Meridian point recognition system in field of acupuncture digitization

Abstract

The invention relates to a meridian point recognition system in the field of acupuncture digitization, and the system comprises a display module which is used for displaying a 3D human body model, the transparency of the 3D human body model is adjustable, and the 3D human body model can display skin, muscle, skeleton, blood vessel, nerve, internal organ anatomical structures, meridians and acupoints layer by layer; the virtual reality operation module is used for being externally connected with virtual reality equipment to perform interactive operation with the 3D human body model; the examination module is used for simulating an acupuncture acupoint selection examination scene, recording test question contents and answers thereof, and scoring acupuncture acupoint selection operation of the current test question of the user; and the identification module is used for identifying the display information of the 3D human body model and the user operation, if in the examination scene, the acupuncture acupoint selection operation of the user is identified based on the 3D human body model, and the examination module scores the acupuncture acupoint selection operation based on the test question content and the answer thereof. According to the invention, the leading-edge digital technology is introduced to assist the practice and examination process, and the learning, training and testing effects are improved.

Description

Technical Field

[0001] The present invention relates to the field of virtual reality interaction technology, and in particular to a meridian and acupoint recognition system in the field of digital acupuncture. Background Art

[0002] Acupuncture is a discipline guided by Traditional Chinese Medicine (TCM) theory that studies meridians, acupoints, and acupuncture methods, exploring the principles of acupuncture for disease prevention and treatment. Acupoint selection, a fundamental part of acupuncture training, is difficult to locate, memorize, and practice. Traditional teaching methods, primarily classroom instruction combined with exercises using illustrations, molds, or the human body, present certain learning limitations and risks. This prevents students from fully understanding the content, reducing their initiative and interest in independent learning. Furthermore, students are unable to immediately determine whether their training is correct, nor can they objectively and timely assess their mastery of the content. Summary of the Invention

[0003] In order to solve the above problems in the prior art, the present invention provides a meridian and acupoint identification system in the field of digital acupuncture, which can facilitate users to practice acupuncture and acupoint selection operations and improve their operational proficiency and knowledge mastery.

[0004] In order to achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a meridian acupoint recognition system in the field of digital acupuncture, comprising:

[0005] A display module is used to display a 3D human body model. The transparency of the 3D human body model is adjustable, and the anatomical structure of the skin, muscles, bones, blood vessels, nerves, internal organs, meridians, and acupuncture points can be displayed layer by layer;

[0006] A virtual reality operation module is used for users to connect an external virtual reality device to interact with the 3D human body model, and the interactive operation includes acupuncture point selection operation;

[0007] The exam module is used to simulate acupuncture point selection exam scenarios, record the test content and answers, and can score the user's acupuncture point selection operation for the current test question;

[0008] The recognition module is used to identify the display information and user operations of the 3D human body model. If the user is in an examination scenario, the user's acupuncture and acupoint selection operations are identified based on the 3D human body model. The examination module will score the acupuncture and acupoint selection operations based on the content of the test questions and their answers.

[0009] The beneficial effects of the present invention are: introducing cutting-edge digital, interactive learning, testing and examination technology for teaching and assessment of traditional Chinese medicine and acupuncture, whose main functions are to assist in the practice and examination process, test the teaching effect, reduce learning restrictions and hidden risks, improve the examination experience, enhance the interest in learning, practicing and taking examinations, enable users to have a more comprehensive understanding of the knowledge content, improve the initiative and interest of users in independent learning, and users can timely and objectively evaluate the degree of mastery of learning content during the training process. Applying it to teaching examinations can greatly improve examination efficiency, realize the automation and optimization of the examination process through digital technology, reduce the time for examination preparation and correction, improve examination efficiency, and also increase the fairness and accuracy of the examination to a certain extent, reducing the examination cost.

[0010] Optionally, it also includes:

[0011] The acupoint description module annotates the specific information of each acupoint on the 3D human body model, including the main treatment information, positioning information, anatomical information, and operation information; in non-acupuncture examination scenarios, the specific information of the acupoint is displayed based on the user's acupoint selection operation identified by the recognition module.

[0012] As can be seen from the above description, when the user clicks to select an acupuncture point on the 3D human body model, the corresponding specific information can be displayed, which is convenient for the user to understand and learn about each acupuncture point.

