standing test | Lower limb muscle strength |
| 5 | Chair seat forward bending test | Flexibility of |
| 6 | Timing walk-up test | Dynamic balance and agility |
| 7 | Six minute walk test | Endurance of heart and lung |
Furthermore, the functional fitness criteria data may differ for different age groups and gender. Basic information of the user to be detected can be pre-recorded, and the basic information can comprise name, gender, age, address, telephone, past disease history and the like. And the information of the weight, the height, the BMI, the waist circumference, the hip circumference, the waist-hip ratio, the blood pressure, the heart rate, the electrocardio, the blood oxygen saturation value and the like of the tested person are measured and recorded through the body shape measuring instrument and the intelligent wristwatch. And then determining corresponding functional fitness standard data according to the information.
In addition, the static balance, upper and lower limb muscular strength, upper limb flexibility, general flexibility, dynamic balance and agility, and cardiopulmonary endurance, etc. may also be expressed in terms of fractional values.
Fig. 6 is a radar chart showing the functional fitness provided by the embodiment of the invention, as shown in fig. 6, the radar chart can be divided into six endpoint values of 0, 2, 4, 6, 8 and 10, and then the determined scores of the static balance ability, the muscle strength of the upper and lower limbs, the flexibility of the upper and lower limbs, the agility and the dynamic balance ability are shown in the radar chart, for example, the score of the static balance ability is 2, and the score of the muscle strength of the upper limb is 7.
S203: and sending the body fitness analysis result to a display device for displaying.
In this embodiment, after the physical fitness analysis result is obtained, in order to facilitate the user to be detected and the relevant professional to view the result, the physical fitness analysis result may be sent to the display device to be displayed.
In addition, the physical fitness analysis result can be broadcasted in a voice broadcasting mode, or the physical fitness analysis result can be printed out in a printing mode. Or forming an electronic report and uploading the report to related APP, WeChat public numbers or small programs and the like through terminal equipment.
In addition, the fitness analysis result can be uploaded to a big data analysis module through a network, and a basis is provided for further scientific research and decision making.
After the scheme is adopted, the functional body fitness test data which are acquired by the acquisition equipment and correspond to the user to be detected can be acquired firstly, then based on the prestored standard data, the acquired functional body fitness test data are subjected to body fitness analysis to obtain a body fitness analysis result, and the body fitness analysis result is sent to the terminal equipment to be displayed, so that the body fitness analysis result is obtained by automatically analyzing the body fitness, the manual intervention is reduced, and the accuracy of the functional body fitness test is improved.
Based on the method of fig. 2, the present specification also provides some specific embodiments of the method, which are described below.
In another embodiment, before the inputting the functional fitness video test data into the fitness test model for recognition to obtain fitness initial test data, the method may further include:
and acquiring functional fitness training video data.
And training the functional fitness training video data based on a visual algorithm to obtain a fitness test model.
In the embodiment, the computer vision deep learning algorithm based on the convolutional neural network is more and more widely applied, wherein the openpos human posture identification project is developed based on the convolutional neural network and supervised learning and with caffe as a framework, can realize posture estimation of human body actions, facial expressions, finger motions and the like, is suitable for single-person and multi-person scenes, and has excellent robustness. The DensePose human body posture real-time recognition system divides the human body surface into more than 5000 node coordinates and can recognize the actions of a plurality of people in the same picture. On the basis of the algorithm, the embodiment establishes a video data set in a classified manner for the functional fitness test items of the old people, performs visual algorithm training to obtain a fitness test model, deploys the fitness test model in a server, processes video data from a camera in a test process, and further realizes the testing of fitness actions.
Based on the same idea, an embodiment of the present specification further provides a device corresponding to the method, and fig. 7 is a schematic structural diagram of the functional performance testing device provided in the embodiment of the present invention, as shown in fig. 7, the method may include:
the obtaining module 701 is configured to obtain functional entity fitness test data corresponding to the user to be detected, which is collected by the collection device.
In this embodiment, the functional fitness test data may include: functional fitness video test data, functional fitness plantar pressure test data, and functional fitness walking test data.
Further, if the functional fitness test data is functional fitness video test data, the acquisition apparatus is a camera apparatus,
the obtaining module 701 is further configured to:
and acquiring functional body fitness video test data corresponding to the user to be detected and acquired by the camera equipment.
