CN112071426B - Method, device and equipment for testing functional body fitness - Google Patents
Method, device and equipment for testing functional body fitness Download PDFInfo
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Abstract
The embodiment of the invention provides a method, a device and equipment for testing functional body fitness, wherein the method comprises the following steps: and acquiring functional fitness test data corresponding to the user to be detected, which is acquired by the acquisition equipment, performing fitness analysis on the acquired 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 the display equipment for display. According to the embodiment, the body fit can be automatically analyzed to obtain the body fit analysis result, manual intervention is reduced, and the accuracy of functional body fit test is improved.
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 functional body fitness.
Background
With the reduction of labor population and the increase of disability rate of the aged, the progress of population aging is accelerated, the health management service of the aged is enhanced, the health level of the aged is improved, and the method is an important measure for coping with population aging.
Functional physical fitness (Functional Fitness, FF) refers to the comprehensive physiological function of body composition, cardiopulmonary endurance, muscle strength endurance, pliability and balance quality, and is an important index for measuring the functional independence and health condition of the elderly. The low functional body 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 low functional body fitness may gradually lose the ability to independently live, thereby increasing the medical burden. Therefore, in the case that the health problem faced by the elderly is more and more serious, it is important to perform the functional body fit test on the elderly to know the state of the elderly in advance and further improve the functional body fit of the elderly through the relevant rehabilitation or exercise.
However, in the prior art, the functional fitness of the old is mainly determined by means of manual judgment, the implementation mode is single, the subjectivity is high, and the accuracy of functional fitness test is reduced.
Disclosure of Invention
The embodiment of the invention provides a method, a device and equipment for testing functional body fitness, which are used for improving the accuracy of functional body fitness test.
In a first aspect, an embodiment of the present invention provides a method for testing functional body fitness, including:
Acquiring functional fitness test data corresponding to a user to be detected, which is acquired by acquisition equipment;
based on pre-stored functional fitness standard data, performing fitness analysis on the acquired functional fitness test data to obtain a fitness analysis result;
And sending the body fit analysis result to display equipment for display.
Optionally, the functional fitness test data includes: one or more of functional fitness video test data, functional fitness plantar pressure test data, and functional fitness walking test data.
Optionally, if the functional fitness test data is functional fitness video test data, the acquisition device is an image capturing device,
The acquisition device acquires functional fitness test data corresponding to a user to be detected, and the acquisition device comprises:
Acquiring functional body fit test data corresponding to a user to be detected, which is acquired by the camera equipment;
the step of performing body fit analysis on the acquired functional body fit test data based on the pre-stored functional body fit standard data to obtain body fit analysis results, wherein the step of performing body fit analysis comprises the following steps:
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 through training of functional fitness training video data;
and carrying out body fit analysis on the body fit initial analysis result according to pre-stored functional body fit standard data to obtain a body fit analysis result.
Optionally, the initial analysis result of the fitness comprises: one or more of a bend-lift dumbbell test result, a grab back test result, a time-to-rise test result, a seat-to-stand test result, and a seat-on-seat forward-bend test result.
Optionally, if the functional body fit test data is functional body fit plantar pressure test data, the acquisition device is a pressure sensor,
The acquiring the functional fitness test data corresponding to the user to be detected, which is acquired by the acquisition equipment, comprises the following steps:
acquiring a first total pressure of a user to be detected, which is acquired by the pressure sensor, in a stable state;
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 energy adapting 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 unsteady state is the total pressure of the single-foot side of the user to be detected in the eye opening state and/or the total pressure of the single-foot side of the user to be detected in the eye closing state.
Optionally, if the functional fitness test data is functional fitness walking test data, the acquisition device is a walking sensor,
The acquiring the functional fitness test data corresponding to the user to be detected, which is acquired by the acquisition equipment, comprises the following steps:
And acquiring the walking distance of the user to be detected, acquired by the walking sensor, within a preset time length to obtain the functional body adaptive walking test data.
Optionally, before the functional fitness video test data is input into the fitness test model to be identified, 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 results of the fitness analysis include: static balance ability, upper and lower limb muscle strength, upper limb flexibility, whole body flexibility, dynamic balance and agility, and cardiopulmonary endurance.
