CN112070031A - Posture detection method, device and equipment - Google Patents
Posture detection method, device and equipment Download PDFInfo
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Abstract
The embodiment of the invention provides a posture detection method, a posture detection device and posture detection equipment, wherein the method comprises the following steps: the method comprises the steps of obtaining posture data of a user to be detected, collected by collection equipment, inputting the posture data into a posture detection model for recognition to obtain posture detection information, wherein the posture detection model is obtained through training of posture training data, evaluating the posture detection information based on prestored posture standard information to obtain a posture detection result corresponding to the user to be detected, and sending the posture detection result to display equipment for display. According to the embodiment, the body state data are automatically analyzed, the body state detection result is obtained, manual intervention is reduced, and the accuracy of body state detection is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of data processing, in particular to a posture detection method, device and equipment.
Background
The body posture (also called posture) relates to the coordination and balance among various tissues and organs of the human body, the correct body posture can ensure that the body is in a stable state, ensure the normal functions of various tissues and organs, reduce the tension degree of muscles and ligaments and further delay the muscle fatigue.
With the rapid development of network technologies, terminal devices (e.g., personal computers, smart phones, tablets, etc.) are becoming more and more popular in people's daily life and study, people's life style and study style have also changed significantly, sitting still, lying still or bending over a table time has increased, physical activity time has decreased, and people's bad body posture rate is becoming higher and higher. And after the bad body posture is formed, the functions of internal organs, heart and lung efficiency, personal physique and the like can be changed, even physiological defects or certain diseases are caused, and the normal life of people is influenced. Therefore, in the case that the rate of bad physical postures is higher and higher, it is important to perform a physical posture test on people to know the state of people in advance, and further improve the physical posture rate of people through related rehabilitation or exercise.
However, in the prior art, the body posture is mainly detected by means of manual judgment, the realization mode is single, the subjectivity is strong, and the accuracy of body posture detection is reduced.
Disclosure of Invention
The embodiment of the invention provides a posture detection method, a posture detection device and posture detection equipment, which are used for improving the accuracy of body posture testing.
In a first aspect, an embodiment of the present invention provides a posture detection method, including:
acquiring posture data of a user to be detected, which is acquired by acquisition equipment;
inputting the posture data into a posture detection model for recognition to obtain posture detection information, wherein the posture detection model is obtained by training posture training data;
evaluating the posture detection information based on prestored posture standard information to obtain a posture detection result corresponding to the user to be detected;
and sending the posture detection result to a display device for displaying.
Optionally, the collecting device is a camera device,
the acquiring of the posture data of the user to be detected acquired by the acquisition equipment comprises the following steps:
acquiring video data of a user to be detected, which is acquired by the camera equipment;
and separating the video data of the user to be detected according to frames to obtain the posture data of the user to be detected.
Optionally, the posture detection information includes detection information corresponding to a plurality of postures,
the evaluating the posture detection information based on the pre-stored posture standard information to obtain the posture detection result corresponding to the user to be detected comprises the following steps:
and evaluating the detection information corresponding to the plurality of posture states based on the pre-stored posture standard information to obtain the posture detection result corresponding to each posture state.
Optionally, the body state detection result corresponding to each body state includes:
any one or more of a round shoulder detection result, a humpback detection result, a head extension detection result, a knee hyperextension detection result, a lumbar excessive forward flexion detection result, a pelvis forward tilting detection result, a pelvis backward tilting detection result, a high-low shoulder detection result, an O-shaped leg detection result, an X-shaped leg detection result, a scoliosis detection result, and a pelvis rolling detection result.
Optionally, before the inputting the posture data into the posture detection model for identification to obtain the posture detection information, the method further includes:
acquiring the posture training data;
and training the posture training data based on a visual algorithm to obtain a posture detection model.
Optionally, before the obtaining the posture data of the user to be detected, which is collected by the collecting device, the method further includes:
and identifying the identity of the user to be detected based on a pre-stored identity identification rule.
In a second aspect, an embodiment of the present invention provides a posture detecting apparatus, including:
the acquisition module is used for acquiring the posture data of the user to be detected, which is acquired by the acquisition equipment;
the processing module is used for inputting the posture data into a posture detection model for recognition to obtain posture detection information, wherein the posture detection model is obtained through posture training data training;
the processing module is further configured to evaluate the posture detection information based on prestored posture standard information to obtain a posture detection result corresponding to the user to be detected;
the processing module is further used for sending the posture detection result to a display device for displaying.