If the functional body fitness test data are functional body fitness plantar pressure test data, the acquisition equipment is a pressure sensor,
the obtaining module 701 is further configured to:
and acquiring a first total pressure of the user to be detected in a stable state, which is acquired by the pressure sensor.
And acquiring a second total pressure of the user to be detected in an unstable state.
Determining a first duration in which the second total pressure is not less than a first threshold, wherein the first threshold is determined according to the first total pressure.
And obtaining the functional body adaptive plantar pressure test data according to the first duration, the first total pressure and the second total pressure.
The first total pressure is collected by a first pressure sensor corresponding to the left foot side and a second pressure sensor corresponding to the right foot side, and the second total pressure is collected by the first pressure sensor or the second pressure sensor.
Further, the second total pressure in the unstable state is a total pressure on one side of one foot of the user to be detected in an eye opening state, and/or a total pressure on one side of one foot of the user to be detected in an eye closing state.
If the functional fitness test data is functional fitness walking test data, the collecting device is a walking sensor,
the obtaining module 701 is further configured to:
and acquiring the walking distance of the user to be detected within a preset time length acquired by the walking sensor to obtain the functional body fitness walking test data.
And the processing module 702 is configured to perform fitness analysis on the obtained functional fitness test data based on pre-stored functional fitness standard data to obtain a fitness analysis result.
In this embodiment, the processing module 702 is further configured to:
and inputting the functional physical fitness video test data into a physical fitness test model for recognition to obtain a physical fitness initial analysis result, wherein the physical fitness test model is obtained by training functional physical fitness training video data.
And carrying out body fitness analysis on the body fitness initial analysis result according to pre-stored functional body fitness standard data to obtain a body fitness analysis result.
Wherein the fitness initial analysis result may include: one or more of a dumbbell bending test result, a back grabbing test result, a timing standing and walking test result, a seat standing test result and a seat body forward bending test result.
Further, the fitness analysis result may include: one or more of static balance ability, upper and lower limb muscular strength, upper limb flexibility, general flexibility, dynamic balance and agility, and cardiopulmonary endurance.
The processing module 702 is further configured to send the fitness analysis result to a display device for displaying.
In addition, the processing module 702 is further configured to broadcast the physical fitness analysis result in a voice broadcast manner, or print out the physical fitness analysis result in a printing manner. Or forming an electronic report and uploading the report to related APP, WeChat public numbers or small programs and the like through terminal equipment.
In addition, the processing module 702 is further configured to upload the fitness analysis result to the big data analysis module through a network, so as to provide a basis for further scientific research and decision making.
After the scheme is adopted, the functional body fitness test data which are acquired by the acquisition equipment and correspond to the user to be detected can be acquired firstly, then based on the prestored standard data, the acquired functional body fitness test data are subjected to body fitness analysis to obtain a body fitness analysis result, and the body fitness analysis result is sent to the terminal equipment to be displayed, so that the body fitness analysis result is obtained by automatically analyzing the body fitness, the manual intervention is reduced, and the accuracy of the functional body fitness test is improved.
The processing module 702 is further configured to:
and acquiring the functional fitness training video data.
And training the functional fitness training video data based on a visual algorithm to obtain a fitness test model.
The apparatus provided in the embodiment of the present invention may implement the method in the embodiment shown in fig. 2, and the implementation principle and the technical effect are similar, which are not described herein again.
Fig. 8 is a schematic diagram of a hardware structure of the functional fitness test device according to the embodiment of the present invention. As shown in fig. 8, the functional capability test apparatus 800 provided by the present embodiment includes: at least one processor 801 and a memory 802. The processor 801 and the memory 802 are connected by a bus 803.
The collecting device 804 is configured to collect functional physical fitness test data corresponding to the user to be detected, and send the collected data to the processor 801.
In a specific implementation, at least one processor 801 executes computer-executable instructions stored by the memory 802, so that at least one processor 801 executes the method in the above-described method embodiments.
For a specific implementation process of the processor 801, reference may be made to the above method embodiments, which have similar implementation principles and technical effects, and details of this embodiment are not described herein again.
In the embodiment shown in fig. 8, it should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The memory may comprise high speed RAM memory and may also include non-volatile storage NVM, such as at least one disk memory.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
The embodiment of the invention also provides a computer-readable storage medium, wherein a computer execution instruction is stored in the computer-readable storage medium, and when a processor executes the computer execution instruction, the functional body fitness testing method of the embodiment of the method is realized.