[0013] Optionally, the test questions in the test module include a standard test question package, a custom test question package, a big data wrong question package, and a personal account wrong question package;

[0014] The standard test question package is a combination of test questions preset by default in the test module;

[0015] The customized test question package is a combination of test questions customized by the user;

[0016] The big data wrong question package collects wrong question information of all users on the Internet and selects a preset number of test question combinations based on the error probability ranking;

[0017] The personal account wrong question package includes a personal local wrong question package, which collects the wrong question information of the current user and selects a preset number of test question combinations based on the error frequency ranking.

[0018] As can be seen from the above description, users can select appropriate test question packages based on their needs for personal training, thereby improving their mastery of relevant knowledge and enhancing training flexibility. Furthermore, using big data technology, it is possible to compile statistics on commonly-mistaken questions and generate big data error question packages. Users can then conduct targeted training on "commonly-mistaken questions," making it easier to grasp the key points of error. Furthermore, users' personal training records can be consolidated and summarized, making it easier for users to identify and address individual issues.

[0019] Optionally, in the big data wrong question package, the collected wrong question information includes the test question content and the wrong operation record. During the collection process, the wrong operation records of the same test question content will be integrated and summarized, and the top N wrong operation information with the highest error frequency will be written into the solution introduction of the current wrong question;

[0020] When a user makes an incorrect operation while using a big data error question package for test training, the system collects the user's current test question content and error operation record in real time, and prompts an answer introduction. The answer introduction includes the correct operation process and the top N error operation information collected by big data. If the user's current error operation record belongs to the top N error operation information, the error operation information will be highlighted.

[0021] From the above description, we can see that the big data error package can collect corresponding error operation records during the collection process, and write high-frequency error operations into the answer introduction. When the user is training with test questions and makes an error, he or she can not only know what the correct operation is, but also what the "common error operation" of this operation is, reducing the probability of users making the same type of errors. At the same time, when the user's error is among the "common error operations", it will also be highlighted, so that the user can psychologically feel the universality of the problem and reduce the resentment towards their own mistakes.

[0022] Optionally, the personal account wrong question package also contains a personal predicted wrong question package;

[0023] The personal predicted wrong question package is based on the wrong question information of the personal local wrong question package, and is combined with the wrong question information of the big data wrong question package to give the top M question combinations of the wrong question correlation between the two, and exclude the correct questions completed by the current user from the associated question combinations, and use the question combinations after the exclusion operation as the personal predicted wrong question package.

[0024] From the above description, it can be seen that the user's local wrong question information and the test question information of the big data wrong question package can be associated to predict the test questions that the user has not done yet but is likely to make mistakes in, so as to generate a personal predicted wrong question package, thereby improving the user's training efficiency.

[0025] Optionally, the custom test package can set the test duration, test question type, test quantity and test rules;

[0026] The test rules include sequential question selection test and random question selection test.

[0027] From the above description, we can see that the test rules of random question selection tests are widely used in examination scenarios such as schools and training, so as to effectively improve the randomness and efficiency of test paper generation and test students more comprehensively.

[0028] Optionally, the 3D human body model of the display module has auxiliary line display function and bone measurement display function.

[0029] As can be seen from the above description, this makes it easier for users to observe acupoint positioning and perform acupuncture point selection practice and assessment.

[0030] Optionally, the 3D human body model has a variety of morphological options, including front model, back model, side model, lying model, two-leg model, single-leg model, single-hand model, arm model, tongue back model, sublingual model and arm-raising model.

[0031] From the above description, it can be seen that a model with an adapted form can be selected according to user needs for acupuncture point selection practice and assessment.

[0032] Optionally, the display module further includes a needle movement visualization window;

[0033] The needle movement visualization window is used to display the user's needle movement operations in a window.

[0034] From the above description, it can be seen that this can enhance the visualization effect of acupuncture operation, demonstrate the acupuncture process, and more intuitively present the acupuncture position, depth and angle, making the virtual operation experience closer to real clinical practice.

[0035] Optionally, a teaching module and a practice module are also included;

[0036] The teaching module is used to play acupuncture acupoint teaching videos in a window and provide an independent control interface;

[0037] The practice module simulates acupuncture point selection practice scenes, and performs acupuncture practice on a 3D human body model based on a virtual reality operation module. During the practice, a teaching video can be played in a window.