In a third aspect, an embodiment of the present invention provides a posture detection apparatus, including: at least one processor and memory;
the memory stores computer-executable instructions;
the acquisition equipment is used for acquiring the posture data of 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 posture detection 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, and when a processor executes the computer-executable instructions, the method for posture detection according to any one of the first aspect is implemented.
After the scheme is adopted, the posture data of the user to be detected, which are acquired by the acquisition equipment, can be acquired firstly, and are input into the posture detection model to be recognized, so that the posture detection information is obtained, then the posture detection information can be evaluated based on the prestored posture standard information, so that the posture detection result corresponding to the user to be detected is obtained, and the posture detection result is sent to the terminal equipment to be displayed, so that the automatic analysis of the posture data is realized, the posture detection result is obtained, the manual intervention is reduced, and the accuracy of the posture detection 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 structural diagram of an application system of a posture detection method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a posture detection method according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a posture detection method according to another embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a posture detecting device according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a hardware structure of the posture detection apparatus 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.
The body posture (also called posture) relates to the coordination and balance among various tissues and organs of the human body, and the correct body posture can ensure that the body is in a stable state, ensure the normal functions of various tissues and organs, reduce the tension degree of muscles and ligaments and further delay the muscle fatigue. With the rapid development of network technology, terminal devices (e.g., personal computers, smart phones, tablets, etc.) are becoming more and more popular in people's daily life and study, people's life style and study style have also changed significantly, sitting still, lying still or on the table time has increased, physical activity time has decreased, people's bad body posture rate (especially for primary and middle school students) has become higher and higher. And after the bad body posture is formed, the functions of internal organs, heart and lung efficiency, personal physique and the like can be changed, even physiological defects or certain diseases are caused, and the normal life of people is influenced. Therefore, in the case that the rate of bad physical postures is higher and higher, it is important to perform a physical posture test on people to know the state of people in advance, and further improve the physical posture rate of people through related rehabilitation or exercise.
However, in the prior art, the body posture is mainly detected by means of manual judgment, the realization mode is single, the subjectivity is strong, and the accuracy of body posture detection is reduced.
Based on the problems, the method for automatically detecting the posture based on the posture detection model reduces manual intervention, and further achieves the technical effect of improving the accuracy of posture detection.
Fig. 1 is a schematic architecture diagram of an application system of a posture detection 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, the acquisition device may be a camera device 101, wherein the camera device 101 may also be a binocular camera device. The processing device may be a server 102, for example, an edge computing server. In addition, the application system may further include a transmission module 103. The posture data of the user to be detected, which is acquired by the camera device 101, can be transmitted to the server 102 through the transmission module 103, and the server 102 can perform posture analysis on the user to be detected according to the received posture data of the user to be detected, so as to obtain a posture detection result. The transmission module 103 may be a wireless transmission module, for example, a WiFi transmission module, a bluetooth transmission module, or the like.
In addition, the application system may further include a base and a bracket 104, and the base and the bracket 104 may be disposed at the bottom of the transmission module 103.
In addition, the application system may further include a display device, and the server may display the posture detection result in the display device after determining the posture detection 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 posture detection result to the terminal device for display after determining the posture detection result.
In addition, the application system can also comprise voice equipment for reminding the user to be detected to carry out related operations. Wherein the voice device may be a speaker.
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 the posture detection method according to the embodiment of the present invention, and the method of the embodiment may be executed by the server 102. As shown in fig. 2, the method of this embodiment may include:
s201: and acquiring the posture data of the user to be detected, which is acquired by the acquisition equipment.
In this embodiment, when the user is subjected to the posture detection, the posture data of the user to be detected may be obtained first.
Further, the collection equipment can be camera equipment, then acquires the posture data of the user to be detected that the collection equipment gathered, can include:
and acquiring video data of a user to be detected, which is acquired by the camera equipment.
And separating the video data of the user to be detected according to frames to obtain the posture data of the user to be detected.
Specifically, when the posture data of the user to be detected is obtained, the video data of the user to be detected can be obtained through the camera equipment, and the posture action of the user to be detected according to the operation guidance is carried in the video data. For example, the user to be detected can stand upright in a preset area in front of the camera device according to the operation instruction, and then the system guides the user to be detected to shoot the posture of the front, the side and the back of the user to be detected to obtain corresponding posture data.