In a second aspect, an embodiment of the present invention provides a functional body fitness test device, including:
the acquisition module is used for acquiring functional body adaptation test data corresponding to the user to be detected, which is acquired by the acquisition equipment;
The processing module is used for carrying out body fit analysis on the acquired functional body fit test data based on pre-stored functional body fit standard data to obtain body fit analysis results;
and the processing module is used for sending the body fit analysis result to a display device for display.
In a third aspect, an embodiment of the present invention provides a functional body fitness test apparatus, including: at least one processor and memory;
The memory stores computer-executable instructions;
The acquisition equipment is used for acquiring functional fitness test data corresponding to a user to be detected and sending the acquired data to the processor;
The at least one processor executing computer-executable instructions stored in the memory causes the at least one processor to perform the functional fitness testing method of any one of the first aspects.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where computer-executable instructions are stored, which when executed by a processor, implement the method for testing the functional fitness according to any one of the first aspects.
After the scheme is adopted, functional fitness test data corresponding to a user to be detected, which is acquired by the acquisition equipment, can be acquired firstly, then the acquired functional fitness test data is subjected to fitness analysis based on pre-stored standard data, a fitness analysis result is obtained, and the fitness analysis result is sent to terminal equipment for display, so that the automatic fitness analysis is realized, the fitness analysis result is obtained, 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 invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a schematic diagram of an application system of a functional body adaptability test method according to an embodiment of the present invention;
FIG. 2 is a flow chart of a functional body adaptability test method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an application of a plantar pressure test bench according to an embodiment of the invention;
FIG. 4 is a schematic illustration of an application of the bend-lifted dumbbell test provided by the embodiments of the present invention;
FIG. 5 is a schematic illustration of an application of the back-grip test provided by the embodiments of the present invention;
FIG. 6 is a schematic representation of a radar with functional body adaptation provided by an embodiment of the present invention;
FIG. 7 is a schematic structural diagram of a functional body fitness testing device according to an embodiment of the present invention;
Fig. 8 is a schematic hardware structure diagram of a functional body adaptation testing device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be 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 (Functional Fitness, FF) refers to the integrated physiological function of body composition, cardiopulmonary endurance, muscle strength endurance, pliability and balance quality, and is an important indicator for measuring functional independence and health of the elderly (e.g., elderly who may be aged 60 to 80 years). The low functional body 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 low functional body fitness may gradually lose the ability to independently live, thereby increasing the medical burden. Therefore, in the case that the health problem faced by the elderly is more and more serious, it is important to perform the functional body fit test on the elderly to know the state of the elderly in advance and further improve the functional body fit of the elderly through the relevant rehabilitation or exercise.
However, in the prior art, the functional fitness of the old is mainly determined by means of manual judgment, the implementation mode is single, a large amount of manpower and material resources are required for culturing professionals in the related aspect, the subjectivity is high, and the accuracy of the functional fitness test is reduced.
Based on the problems, the application realizes the automatic functional body fit test of the old through the mode based on the acquisition equipment and the pre-stored functional body fit standard data, reduces manual intervention, and further achieves the technical effect of improving the accuracy of the functional body fit test.
Fig. 1 is a schematic architecture diagram of an application system of a functional fitness testing method according to an embodiment of the present invention, where the application system may include: the capturing apparatus may be an image capturing apparatus 101, and the processing apparatus may be a server 102, for example, an edge calculation server, as illustrated in fig. 1. 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, collected by the image capturing device 101, may be transmitted to the server 102 through the wireless transmission module 103, and the server 102 may perform functional performance analysis on the user to be detected according to the received data of the user to be detected, so as to obtain a functional performance analysis result.
In addition, the application system may further include a display device 105, and after determining the functional fitness analysis result, the server 102 may display the functional fitness analysis result in the display device 105. The display device may 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 fitness analysis result to the terminal device for display after determining the functional fitness analysis result.
In addition, the application system may further include a voice device 106 for reminding the user to be detected of performing related operations. Wherein the voice device 106 may be a speaker.
The technical scheme of the invention is described in detail below by specific examples. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.
Fig. 2 is a flow chart of a functional fitness testing method according to an embodiment of the present invention, where the method of the present embodiment may be executed by the server 102. As shown in fig. 2, the method of the present embodiment may include:
S201: and acquiring functional fitness test data corresponding to the user to be detected, which is acquired by the acquisition equipment.