The computer-readable storage medium may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk. Readable storage media can be any available media that can be accessed by a general purpose or special purpose computer.
An exemplary readable storage medium is coupled to the processor such the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the readable storage medium may also reside as discrete components in the apparatus.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (13)
1. A functional fitness test method, comprising:
acquiring functional body fitness test data corresponding to a user to be detected, which are acquired by acquisition equipment;
performing fitness analysis on the obtained functional fitness test data based on pre-stored functional fitness standard data to obtain a fitness analysis result;
and sending the fitness analysis result to a display device for displaying.
2. The method of claim 1, wherein the functional fitness test data comprises: functional fitness video test data, functional fitness plantar pressure test data, and functional fitness walking test data.
3. The method according to claim 2, wherein if the functional fitness test data is functional fitness video test data, the acquisition device is a camera device,
the acquiring of the functional body fitness test data corresponding to the user to be detected acquired by the acquisition equipment comprises the following steps:
acquiring functional body fitness video test data corresponding to a user to be detected and acquired by the camera equipment;
then, the performing fitness analysis on the obtained functional fitness test data based on the pre-stored functional fitness standard data to obtain a fitness analysis result, including:
inputting the functional physical fitness video test data into a physical fitness test model for recognition to obtain a physical fitness initial analysis result, wherein the physical fitness test model is obtained by training functional physical fitness training video data;
and carrying out body fitness analysis on the body fitness initial analysis result according to pre-stored functional body fitness standard data to obtain a body fitness analysis result.
4. The method of claim 3, wherein fitting the initial analysis results comprises: one or more of a dumbbell bending test result, a back grabbing test result, a timing standing and walking test result, a seat standing test result and a seat body forward bending test result.
5. The method according to any of claims 2-4, wherein if the functional fitness test data is functional fitness plantar pressure test data, the collection device is a pressure sensor,
then the acquiring of the functional body fitness test data corresponding to the user to be detected acquired by the acquisition equipment comprises:
acquiring a first total pressure of a user to be detected in a stable state, which is acquired by the pressure sensor;
acquiring a second total pressure of the user to be detected in an unstable state;
determining a first duration that the second total pressure is not less than a first threshold, wherein the first threshold is determined according to the first total pressure;
and obtaining the functional body adaptive plantar pressure test data according to the first duration, the first total pressure and the second total pressure.
6. The method of claim 5, wherein the first total pressure is collected by a first pressure sensor associated with a left foot side and a second pressure sensor associated with a right foot side, and wherein the second total pressure is collected by the first pressure sensor or the second pressure sensor.
7. The method according to claim 5, wherein the second total pressure in the unsteady state is a total pressure on a single-foot side of the user to be detected in an eye-open state and/or a total pressure on a single-foot side of the user to be detected in a closed-eye state.
8. The method according to any of claims 2-4, wherein if the functional fitness test data is functional fitness walk test data, the acquisition device is a walk sensor,
then the acquiring of the functional body fitness test data corresponding to the user to be detected acquired by the acquisition equipment comprises:
and acquiring the walking distance of the user to be detected within a preset time length acquired by the walking sensor to obtain the functional body fitness walking test data.
9. The method according to claim 3 or 4, wherein before inputting the functional fitness video test data into a fitness test model for recognition, obtaining fitness initial test data, further comprising:
acquiring the functional fitness training video data;
and training the functional fitness training video data based on a visual algorithm to obtain a fitness test model.
10. The method of any one of claims 1-4, wherein the fitness analysis results comprise: one or more of static balance ability, upper and lower limb muscular strength, upper limb flexibility, general flexibility, dynamic balance and agility, and cardiopulmonary endurance.
11. A functional fitness test device, comprising:
the acquisition module is used for acquiring functional body fitness test data corresponding to the user to be detected, which are acquired by the acquisition equipment;
the processing module is used for carrying out fitness analysis on the acquired functional fitness test data based on pre-stored functional fitness standard data to obtain a fitness analysis result;
and the processing module is used for sending the fitness analysis result to a display device for displaying.
12. A functional fitness test device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the acquisition equipment is used for acquiring the functional body fitness test data corresponding to the user to be detected and sending the acquired data to the processor;
the at least one processor executing the memory-stored computer-executable instructions cause the at least one processor to perform the functional fitness testing method of any of claims 1-10.
13. A computer-readable storage medium, having stored thereon computer-executable instructions, which, when executed by a processor, implement the functional fitness test method of any of claims 1 to 10.
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