Motion posture recognition system and method based on big data and image recognition

Abstract

The invention provides a motion posture recognition system and method based on big data and image recognition, and the system comprises an energy button which is used for collecting the posture information of a human body and transmitting the posture information to an intelligent terminal; the intelligent terminal is used for identifying the attitude information and sending an attitude identification result to the server; the image acquisition device is used for acquiring image data in the movement process, analyzing and processing the image data and then sending an image processing result to the server; the server is used for performing final analysis and recognition according to the posture recognition result and the image processing result to obtain a final recognition result; and sending the final identification result to the intelligent terminal. According to the technical scheme, efficient and accurate recognition of the human body motion posture is achieved.

Description

Background Art

[0002] At present, human pose recognition mainly relies on two methods: image analysis and sensor analysis. Image analysis depends on high-precision acquisition devices and is not universal; while the method of using sensor analysis to judge human pose recognition is complex and has poor robustness. Recognizing complex actions is time-consuming and difficult. Therefore, there is an urgent need for a convenient and accurate human pose recognition method. Summary of the Invention

[0003] This application provides a motion pose recognition system and method based on big data and image recognition to achieve efficient and accurate recognition of human motion poses.

[0004] In the first aspect, a motion pose recognition system based on big data and image recognition is provided, including:

[0005] An energy button, configured to collect human pose information and send it to the smart terminal;

[0006] The smart terminal is configured to recognize the pose information and send the pose recognition result to the server;

[0007] An image acquisition device, configured to collect image data during the movement, perform analysis and processing, and send the image processing result to the server;

[0008] The server is configured to perform final analysis and recognition based on the pose recognition result and the image processing result to obtain a final recognition result; and send the final recognition result to the smart terminal.

[0009] In the above technical solution, by setting an energy button to collect human pose information and send it to the smart terminal; the smart terminal is used to recognize the pose information and send the pose recognition result to the server; the image acquisition device is used to collect image data during the movement, perform analysis and processing, and send the image processing result to the server; the server is used to perform final analysis and recognition based on the pose recognition result and the image processing result to obtain a final recognition result; and send the final recognition result to the smart terminal, efficient and accurate recognition of human motion poses is achieved.

[0010] In a specific feasible implementation, the energy button includes:

[0011] A position sensor, configured to collect human pose information;

[0012] A microprocessor, configured to preprocess the pose information;

[0013] A Bluetooth module, configured to send the preprocessed pose information to the smart terminal.

[0014] In a specific feasible implementation, the image acquisition device analyzes and processes the image data by using a skeleton extraction algorithm.

[0015] In a specific feasible implementation, the server performs final analysis and recognition by using a distributed database algorithm to obtain a final recognition result.

[0016] In a second aspect, a motion posture recognition method based on big data and image recognition is provided, including the following steps:

[0017] Collect the posture information of the human body by using an energy button and send it to the intelligent terminal;

[0018] Use the intelligent terminal to recognize the posture information and send the posture recognition result to the server;

[0019] Use the image acquisition device to collect the image data during the movement process, and send the image processing result to the server after analysis and processing;

[0020] Use the server to perform final analysis and recognition according to the posture recognition result and the image processing result to obtain a final recognition result; and send the final recognition result to the intelligent terminal.

[0021] In the above technical solution, by setting an energy button for collecting the posture information of the human body and sending it to the intelligent terminal; an intelligent terminal for recognizing the posture information and sending the posture recognition result to the server; an image acquisition device for collecting the image data during the movement process and sending the image processing result to the server after analysis and processing; the server for performing final analysis and recognition according to the posture recognition result and the image processing result to obtain a final recognition result; and sending the final recognition result to the intelligent terminal, the efficient and accurate recognition of the human body motion posture is realized.

[0022] In a specific feasible implementation, the energy button includes:

[0023] A position sensor for collecting the posture information of the human body;

[0024] A microprocessor for preprocessing the posture information;

[0025] A Bluetooth module for sending the preprocessed posture information to the intelligent terminal.

[0026] In a specific feasible implementation, the image acquisition device analyzes and processes the image data by using a skeleton extraction algorithm.

[0027] In a specific feasible embodiment, it is characterized in that the server uses a distributed database algorithm for final analysis and recognition to obtain a final recognition result.

[0028] In a third aspect, an electronic device is provided. The electronic device includes a processor, the processor is coupled to a memory, and at least one computer program is stored in the memory. The at least one computer program is loaded and executed by the processor so that the electronic device implements any one of the motion posture recognition methods based on big data and image recognition.