In addition, the data of the user to be detected, which is acquired by the equipment, can be video data, and when the data is the video data, the video data can be separated according to frames to obtain the body state data containing a plurality of frames of images. In this case, the video data may be separated by 24 frames per second.
Furthermore, the posture data can be any one or more of posture corresponding data such as round shoulder, humpback, head protrusion, knee hyperextension, lumbar over-flexion, pelvis forward inclination, pelvis backward inclination, high and low shoulders, O-shaped leg, X-shaped leg, scoliosis, pelvis side inclination and the like.
Specifically, the round shoulder is the shoulder pronation, the scapular kyphosis is everted, and the measured posture data can be the distance between the shoulder pronation and the body midline. The kyphosis is the excessive kyphosis of the thoracic vertebra, and the measured posture data can be used for measuring the kyphosis distance of the thoracic vertebra by taking the medial line of the side surface of the body as reference. The head is extended forwards, the ear lobe and the shoulder peak are not in a straight line, and the measured posture data can be a deviation value. The hyperextension of the knee exceeds 180 degrees at the rear side of a connecting line of three points of greater trochanter of femur, knee and ankle°. Excessive lumbar flexion means that the lumbar vertebrae are forward beyond the body midline. The pelvic anteversion is the occurrence of pronation in the iliac crest, and the measured posture data may be the distance from the body midline. The retropelvic aspect is the appearance of a posterior rotation in the iliac crest, and the measured posture data may be the distance from the body midline. The height difference of the two shoulders is the height difference of the two shoulders. The O-shaped leg has obvious gaps among the thigh, the knee joint and the shank, and the measured posture data can be the knee gap width. The X-shaped leg is twoThe thighs are in contact, the feet cannot be closed to contact, and the measured posture data can be the width between the feet. The scoliosis is the deviation of the spine to one side when the user to be detected looks from the back side, and the measured posture data is the distance of the scoliosis from the vertical line. Pelvic roll is the difference in elevation between the two iliac ridges of the pelvis.
S202: inputting the posture data into a posture detection model for recognition to obtain posture detection information, wherein the posture detection model is obtained through posture training data training.
In this embodiment, after the posture data is acquired, the posture data may be input into the posture detection model for recognition, so as to obtain the posture detection information.
Further, the posture detection information may include any one or more of shoulder detection information, humpback detection information, head extension detection information, knee hyperextension detection information, lumbar excessive forward flexion detection information, pelvic forward inclination detection information, pelvic backward inclination detection information, high and low shoulder detection information, O-shaped leg detection information, X-shaped leg detection information, scoliosis detection information, and pelvic roll detection information. For example, the circular shoulder detection information may be that the distance between the shoulder pronation and the body midline is 2 cm.
S203: and evaluating the posture detection information based on the pre-stored posture standard information to obtain a posture detection result corresponding to the user to be detected.
In the present embodiment, after obtaining the posture detection information, the posture detection information may be subjected to evaluation processing based on the pre-stored posture standard information. The body state detection information may include detection information corresponding to a plurality of body states, and the implementation manner of evaluating the body state detection information based on pre-stored body state standard information to obtain a body state detection result corresponding to the user to be detected may include: and evaluating the detection information corresponding to the plurality of posture states based on the pre-stored posture standard information to obtain the posture detection result corresponding to each posture state.
Specifically, the body state detection result corresponding to each body state may specifically include:
any one or more of a round shoulder detection result, a humpback detection result, a head extension detection result, a knee hyperextension detection result, a lumbar excessive forward flexion detection result, a pelvis forward tilting detection result, a pelvis backward tilting detection result, a high-low shoulder detection result, an O-shaped leg detection result, an X-shaped leg detection result, a scoliosis detection result, and a pelvis rolling detection result.
Furthermore, the posture standard information can be set according to the actual situation in a user-defined mode, and the posture standard information corresponding to different postures can be different. For example, table 1 is a detailed table of posture standard information corresponding to each posture, and the evaluation standard of each posture is defined in table 1, and specifically, the evaluation standard may be:
table 1 detailed table of posture standard information corresponding to each posture
S204: and sending the posture detection result to display equipment for displaying.
In this embodiment, after the posture detection result is obtained, in order to facilitate the user to be detected and the relevant professional to view the result, the posture detection result may be sent to the display device for display.