[0038] From the above description, we can see that watching and practicing at the same time during acupuncture point selection practice can improve the convenience of learning. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 This is an overall system block diagram of the meridian and acupoint identification system in the field of digital acupuncture in the first embodiment of the present invention;

[0040] Figure 2 This is a classification block diagram of the examination content in the examination module of the first embodiment of the present invention;

[0041] Figure 3 This is an overall schematic diagram of the 3D human body model according to the first embodiment of the present invention;

[0042] Figure 4 Detailed schematic diagram of the 3D human body model according to the first embodiment of the present invention; DETAILED DESCRIPTION

[0043] To better explain the present invention and facilitate understanding, the present invention is described in detail below with reference to the accompanying drawings and through specific embodiments. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a clearer and more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0044] Example 1

[0045] Please refer to Figure 1 As shown, the meridian and acupoint identification system in the field of digital acupuncture includes:

[0046] Display module, reference Figure 3 and Figure 4 As shown, it is used to display a 3D human body model. The transparency of the 3D human body model is adjustable, and the anatomical structures of the skin, muscles, bones, blood vessels, nerves, internal organs, as well as meridians and acupoints (meridians and acupoints include the twelve meridians, the eight extraordinary meridians, the fourteen meridian acupoints and the commonly used extraordinary acupoints) can be displayed layer by layer to view the anatomical positioning of the acupoints at each level, and each layer of the anatomical structure can be accurately displayed simultaneously at any transparency between 0 and 100% (muscles, bones, blood vessels, nerves, and internal organs can also be displayed in this way); wherein, the 3D human body model has a variety of morphological options, including front model, back model, side model, lying model, two-leg model, one-leg model, one-hand model, arm model, tongue back model, sublingual model and raised arm model.

[0047] A virtual reality operation module allows users to connect to a virtual reality device and interact with the 3D human body model. The interactive operations include acupuncture point selection (the operation process includes: needle length selection, acupuncture point selection operation), model selection operation, model arbitrary angle rotation operation, and zooming in and out. Compared with traditional models, the operation is more intuitive and also facilitates observation of acupoint location and human tissue structure from various angles.

[0048] The exam module is used to simulate acupuncture point selection exam scenarios, record the test content and answers, and can score the user's acupuncture point selection operation for the current test question;

[0049] The recognition module is used to identify the display information and user operations of the 3D human body model. If the user is in an examination scenario, the user's acupuncture and acupoint selection operations are identified based on the 3D human body model. The examination module will score the acupuncture and acupoint selection operations based on the content of the test questions and their answers. For example, when using a VR handle to simulate acupuncture and acupoint selection operations on a 3D human body model, the system will automatically determine whether the acupuncture and acupoint selection operation is correct and score it. If the operation is incorrect and the internal organs are pierced, a warning will appear.

[0050] In this embodiment, it also includes:

[0051] The acupoint description module annotates the specific information of each acupoint on the 3D human body model. The specific information includes the main treatment information (referring to the disease or symptoms that the acupoint mainly treats), positioning information (indicating the specific location of the acupoint in the human body), anatomical information (involving the anatomical structures near the acupoint, such as muscles, bones, nerves, etc.), and operation information (describing how to perform the actual medical operation on the acupoint), and marking the conventional needling angle and depth. This part can be referred to Figure 4 As shown, Figure 4 The prompt content in the text box before the human body is the text description of the conventional needle insertion angle and depth;

[0052] In a non-acupuncture examination scenario, the specific information of the acupoint is displayed based on the recognition module identifying the user's acupoint selection operation. For example, when it is recognized that the user clicks on an acupoint by enlarging the model, the specific information of the acupoint is displayed.

[0053] In this embodiment, reference Figure 2 As shown, the test questions in the test module include standard test question packages, custom test question packages, big data wrong question packages and personal account wrong question packages;

[0054] The standard test question package is a combination of test questions preset by default in the test module;

[0055] The customized test question package is a combination of test questions customized by the user;

[0056] The big data wrong question package collects wrong question information of all users on the Internet and selects a preset number of test question combinations based on the error probability ranking;

[0057] The personal account wrong question package includes a personal local wrong question package, which collects the wrong question information of the current user and selects a preset number of test question combinations based on the error frequency ranking.