[0029] In the above technical solution, an energy button is set to collect the posture information of the human body and send it to the smart terminal; the smart terminal is used to recognize the posture information and send the posture recognition result to the server; the image acquisition device is used to collect the image data during the movement process, and after analysis and processing, send the image processing result to the server; the server is used to perform final analysis and recognition according to the posture recognition result and the image processing result to obtain a final recognition result; and send the final recognition result to the smart terminal; realizing efficient and accurate recognition of the human body's motion posture.

[0030] In a fourth aspect, a computer-readable storage medium is provided. At least one computer program is stored in the computer-readable storage medium. The at least one computer program is loaded and executed by a processor so that the computer-readable storage medium implements any one of the motion posture recognition methods based on big data and image recognition.

[0031] In the above technical solution, an energy button is set to collect the posture information of the human body and send it to the smart terminal; the smart terminal is used to recognize the posture information and send the posture recognition result to the server; the image acquisition device is used to collect the image data during the movement process, and after analysis and processing, send the image processing result to the server; the server is used to perform final analysis and recognition according to the posture recognition result and the image processing result to obtain a final recognition result; and send the final recognition result to the smart terminal; realizing efficient and accurate recognition of the human body's motion posture. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a structural block diagram of a motion posture recognition system based on big data and image recognition provided by an embodiment of the present application;

[0033] Figure 2 It is a flow block diagram of a motion posture recognition method based on big data and image recognition provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0034] The present application will be further described in detail below with reference to the accompanying drawings and embodiments. Through these descriptions, the features and advantages of the present application will become clearer and more definite.

[0035] As used herein, the term "exemplary" means "serving as an example, embodiment, or illustration". Any embodiment described herein as "exemplary" should not necessarily be construed as superior or better than other embodiments. Although various aspects of the embodiments are shown in the drawings, the drawings do not have to be drawn to scale unless otherwise specified.

[0036] In addition, the technical features involved in different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.

[0037] To facilitate understanding of the motion posture recognition system and method based on big data and image recognition provided by the embodiments of the present application, its application scenario will be described first. The motion posture recognition system and method based on big data and image recognition provided by the embodiments of the present application are used to achieve efficient and accurate recognition of human motion postures. At present, human posture recognition mainly relies on two methods: image analysis and sensor analysis. Image analysis depends on high-precision acquisition devices and is not universal; while the method of using sensors to analyze and judge human postures is complex and has poor robustness, and it is time-consuming and difficult to recognize complex actions. Therefore, there is an urgent need for a convenient and accurate human posture recognition method. For this reason, the embodiments of the present application provide a motion posture recognition system and method based on big data and image recognition to achieve efficient and accurate recognition of human motion postures. The following will describe it in detail with reference to specific drawings and embodiments.

[0038] Reference Figure 1 and Figure 2 , Figure 1 are the structural block diagrams of the motion posture recognition system based on big data and image recognition provided by the embodiments of the present application; Figure 2 is the flow block diagram of the motion posture recognition method based on big data and image recognition provided by the embodiments of the present application.

[0039] In Figure 1 ,the embodiments of the present application provide a motion posture recognition system based on big data and image recognition, including:

[0040] An energy button, configured to collect the posture information of the human body and send it to the smart terminal;

[0041] A smart terminal, configured to recognize the posture information and send the posture recognition result to the server;

[0042] An image acquisition device, configured to collect image data during the movement, perform analysis and processing, and send the image processing result to the server;

[0043] The server is used to perform final analysis and recognition based on the posture recognition result and the image processing result to obtain a final recognition result, and send the final recognition result to the intelligent terminal.

[0044] In the above technical solution, by setting an energy button for collecting human body posture information and sending it to the intelligent terminal; the intelligent terminal is used to recognize the posture information and send the posture recognition result to the server; the image acquisition device is used to collect image data during the movement process, and after analysis and processing, send the image processing result to the server; the server is used to perform final analysis and recognition based on the posture recognition result and the image processing result to obtain a final recognition result, and send the final recognition result to the intelligent terminal, realizing efficient and accurate recognition of human body movement postures.

[0045] In this embodiment, by setting up a comprehensive system of an energy button, an intelligent terminal, an image acquisition device, and a server, efficient and accurate recognition of human body movement postures is achieved. The beneficial effects include:

[0046] Improve recognition accuracy: By collecting human body posture information through the energy button and combining the image data obtained by the image acquisition device, the system can comprehensively analyze the human body movement posture from multiple dimensions. The fusion of such multi-dimensional data significantly improves the accuracy of posture recognition and reduces the possibility of misjudgment.