In this embodiment, when the fitness test is performed on the user to be detected, functional fitness test data corresponding to the user to be detected may be collected by the collection device. Wherein the functional fitness test data may include: one or more of functional fitness video test data, functional fitness plantar pressure test data, and functional fitness walking test data.
Further, the collection modes corresponding to different test data types may be different, which may specifically include:
if the functional fitness test data is functional fitness video test data, the acquisition device may be a camera device, and acquiring the functional fitness test data corresponding to the user to be detected, which is acquired by the acquisition device, may include:
and acquiring functional body fit video test data corresponding to the user to be detected, which is acquired by the camera equipment.
Specifically, the image capturing device may be a video camera, and the collected data may be video data of a preset duration. The preset duration can be set according to the user definition of the tested item. Further, the items corresponding to the functional fitness video test data may include one or more of a bend-lift dumbbell test, a grab back test, a chronograph lift test result, a seat sitting station test, and a seat-on-seat body forward bend test.
If the functional body fit test data is functional body fit plantar pressure test data, and the acquisition device is a pressure sensor, the acquiring the functional body fit test data corresponding to the user to be detected, which is acquired by the acquisition device, may include:
and acquiring the first total pressure of the user to be detected, which is acquired by the pressure sensor, in a stable state.
And obtaining the second total pressure of the user to be detected in an unstable state.
A first duration of time that the second total pressure is not less than a first threshold is determined, wherein the first threshold is determined from the first total pressure.
And obtaining the functional body energy adapting plantar pressure test data according to the first duration, the first total pressure and the second total pressure.
Specifically, the test can also be called closed-eye single-foot standing test, and the test flow can be as follows: the method comprises the steps of firstly obtaining the total pressure in a stable state, then obtaining the total pressure in an unstable state, and further determining functional body fit 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 in a self-defined mode according to actual conditions. For example, the first threshold may be any value between 80% and 95% of the first total pressure, for example, 70kg of the first total pressure, 90% of the first total pressure, that is, 70×90% =63 kg.
Fig. 3 is an application schematic diagram of a plantar pressure test board provided by the embodiment of the invention, and as shown in fig. 3, the test board applied to a closed-eye single-foot standing test project comprises a left test part and a right test part, at least one pressure sensor is deployed on each test part, and the test board is made of hard materials. 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 independently.
When the user to be detected is collected, the user to be detected can firstly be collected to naturally stand on the plantar pressure test board, the left foot and the right foot are respectively placed on the first pressure sensor and the second pressure sensor with the marks, the initial test state is that the first total pressure is the sum of the left pressure sensor and the right pressure sensor, namely P1total=Pleft+Pright. After detecting (through the camera device or the pressure sensor) that the user to be detected completes the initial state, the voice device can remind the user to be detected that the test starts. Then, the user to be detected lifts up a single foot, the value of the corresponding pressure sensor of the side foot gradually becomes smaller until the reading is zero, the second total pressure P2 collected by the corresponding pressure sensor of the side of the standing foot is total, and timing is started.
In addition, the second total pressure in the non-stable state may be the total pressure of the single foot side of the user to be detected in the open eye state, or the total pressure of the single foot side of the user to be detected in the closed eye state. And the total pressure of the single foot side of the user to be detected under the eye opening state can be obtained firstly, if the eye opening test time length is longer than the preset time length, the closed-eye single foot standing test can be carried out, and otherwise, the closed-eye single foot standing test is not carried out. The preset duration may be any value within 6-10 seconds, and may be, for example, 8 seconds.
When the total P2 is less than or equal to 90 percent of the total P1, determining that the test is finished, finishing timing to obtain a first time length, and then determining that the functional body energy adapting plantar pressure test data is in an eye opening state or an eye closing state, wherein the test result of the single-foot standing test time length is the first time length.
If the functional fitness test data is functional fitness walking test data and the acquisition device is a walking sensor, the acquiring the functional 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, acquired by the walking sensor, within a preset time length to obtain the functional body adaptive walking test data.