[0058] In this embodiment, in the big data wrong question package, the collected wrong question information includes the test question content and the wrong operation record. During the collection process, the wrong operation records of the same test question content are integrated and summarized, and the top N wrong operation information with the highest error frequency are written into the solution introduction of the current wrong question;

[0059] When a user makes an incorrect operation while using a big data error question package for test training, the system collects the user's current test question content and error operation record in real time, and prompts an answer introduction. The answer introduction includes the correct operation process and the top N error operation information collected by big data. If the user's current error operation record belongs to the top N error operation information, the error operation information will be highlighted, and the N value is preferably 2 or 3.

[0060] For example, if a user makes an operational error during the assessment of the question "How to select the Zusanli acupoint for routine health care", the user will be prompted to answer and introduce the correct operating procedures: "Select a 40 to 50 mm (1.5 to 2 inch) filiform needle, the acupuncture angle is 90° straight insertion, and the acupuncture depth for routine health care is 1 to 1.2 inches (25 to 30 mm). When the N value is 2, the error operation information is prompted: "The first common operation error: incorrect needle length selection. 70% of users selected 25 to 30 mm (1 to 1.5 inch) filiform needles during the needle length selection process. The second common operation error is that 65% of users selected oblique insertion for the acupuncture angle." When the user's operation belongs to the second common operation error, the information about the second common operation error is highlighted.

[0061] In this embodiment, reference Figure 2 As shown, the personal account wrong question package also contains a personal predicted wrong question package;

[0062] The personal predicted wrong question package is based on the wrong question information of the personal local wrong question package, and is combined with the wrong question information of the big data wrong question package to give the top M question combinations of the wrong question correlation between the two, and exclude the correct questions completed by the current user from the associated question combinations, and use the question combinations after the exclusion operation as the personal predicted wrong question package.

[0063] For example, when the M value is 10, when there is a record of an incorrect operation for the question "How to acupuncture the Zusanli point during routine health care" in the user's personal local wrong question package, the top 10 questions related to the wrong question in the big data wrong question package are displayed, for example, including "How to acupuncture the Hegu point during routine health care", "How to acupuncture the Fengchi point when the user has a migraine" and other 8 questions. During the user's practice, the user has correctly completed the question "How to acupuncture the Fengchi point when the user has a migraine" among these 10 questions. In this case, this correctly completed question will be excluded, and the other 9 questions will be included in the personal predicted wrong question package.

[0064] In this embodiment, the custom test package can set the test duration, test question type, test quantity and test rules;

[0065] The test rules include sequential question selection test and random question selection test.

[0066] In this embodiment, the 3D human body model of the display module has 15 auxiliary line display functions (including 15 auxiliary line display functions such as the mid-axillary line, the first side line of the chest, the parallel line of the elbow transverse line, the parallel line of the wrist transverse line, the parallel line of the anterior axillary line, and the posterior edge of the ear root) and bone measurement display functions (including 20 bone measurement display functions such as the head and face, chest and abdomen, flanks, back and waist, upper limbs, and lower limbs).

[0067] In this embodiment, the display module further includes a needle movement visualization window;

[0068] The needle movement visualization window is used to display the user's needle movement operations in a window.

[0069] In this embodiment, a teaching module and a practice module are also included;

[0070] The teaching module is used to play acupuncture acupoint selection teaching videos in a window, and also covers a variety of acupoint selection teaching videos. It provides an independent control interface and can perform conventional multimedia operations on the teaching videos, such as pause, fast forward, slow play and rewind, to enhance the learning experience.

[0071] The practice module simulates acupuncture point selection practice scenes, and performs acupuncture practice on a 3D human body model based on a virtual reality operation module. During the practice, a teaching video can be played in a window.

[0072] In addition, the system integrates a virtual keyboard for search functionality, allowing users to easily enter keywords in a VR environment and quickly locate required information or functional modules, improving efficiency. New shortcuts for virtual reality devices have been added, allowing users to directly access the toolbar, simplifying the operation process and optimizing the interface layout for more efficient operation and a simpler interface.

[0073] It should be noted that, in the description of this specification, the description of the terms "one embodiment", "some embodiments", "embodiment", "example", "specific example" or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0074] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments after learning the basic creative concept. Therefore, the claims should be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0075] Obviously, those skilled in the art may make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if such modifications and variations fall within the scope of the claims and their equivalents, the present invention shall also include such modifications and variations.