[0047] Enhance recognition efficiency: The rapid recognition of posture information by the intelligent terminal and the comprehensive analysis of the posture recognition result and the image processing result by the server make the entire recognition process more efficient. This helps to provide timely feedback and guidance in real-time applications such as sports training and rehabilitation training.

[0048] Realize personalized analysis: The system can record and analyze the movement postures of individuals, thereby providing personalized recognition results and suggestions. This is of great significance for formulating targeted training plans and optimizing sports skills.

[0049] Promote intelligent applications: This solution provides a basis for intelligent applications such as intelligent fitness coaches and intelligent sports analysis systems. These applications can provide intelligent guidance and suggestions for users according to the recognition results, enhancing the user experience.

[0050] Support remote monitoring and management: As a data processing center, the server can receive and store data from the intelligent terminal and the image acquisition device. This makes remote monitoring and management possible, facilitating continuous tracking and analysis of the movement status of individuals or groups.

[0051] Enhance data security: During data transmission and storage, encryption technology can be adopted to protect the security of user data. This helps prevent data leakage and abuse, and protects the privacy rights and interests of users.

[0052] Promote scientific research and teaching: This solution has broad application prospects in the field of scientific research, such as research in human kinematics, biomechanics, etc. At the same time, it can also be used as an auxiliary tool for physical education teaching and training to help students better understand and master sports skills.

[0053] Optimize the user experience: By providing accurate and timely gesture recognition results and personalized suggestions, the system can significantly improve the user experience. Users can adjust their exercise plans according to their own needs and abilities to achieve better exercise effects.

[0054] In summary, through the comprehensive system of setting the energy button, intelligent terminal, image acquisition device and server, the efficient and accurate recognition of human motion postures not only improves the accuracy and efficiency of recognition, but also promotes the development of intelligent applications, enhances the user experience and data security.

[0055] In a specific feasible implementation, the energy button includes:

[0056] A position sensor for collecting the posture information of the human body;

[0057] A microprocessor for preprocessing the posture information;

[0058] A Bluetooth module for sending the preprocessed posture information to the intelligent terminal.

[0059] In a specific feasible implementation, the image acquisition device uses a skeleton extraction algorithm to analyze and process the image data.

[0060] In a specific feasible implementation, the server uses a distributed database algorithm for final analysis and recognition to obtain the final recognition result.

[0061] In Figure 2 this application embodiment provides a motion posture recognition method based on big data and image recognition, including the following steps:

[0062] Use the energy button to collect the posture information of the human body and send it to the intelligent terminal;

[0063] Use the intelligent terminal to recognize the posture information and send the posture recognition result to the server;

[0064] Use the image acquisition device to collect the image data during the movement process, and send the image processing result to the server after analysis and processing;

[0065] The server is used to perform final analysis and recognition based on the posture recognition result and the image processing result to obtain a final recognition result, and send the final recognition result to the intelligent terminal.

[0066] In the above technical solution, an energy button is provided to collect the posture information of the human body and send it to the intelligent terminal; the intelligent terminal is used to recognize the posture information and send the posture recognition result to the server; the image acquisition device is used to collect the image data during the movement, and send the image processing result to the server after analysis and processing; the server is used to perform final analysis and recognition based on the posture recognition result and the image processing result to obtain a final recognition result, and send the final recognition result to the intelligent terminal, realizing efficient and accurate recognition of the human body movement posture.

[0067] In a specific feasible implementation, the energy button includes:

[0068] A position sensor for collecting the posture information of the human body;

[0069] A microprocessor for preprocessing the posture information;

[0070] A Bluetooth module for sending the preprocessed posture information to the intelligent terminal.

[0071] In a specific feasible implementation, the image acquisition device uses a skeleton extraction algorithm to analyze and process the image data.

[0072] In a specific feasible implementation, the server uses a distributed database algorithm to perform final analysis and recognition to obtain a final recognition result.

[0073] The embodiment of the present application also provides an electronic device, which includes a processor. The processor is coupled to a memory, and at least one computer program is stored in the memory. The at least one computer program is loaded and executed by the processor to enable the electronic device to implement any one of the motion posture recognition methods based on big data and image recognition.

[0074] In the above technical solution, an energy button is provided to collect the posture information of the human body and send it to the intelligent terminal; the intelligent terminal is used to identify the posture information and send the posture recognition result to the server; the image acquisition device is used to collect the image data during the movement, and send the image processing result to the server after analysis and processing; the server is used to perform final analysis and recognition based on the posture recognition result and the image processing result to obtain the final recognition result; and send the final recognition result to the intelligent terminal; realizing efficient and accurate recognition of the human body movement posture.