Specifically, the initial state of the test procedure may be: the user to be detected sits on the straight back chair, the walking sensor is fixed on the ankle part 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 tested person completes the preparation of the initial state of the test, clicking on the tablet computer to start, informing the test host computer to start the test by voice, and starting walking of the tested person and starting timing. The subject can stay or sit on the chair around the path for rest during walking according to the physical condition. After the preset time length, the timing is finished, the voice notification test is finished, and the distance (unit: meter) of the walking sensor or the step number data is automatically read as a test result. The preset duration may be any value within 5-10 minutes, for example, may be six minutes, and the test item corresponding to the functional fitness walking test data may be a six-minute walking test.
In addition, when collecting test data, only one kind of test data can be collected, and various kinds of test data can be collected, and the type and the quantity of the specifically collected test data can be customized according to actual conditions.
S202: based on pre-stored functional fitness standard data, performing fitness analysis on the acquired functional fitness test data to obtain a fitness analysis result.
In this embodiment, if the functional performance test data is functional performance video test data, performing performance analysis on the obtained functional performance test data based on pre-stored functional performance standard data to obtain performance analysis results, which may include:
And 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 through training of the functional fitness training video data.
Specifically, the test items corresponding to the functional fitness video test data may include one or more of a bend-lift dumbbell test, a grab back test, a time-to-rise test, a seat-sitting test, and a seat-on-seat forward-bend test.
When the test item corresponding to the functional body fit video test data is a bend-lift dumbbell test, the initial state of the test is as follows: a user to be detected holds the dumbbell with one hand, wherein the male test dumbbell can be 3.6KG/8 pounds, the female test dumbbell can be 2.3KG/5 pounds, the side is opposite to the camera, and the arms are straightened. The testing method comprises the following steps: after the user to be detected is detected to finish initial state preparation, the voice notification starts testing, n seconds are counted, the action of the user to be detected is acquired through the camera, the bending times of the user to be detected are determined through the body fit testing model, after the n seconds are counted, the system voice notification is used for notifying a tested person to finish testing, the bending times are recorded, and the body fit initial analysis result is obtained. Illustratively, n may be 30 seconds.
Fig. 4 is a schematic diagram of an application of a bend-lifted dumbbell test according to an embodiment of the present invention, as shown in fig. 4, after video data of a user to be detected for bending-lifted dumbbell is input, it may be determined that a test item is a bend-lifted dumbbell test based on a fitness test model, and a time period is 30 seconds, and a fitness initial analysis result with a frequency of 28 is obtained.
When the test items corresponding to the functional body fit video test data are back grabbing test, the initial test state is that the user to be tested is away from the test host camera, the double arms sag, and the user stands naturally. The testing method is that after the testing host detects that the user to be tested completes initial state preparation, the testing host starts testing through voice notification. After the camera obtains the action of the user to be detected, the minimum distance between the fingertips of the two hands of the user to be detected is determined through the body fit test model, wherein the distance is positive when the middle finger cannot be contacted; the middle finger tips continue to overlap after contact, the distance being negative. After one side arm is tested, the other side arm is tested, the back grabbing measurement results of the two side arms are recorded, and the data of the smallest value side is selected to obtain the initial analysis result of the body fit.
Fig. 5 is an application schematic diagram of a back grabbing test provided in the embodiment of the present invention, as shown in fig. 5, after video data of a back grabbing test of a user to be detected is input, it may be determined that a test item is a back grabbing test based on a body fit test model, and a body fit initial analysis result with a middle finger distance of 7.8 cm is obtained.
When the test items corresponding to the functional fitness video test data are seat sitting test, the initial test state can be that the user to be tested sits on the straight back seat, and both hands are naturally placed on the thighs. The testing method comprises the following steps: after detecting that the user to be detected completes the initial state preparation, the voice notification starts the test. Starting timing, judging the number of sitting on the chair of the tested person through camera video processing, ending the timing, informing the user to be detected of ending the test through system voice, and recording the number of sitting on the chair. Wherein the time duration may be 30 seconds.