In addition, the posture detection result can be broadcasted in a voice broadcasting mode, or the posture detection result can be printed in a printing mode. Or an electronic version report can be formed and uploaded to related APP, WeChat public numbers or small programs and the like through terminal equipment.
In addition, the posture detection result can be uploaded to a posture health big data management platform through a network, the posture health big data can be gathered and managed, a posture health file is established, the posture health problem occurrence rule is analyzed, the correcting and exercising effectiveness is achieved, and a decision basis is provided for health management work.
After the scheme is adopted, the posture data of the user to be detected, which is acquired by the acquisition equipment, can be acquired firstly, and the posture data is input into the posture detection model to be recognized to obtain the posture detection information, then the posture detection information can be evaluated based on the prestored posture standard information to obtain the posture detection result corresponding to the user to be detected, and the posture detection result is sent to the terminal equipment to be displayed, so that the automatic analysis of the posture data is realized, the posture detection result is obtained, the manual intervention is reduced, and the posture detection accuracy is improved.
Based on the method of fig. 2, the present specification also provides some specific embodiments of the method, which are described below.
Fig. 3 is a schematic flow chart of a posture detection method according to another embodiment of the present invention, as shown in fig. 3, before S202, the method according to this embodiment may further include:
s301: and acquiring the posture training data.
S302: and training the posture training data based on a visual algorithm to obtain a posture detection model.
In the implementation, 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 above algorithm, the embodiment constructs a video data set by classification for a posture detection project, performs visual algorithm training to obtain a posture detection model, deploys the posture detection model in a server, and processes video data from a camera in a test process, thereby realizing posture detection.
In addition, in another embodiment, before the acquiring the posture data of the user to be detected, acquired by the acquiring device, the method may further include:
and identifying the identity of the user to be detected based on a pre-stored identity identification rule.
In this embodiment, before the posture detection is performed on the user to be detected, the identity of the user to be detected may be identified, and whether the user to be detected is a user capable of performing the posture detection is determined. Specifically, whether the user is a user who can perform posture detection may be determined in an RFID manner or a face recognition manner.
Furthermore, in another embodiment, the method may further include:
and controlling the voice broadcasting equipment to broadcast the posture detection result.
In this embodiment, after obtaining the posture detection result, in order to remind the user to be detected in time, the posture detection result may be broadcasted through the voice broadcasting device. Wherein, the voice broadcast equipment can be the voice broadcast ware.
In addition, in the process of detecting the posture of the user to be detected, the user can be reminded to execute corresponding actions in a voice broadcasting mode, and therefore the accuracy and the efficiency of detecting the posture of the user are improved.
In addition, the posture standard information may be different for different age groups and genders. 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 such as 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 is measured and recorded through the body shape measuring instrument and the intelligent wristwatch, and then the corresponding body state detection result can be determined according to the information.
Based on the same idea, an embodiment of the present specification further provides a device corresponding to the method, and fig. 4 is a schematic structural diagram of the posture detection device provided in the embodiment of the present invention, as shown in fig. 4, the method may include:
the acquiring module 401 is configured to acquire the posture data of the user to be detected, which is acquired by the acquiring device.
In this embodiment, the acquiring device is a camera device, and the obtaining module 401 is further configured to:
and acquiring video data of the user to be detected, which is acquired by the camera equipment.
And separating the video data of the user to be detected according to frames to obtain the posture data of the user to be detected.
The processing module 402 is configured to input the posture data into a posture detection model for recognition, so as to obtain posture detection information, where the posture detection model is obtained through training of posture training data.
The processing module 402 is further configured to evaluate the posture detection information based on pre-stored posture standard information, so as to obtain a posture detection result corresponding to the user to be detected.
In this embodiment, the posture detection information includes detection information corresponding to a plurality of postures,
the processing module 402 is further configured to:
and evaluating the detection information corresponding to the plurality of posture states based on the pre-stored posture standard information to obtain the posture detection result corresponding to each posture state.
The body state detection result corresponding to each body state may include:
any one or more of a round shoulder detection result, a humpback detection result, a head extension detection result, a knee hyperextension detection result, a lumbar excessive forward flexion detection result, a pelvis forward tilting detection result, a pelvis backward tilting detection result, a high-low shoulder detection result, an O-shaped leg detection result, an X-shaped leg detection result, a scoliosis detection result, and a pelvis rolling detection result.