[0075] The embodiment of the present application also provides a computer-readable storage medium, in which at least one computer program is stored, and the at least one computer program is loaded and executed by a processor so that the computer-readable storage medium implements any one of the above-mentioned motion posture recognition methods based on big data and image recognition.

[0076] In the above technical solution, an energy button is provided to collect the posture information of the human body and send it to the intelligent terminal; the intelligent terminal is used to identify the posture information and send the posture recognition result to the server; the image acquisition device is used to collect the image data during the movement, and send the image processing result to the server after analysis and processing; the server is used to perform final analysis and recognition based on the posture recognition result and the image processing result to obtain the final recognition result; and send the final recognition result to the intelligent terminal; realizing efficient and accurate recognition of the human body movement posture.

[0077] Those skilled in the art of the present application know that the present application can be implemented as a system, a method or a computer program product.

[0078] Therefore, the present disclosure can be specifically implemented in the following forms: it can be completely hardware, can also be completely software (including firmware, resident software, microcode, etc.), or a combination of hardware and software, which is generally referred to as "circuit", "module" or "system" in this article. In addition, in some embodiments, the present application can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable media contains computer-readable program code.

[0079] Any combination of one or more computer-readable media may be employed. The computer-readable media may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example - but not limited to - an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium include: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present document, a computer-readable storage medium may be any tangible medium that contains or stores a program which can be used by or in connection with an instruction execution system, apparatus, or device.

[0080] Although the embodiments of the present application have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art may make variations, modifications, substitutions, and alterations to the above embodiments within the scope of the present application. On this basis, various substitutions and improvements may be made to the present application, and all of these fall within the protection scope of the present application.

Claims

1. A motion posture recognition system based on big data and image recognition, characterized in that, Comprising: An energy button for collecting human body posture information and sending it to a smart terminal; The smart terminal for identifying the posture information and sending the posture recognition result to the server; An image acquisition device for collecting image data during movement, analyzing and processing it, and sending the image processing result to the server; The server for performing final analysis and recognition based on the posture recognition result and the image processing result to obtain a final recognition result; And sending the final recognition result to the smart terminal.

2. The motion posture recognition system based on big data and image recognition according to claim 1, characterized in that, The energy button includes: A position sensor for collecting human body posture information; A microprocessor for preprocessing the posture information; A Bluetooth module for sending the preprocessed posture information to the smart terminal.

3. The motion posture recognition system based on big data and image recognition according to claim 2, characterized in that, The image acquisition device uses a skeleton extraction algorithm to analyze and process the image data.

4. The motion posture recognition system based on big data and image recognition according to claim 3, characterized in that, The server uses a distributed database algorithm for final analysis and recognition to obtain a final recognition result.

5. A motion posture recognition method based on big data and image recognition, characterized in that, Including the following steps: Using the energy button to collect human body posture information and send it to the smart terminal; Using the smart terminal to identify the posture information and send the posture recognition result to the server; Using the image acquisition device to collect image data during movement, analyzing and processing it, and sending the image processing result to the server; Using the server to perform final analysis and recognition based on the posture recognition result and the image processing result to obtain a final recognition result; And sending the final recognition result to the smart terminal.

6. The method for recognizing a motion posture based on big data and image recognition according to claim 5, wherein, The energy button includes: A position sensor for collecting human body posture information; A microprocessor for preprocessing the posture information; A Bluetooth module for sending the preprocessed posture information to the smart terminal.

7. The motion posture recognition method based on big data and image recognition according to claim 6, characterized in that, The image acquisition device uses a skeleton extraction algorithm to analyze and process the image data.

8. The method for recognizing motion postures based on big data and image recognition according to claim 7, characterized in that, The server uses a distributed database algorithm for final analysis and recognition to obtain a final recognition result.

9. An electronic device, characterized in that, The electronic device includes a processor, the processor is coupled to a memory, and at least one computer program is stored in the memory. The at least one computer program is loaded and executed by the processor so that the electronic device implements the method for recognizing a movement posture based on big data and image recognition according to any one of claims 5 to 8.

10. A computer-readable storage medium, characterized in that, At least one computer program is stored in the computer-readable storage medium. The at least one computer program is loaded and executed by a processor so that the computer-readable storage medium implements the method for recognizing a movement posture based on big data and image recognition according to any one of claims 5 to 8.

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