When the test items corresponding to the functional body fit video test data are the seat on the chair for forward bending test, the initial state of the test can be that the user to be detected sits on the straight back chair, the right leg is straightened, and the toes are hooked. The test method can be as follows: after the test host detects that the user to be detected completes initial state preparation, the voice notification starts the test, after the action data of the user to be detected is obtained through the camera equipment, the overlapping of the palms and the backs of the hands of the user to be detected can be determined based on the fitness test model, the arms are straightened, the arms extend downwards along the right leg, the system tests and records the minimum distance from the fingertips of the middle fingers to the toes of the user to be detected, then the distances between the fingertips and the toes of the user to be detected when the left leg straightens are measured, and the data corresponding to the minimum numerical value side is selected, so that the fitness initial analysis result is obtained.
If the test item corresponding to the functional body adaptation video test data is a time-keeping standing test, the initial state of the test flow may be: the user to be detected sits on the straight back chair, and the hands are naturally placed on the thighs. After the user to be detected is detected to finish the initial preparation state, the user to be detected is informed to start testing by voice, the user to be detected stands up from the straight back chair according to a preset route, walks to the turning point of the cone mark, returns, walks to the straight back chair, sits down to the initial state, ends the testing, records the required second time length and obtains the functional fitness timing test data. Illustratively, the cone mark may be 2.44 meters from the start point.
In addition, when determining the body fit initial analysis result, any one of a bend-lifting dumbbell test, a back-grabbing test, a time-keeping standing test, a seat sitting station test, and a seat-on-seat body forward-flexing test may be performed, or a combination of any of the above tests may be performed. I.e., the results of the initial analysis of the volume fitness may include: one or more of a bend-lift dumbbell test result, a grab back test result, a time-to-rise test result, a seat-to-stand test result, and a seat-on-seat forward-bend test result.
And carrying out body fit analysis on the body fit initial analysis result according to pre-stored functional body fit standard data to obtain a body fit analysis result.
In this embodiment, after the initial analysis result of the fitness is determined, the initial analysis result of the fitness may be subjected to the fitness analysis based on the pre-stored functional fitness standard data. In addition, the initial analysis result of the fitness is one type of functional fitness test data, and for other types of data, the obtained functional fitness test data can be subjected to the fitness analysis according to the pre-stored functional fitness standard data to obtain the fitness analysis result.
Among other things, the results of the fitness analysis may include: static balance, upper and lower limb muscle strength, upper limb flexibility, whole body flexibility, dynamic balance and agility, and cardiopulmonary endurance.
Specifically, after each test result is determined, the test data can be compared with pre-stored functional body fitness standard data according to the gender and age of the user to be detected, so as to obtain static balance capacity, upper and lower limb muscle strength, upper limb flexibility, whole body flexibility, dynamic balance and agility, and heart and lung endurance. Wherein, table 1 is a table corresponding to test items, and specifically records the corresponding relation between the test items and each index meaning in the corresponding fitness analysis result.
Table 1 test item correspondence table
| Sequence number | Test item | Meaning of index |
| 1 | Single foot closed eye standing test | Static equilibrium capacity |
| 2 | Bend-lift dumbbell test | Muscle strength of upper limb |
| 3 | Back-grabbing test | Flexibility of upper limbs |
| 4 | Seat sitting test | Muscle strength of lower limb |
| 5 | Chair seat forward bend test | Flexibility of whole body |
| 6 | Timing up and down test | Dynamic balance and agility |
| 7 | Six minute walk test | Heart and lung endurance |
Furthermore, functional fitness criteria data corresponding to different age groups and gender may be different. The basic information of the user to be detected can be input in advance, and can comprise names, sexes, ages, addresses, telephones, past disease history and the like. And the body weight, the height, the BMI, the waistline, the hip circumference, the waist-hip ratio, the blood pressure, the heart rate, the electrocardio, the blood oxygen saturation value and other information of the tested person are measured and recorded through the body measuring instrument and the intelligent wristwatch. And then determining corresponding functional fitness standard data according to the information.
In addition, static balance, upper and lower limb muscle strength, upper limb flexibility, whole body flexibility, dynamic balance and agility, heart-lung endurance, and the like can also be expressed in terms of fractional values.
Fig. 6 is a schematic diagram of a radar with functional fitness provided by an embodiment of the present invention, as shown in fig. 6, the radar graph may be divided into six endpoint values of 0, 2,4,6, 8, and 10, and then the determined score values of the static balance capacity, the muscle strength of the upper and lower limbs, the flexibility of the upper and lower limbs, the agility, and the dynamic balance capacity are shown in the radar graph, for example, the score value of the static balance capacity is 2, and the score value of the muscle strength of the upper limb is 7.