[0076] Therefore, the above description is only an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent transformation made using the contents of the description and drawings of the present invention, or directly or indirectly applied in the relevant technical field, is also included in the patent protection scope of the present invention.

Claims

1. A meridian and acupoint identification system in the field of digital acupuncture, characterized by: include: A display module is used to display a 3D human body model. The transparency of the 3D human body model is adjustable, and the anatomical structure of the skin, muscles, bones, blood vessels, nerves, internal organs, meridians, and acupuncture points can be displayed layer by layer; A virtual reality operation module is used for users to connect an external virtual reality device to interact with the 3D human body model, and the interactive operation includes acupuncture point selection operation; The exam module is used to simulate acupuncture point selection exam scenarios, record the test content and answers, and can score the user's acupuncture point selection operation for the current test question; The recognition module is used to identify the display information and user operations of the 3D human body model. If the user is in an examination scenario, the user's acupuncture and acupoint selection operations are identified based on the 3D human body model. The examination module will score the acupuncture and acupoint selection operations based on the content of the test questions and their answers.

2. The meridian and acupoint identification system in the field of digital acupuncture according to claim 1, characterized in that: Also includes: The acupoint description module annotates the specific information of each acupoint on the 3D human body model, including the main treatment information, positioning information, anatomical information, and operation information; in non-acupuncture examination scenarios, the specific information of the acupoint is displayed based on the user's acupoint selection operation identified by the recognition module.

3. The meridian and acupoint identification system in the field of digital acupuncture according to claim 1, characterized in that: The test questions in the test module include standard test question packages, custom test question packages, big data wrong question packages and personal account wrong question packages; The standard test question package is a combination of test questions preset by default in the test module; The customized test question package is a combination of test questions customized by the user; The big data wrong question package collects wrong question information of all users on the Internet and selects a preset number of test question combinations based on the error probability ranking; The personal account wrong question package includes a personal local wrong question package, which collects the wrong question information of the current user and selects a preset number of test question combinations based on the error frequency ranking.

4. The meridian and acupoint identification system in the field of digital acupuncture according to claim 3, characterized in that: In the big data wrong question package, the collected wrong question information includes the test question content and the wrong operation record. During the collection process, the wrong operation records of the same test question content will be integrated and summarized, and the top N wrong operation information with the highest error frequency will be written into the solution introduction of the current wrong question; When a user makes an incorrect operation while using a big data error question package for test training, the system collects the user's current test question content and error operation record in real time, and prompts an answer introduction. The answer introduction includes the correct operation process and the top N error operation information collected by big data. If the user's current error operation record belongs to the top N error operation information, the error operation information will be highlighted.

5. The meridian and acupoint identification system in the field of digital acupuncture according to claim 3, characterized in that: The personal account wrong question package also contains a personal predicted wrong question package; The personal predicted wrong question package is based on the wrong question information of the personal local wrong question package, and is combined with the wrong question information of the big data wrong question package to give the top M question combinations of the wrong question correlation between the two, and exclude the correct questions completed by the current user from the associated question combinations, and use the question combinations after the exclusion operation as the personal predicted wrong question package.

6. The meridian and acupoint identification system in the field of digital acupuncture according to claim 3, characterized in that: The custom test package can set the test duration, test question type, test quantity and test rules; The test rules include sequential question selection test and random question selection test.

7. The meridian and acupoint identification system in the field of digital acupuncture according to claim 1, characterized in that: The 3D human body model of the display module has auxiliary line display functions and bone degree display functions.

8. The meridian and acupoint identification system in the field of digital acupuncture according to claim 1, characterized in that: In the display module, the 3D human body model has a variety of form options, including front model, back model, side model, lying model, two-leg model, single-leg model, single-hand model, arm model, tongue back model, sublingual model and arm-raising model.

9. The meridian and acupoint identification system in the field of digital acupuncture according to claim 1, characterized in that: The display module also includes a needle movement visualization window; The needle movement visualization window is used to display the user's needle movement operations in a window.

10. The meridian and acupoint identification system in the field of digital acupuncture according to claim 1, characterized in that: It also includes teaching modules and practice modules; The teaching module is used to play acupuncture acupoint teaching videos in a window and provide an independent control interface; The practice module simulates acupuncture point selection practice scenes, and performs acupuncture practice on a 3D human body model based on a virtual reality operation module. During the practice, a teaching video can be played in a window.

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