The processing module 402 is further configured to send the posture detection result to a display device for displaying.
The processing module 402 is further configured to:
and acquiring the posture training data.
And training the posture training data based on a visual algorithm to obtain a posture detection model.
The processing module 402 is further configured to:
and identifying the identity of the user to be detected based on a pre-stored identity identification rule.
The processing module 402 is further configured to:
and controlling the voice broadcasting equipment to broadcast the posture detection result.
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. 5 is a schematic diagram of a hardware structure of the posture detection apparatus according to the embodiment of the present invention. As shown in fig. 5, the posture detecting apparatus 500 provided in the present embodiment includes: at least one processor 501 and memory 502. The processor 501 and the memory 502 are connected by a bus 503.
The collecting device 504 is configured to collect posture data corresponding to a user to be detected, and send the collected data to the processor 501.
In a specific implementation, the at least one processor 501 executes the computer-executable instructions stored in the memory 502, so that the at least one processor 501 executes the method in the above-described method embodiments.
For a specific implementation process of the processor 501, reference may be made to the above method embodiments, which implement the similar principle and technical effect, and this embodiment is not described herein again.
In the embodiment shown in fig. 5, 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 present invention further provides a computer-readable storage medium, where a computer execution instruction is stored in the computer-readable storage medium, and when a processor executes the computer execution instruction, the method for detecting a posture in the above method embodiment is implemented.
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 (10)
1. A posture detection method, comprising:
acquiring posture data of a user to be detected, which is acquired by acquisition equipment;
inputting the posture data into a posture detection model for recognition to obtain posture detection information, wherein the posture detection model is obtained by training posture training data;
evaluating the posture detection information based on prestored posture standard information to obtain a posture detection result corresponding to the user to be detected;
and sending the posture detection result to a display device for displaying.
2. The method of claim 1, wherein the acquisition device is a camera device,
the acquiring of the posture data of the user to be detected acquired by the acquisition equipment comprises the following steps:
acquiring video data of a user to be detected, which is acquired by the camera equipment;
and separating the video data of the user to be detected according to frames to obtain the posture data of the user to be detected.
3. The method according to claim 1, wherein the posture detection information includes detection information corresponding to a plurality of postures,
the evaluating the posture detection information based on the pre-stored posture standard information to obtain the posture detection result corresponding to the user to be detected comprises the following steps:
and evaluating the detection information corresponding to the plurality of posture states based on the pre-stored posture standard information to obtain the posture detection result corresponding to each posture state.
4. The method according to claim 3, wherein the body state detection result corresponding to each body state comprises:
any one or more of a round shoulder detection result, a humpback detection result, a head extension detection result, a knee hyperextension detection result, a lumbar excessive forward flexion detection result, a pelvis forward tilting detection result, a pelvis backward tilting detection result, a high-low shoulder detection result, an O-shaped leg detection result, an X-shaped leg detection result, a scoliosis detection result, and a pelvis rolling detection result.
5. The method according to any one of claims 1-4, further comprising, before inputting the posture data into a posture detection model for recognition to obtain posture detection information:
acquiring the posture training data;
and training the posture training data based on a visual algorithm to obtain a posture detection model.
6. The method according to any one of claims 1 to 4, wherein before the acquiring the posture data of the user to be detected acquired by the acquisition device, the method further comprises:
and identifying the identity of the user to be detected based on a pre-stored identity identification rule.
7. The method according to any one of claims 1-4, further comprising:
and controlling the voice broadcasting equipment to broadcast the posture detection result.
8. A posture detecting device, comprising:
the acquisition module is used for acquiring the posture data of the user to be detected, which is acquired by the acquisition equipment;
the processing module is used for inputting the posture data into a posture detection model for recognition to obtain posture detection information, wherein the posture detection model is obtained through posture training data training;
the processing module is further configured to evaluate the posture detection information based on prestored posture standard information to obtain a posture detection result corresponding to the user to be detected;
the processing module is further used for sending the posture detection result to a display device for displaying.
9. A posture detecting apparatus, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the acquisition equipment is used for acquiring the posture data of 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 posture detection method of any of claims 1-7.
10. A computer-readable storage medium having computer-executable instructions stored thereon, which when executed by a processor, implement the posture detection method of any one of claims 1 to 7.
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