S203: and sending the body fit analysis result to display equipment for display.
In this embodiment, after the result of the fitness analysis is obtained, in order to facilitate the user to be detected and the related professional to view the result, the result of the fitness analysis may be sent to the display device for display.
In addition, the body fit analysis result can be broadcasted through a voice broadcasting mode, or the body fit analysis result can be printed through a printing mode. Or may be formed into electronic version reports and uploaded to the associated APP, micro-signaling public number or applet, etc. via the terminal device.
In addition, the body fit analysis result can be uploaded to a big data analysis module through a network, so that basis is provided for further scientific research and decision making.
After the scheme is adopted, the functional fitness test data corresponding to the user to be detected, which are acquired by the acquisition equipment, can be acquired firstly, then the acquired functional fitness test data are subjected to fitness analysis based on pre-stored standard data, the fitness analysis result is obtained, and the fitness analysis result is sent to the terminal equipment for display, so that the automatic fitness analysis result is obtained, the manual intervention is reduced, and the accuracy of the functional fitness test is improved.
The examples of the present specification also provide some specific embodiments of the method based on the method of fig. 2, which is described below.
In another embodiment, before the functional fitness video test data is input into the fitness test model for identification, the method may further include:
functional fitness training video data is acquired.
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 OpenPose human body gesture recognition projects are developed based on the convolutional neural network and supervised learning and by taking caffe as a framework, can realize gesture estimation of human body actions, facial expressions, finger movements and the like, are suitable for single-person and multi-person scenes, and have excellent robustness. DensePose human body gesture real-time recognition system divides the human body surface into more than 5000 node coordinates, and can recognize multiple human actions in the same picture. Based on the algorithm, the embodiment classifies and constructs a video data set aiming at the functional fitness test items of the elderly, performs visual algorithm training to obtain a fitness test model, deploys the fitness test model in a server, and processes video data from a camera in the test process so as to realize the test of fitness actions.
Based on the same concept, the embodiment of the present disclosure further provides a device corresponding to the method, and fig. 7 is a schematic structural diagram of a functional body fitness testing device provided by the embodiment of the present disclosure, as shown in fig. 7, may include:
The acquisition module 701 is configured to acquire functional fitness test data corresponding to a user to be detected, which is acquired by the acquisition device.
In this embodiment, the functional fitness test data may include: one or more of functional fitness video test data, functional fitness plantar pressure test data, and functional fitness walking test data.
In addition, if the functional fitness test data is functional fitness video test data, the acquisition device is an image pickup device,
The acquiring module 701 is further configured to:
And acquiring functional body fit video test data corresponding to the user to be detected, which is acquired by the camera equipment.
If the functional body fit test data is functional body fit plantar pressure test data, the acquisition equipment is a pressure sensor,
The acquiring module 701 is further configured to:
and acquiring the first total pressure of the user to be detected, which is acquired by the pressure sensor, in a stable state.
And obtaining the second total pressure of the user to be detected in an unstable state.
A first duration of time that the second total pressure is not less than a first threshold is determined, wherein the first threshold is determined from the first total pressure.
And obtaining the functional body energy adapting 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 unsteady state is the total pressure of the single-foot side of the user to be detected in the eye opening state and/or the total pressure of the single-foot side of the user to be detected in the eye closing state.
If the functional fitness test data is functional fitness walking test data, the acquisition device is a walking sensor,
The acquiring module 701 is further configured to:
And acquiring the walking distance of the user to be detected, acquired by the walking sensor, within a preset time length to obtain the functional body adaptive walking test data.
And the processing module 702 is configured to perform body fit analysis on the obtained functional body fit test data based on pre-stored functional body fit standard data, so as to obtain a body fit analysis result.
In this embodiment, the processing module 702 is further configured to:
And 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 through training of functional fitness training video data.
And carrying out body fit analysis on the body fit initial analysis result according to pre-stored functional body fit standard data to obtain a body fit analysis result.
Wherein, the initial analysis result of the fitness can comprise: one or more of a bend-lift dumbbell test result, a grab back test result, a time-to-rise test result, a seat-to-stand test result, and a seat-on-seat forward-bend test result.
Further, the results of the fitness analysis may include: static balance ability, upper and lower limb muscle strength, upper limb flexibility, whole body flexibility, dynamic balance and agility, and cardiopulmonary endurance.
The processing module 702 is further configured to send the analysis result of the fitness to a display device for display.
In addition, the processing module 702 is further configured to broadcast the fitness analysis result by using a voice broadcast manner, or print the fitness analysis result by using a printing manner. Or may be formed into electronic version reports and uploaded to the associated APP, micro-signaling public number or applet, etc. via the terminal device.
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.
After the scheme is adopted, the functional fitness test data corresponding to the user to be detected, which are acquired by the acquisition equipment, can be acquired firstly, then the acquired functional fitness test data are subjected to fitness analysis based on pre-stored standard data, the fitness analysis result is obtained, and the fitness analysis result is sent to the terminal equipment for display, so that the automatic fitness analysis result is obtained, the manual intervention is reduced, and the accuracy of the functional 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 device provided by the embodiment of the present invention can implement the method of the embodiment shown in fig. 2, and its implementation principle and technical effects are similar, and will not be described herein.
Fig. 8 is a schematic hardware structure diagram of a functional body adaptation testing device according to an embodiment of the present invention. As shown in fig. 8, the functional fitness test apparatus 800 provided in this 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 fitness test data corresponding to a 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 in the memory 802, so that the at least one processor 801 performs the method in the above-described method embodiment.
The specific implementation process of the processor 801 may refer to the above-mentioned method embodiment, and its implementation principle and technical effects are similar, and this embodiment will not be described herein again.
In the embodiment shown in fig. 8, it should be understood that the Processor may be a central processing unit (english: central Processing Unit, abbreviated as CPU), other general purpose processors, digital signal Processor (english: DIGITAL SIGNAL Processor, abbreviated as DSP), application-specific integrated Circuit (english: application SPECIFIC INTEGRATED Circuit, abbreviated as ASIC), and the like. 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 for execution, or in a combination of hardware and software modules in a processor for execution.
The memory may comprise high speed RAM memory or may further comprise non-volatile storage NVM, such as at least one disk memory.
The bus may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (PERIPHERAL COMPONENT INTERCONNECT, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, the buses in the drawings of the present application are not limited to only one bus or to one type of bus.
The embodiment of the invention also provides a computer readable storage medium, wherein computer execution instructions are stored in the computer readable storage medium, and when a processor executes the computer execution instructions, the method for testing the functional fitness of the embodiment of the method is realized.
The computer readable storage medium described above 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 disk, or optical disk. A readable storage medium can be any available medium 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. In the alternative, the readable storage medium may be integral to the processor. The processor and the readable storage medium may reside in an Application SPECIFIC INTEGRATED Circuits (ASIC). The processor and the readable storage medium may reside as discrete components in a device.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the method embodiments described above may be performed by hardware associated with program instructions. The foregoing program may be stored in a computer readable storage medium. The program, when executed, performs steps including the method embodiments described above; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (8)
1. The functional body adaptation energy testing method is characterized by being applied to an edge computing server in a functional body adaptation energy testing system, wherein the functional body adaptation energy testing system comprises acquisition equipment, a wireless transmission module, the edge computing server, display equipment, terminal equipment and voice equipment; the acquisition equipment comprises image pickup equipment, a pressure sensor and a walking sensor; the voice equipment, the edge computing server and the wireless transmission module are arranged in the same shell, the display equipment is arranged above the shell, and the image pickup equipment is arranged above the display equipment; the method comprises the following steps:
Acquiring functional fitness test data corresponding to a user to be detected, which is acquired by acquisition equipment;
based on pre-stored functional fitness standard data, performing fitness analysis on the acquired functional fitness test data to obtain a fitness analysis result;
the body fit analysis result is sent to display equipment for display;
If the functional fitness test data is functional fitness video test data, and the acquisition equipment is camera equipment, the functional fitness test data corresponding to the user to be detected acquired by the acquisition equipment is acquired, and the method comprises the following steps:
Acquiring functional body adaptation video test data corresponding to a user to be detected, which is acquired by the camera equipment; the test items corresponding to the functional body adaptation video test data comprise: a bend-lifting dumbbell test, a back grabbing test, a timing rising and standing test, a seat sitting station test and a seat on-seat body forward bending test;
Based on the pre-stored functional fitness standard data, performing the fitness analysis on the acquired functional fitness test data to obtain a fitness analysis result, including:
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 through training of functional fitness training video data;
Performing body fit analysis on the body fit initial analysis result according to pre-stored functional body fit standard data to obtain a body fit analysis result;
If the functional body fit test data is functional body fit plantar pressure test data, and the acquisition equipment is a pressure sensor, the functional body fit test data corresponding to the user to be detected acquired by the acquisition equipment is acquired, and the method comprises the following steps:
Acquiring a first total pressure of a user to be detected, which is acquired by the pressure sensor, in a stable state; 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;
Acquiring a second total pressure of the user to be detected in an unstable state; the second total pressure is acquired by the first pressure sensor or the second pressure sensor;
Determining a first duration that the second total pressure is not less than a first threshold, wherein the first threshold is any value between 80% of the first total pressure and 95% of the first total pressure;
Obtaining the functional body energy adapting plantar pressure test data according to the first duration, the first total pressure and the second total pressure; if the functional fitness test data is functional fitness walking test data and the acquisition equipment is a walking sensor, acquiring the functional fitness test data corresponding to the user to be detected, which is acquired by the acquisition equipment, includes:
acquiring walking distance of the user to be detected, acquired by the walking sensor, in a preset time length to obtain the functional body adaptive walking test data;
the voice equipment is used for outputting a first notification voice after detecting that a user completes initial state preparation through a camera when performing a bend-lifting dumbbell test, a back-grabbing test, a timing rising and standing test, a seat sitting and standing test and a seat sitting and standing test, and outputting a second notification voice when reaching test duration and the second notification voice is used for notifying the user that the test is finished when performing the bend-lifting dumbbell test and the seat sitting and standing test;
when the test item corresponding to the functional body fit video test data is a chair seat forward-bending test, the initial state of the test is that a user to be detected sits on a straight back chair, the right leg is straightened, and the toe is hooked, and the method comprises the following steps:
After the user to be detected completes initial state preparation, voice notification starts testing, after action data of the user to be detected are obtained through the camera equipment, the overlapping of the palms and the backbones of the hands of the user to be detected is determined based on the fitness test model, arms are straightened, the arms extend downwards along the right leg, the system tests and records the minimum distance from the fingertips to the toes of the middle fingers of the user to be detected, the distances between the fingertips and the toes of the user to be detected when the left leg straightens are measured, and data corresponding to the minimum numerical value side are selected to obtain a fitness initial analysis result.
2. The method of claim 1, wherein the initial analysis of the volume fitness comprises: one or more of a bend-lift dumbbell test result, a grab back test result, a time-to-rise test result, a seat-to-stand test result, and a seat-on-seat forward-bend test result.
3. The method according to claim 1, wherein the second total pressure in the non-steady state is a total pressure on the single foot side of the user to be detected in an open eye state or a total pressure on the single foot side of the user to be detected in a closed eye state.
4. The method of claim 1, further comprising, prior to said inputting said functional fitness video test data into a fitness test model for identification, obtaining a fitness initial analysis result:
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.
5. The method of claim 1 or 2, wherein the results of the fitness analysis comprise: static balance ability, upper and lower limb muscle strength, upper limb flexibility, whole body flexibility, dynamic balance and agility, and cardiopulmonary endurance.
6. A functional body fit test device for implementing the functional body fit test method according to any one of claims 1 to 5, comprising:
the acquisition module is used for acquiring functional body adaptation test data corresponding to the user to be detected, which is acquired by the acquisition equipment;
The processing module is used for carrying out body fit analysis on the acquired functional body fit test data based on pre-stored functional body fit standard data to obtain body fit analysis results;
and the processing module is used for sending the body fit analysis result to a display device for display.
7. A functional body fit test device, comprising: at least one processor and memory;
The memory stores computer-executable instructions;
The at least one processor executing computer-executable instructions stored in the memory causes the at least one processor to perform the functional fitness testing method of any one of claims 1-5.
8. A computer readable storage medium having stored therein computer executable instructions which, when executed by a processor, implement the method of functional fitness testing of any one of claims 1 to 5.
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