Inspection analysis result generation method and system based on intelligent glasses and intelligent glasses

Abstract

The invention relates to the technical field of human body monitoring, and discloses an inspection analysis result generation method and system based on intelligent glasses and the intelligent glasses, and the inspection analysis result generation method based on the intelligent glasses comprises the steps: obtaining target information of a user, determining a propaganda and education scheme according to the target information, and demonstrating to the user according to the propaganda and education scheme. Obtaining visual angle perception information of the user, and sending test action guidance information to the user according to the visual angle perception information; when it is detected that the user executes the test action, obtaining physical sign data of the user; and generating an examination analysis result according to the physical sign data. The efficiency of medical propaganda and education inspection can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of human body monitoring, in particular to a check analysis result generation method and system based on smart glasses, smart glasses and a computer readable storage medium. BACKGROUND

[0002] The conventional medical examination propaganda and guidance method of the related art includes: artificial oral propaganda, in which medical staff explains the pre-examination preparation, examination process and matters needing attention to the patient through language or paper materials; non-intelligent device assistance, such as playing a fixed video to demonstrate the examination process or guiding the route through fixed signs; passive data collection, which relies on the patient's active feedback or manual recording of vital signs (such as heart rate, blood pressure) and examination action completion by medical staff. Therefore, artificial medical examination propaganda results in low medical examination propaganda efficiency.

[0003] Therefore, the prior art still needs to be improved and developed. SUMMARY

[0004] The main purpose of the present application is to provide a check analysis result generation method and system based on smart glasses and smart glasses, aiming at solving the problem of low medical examination propaganda efficiency caused by artificial medical examination propaganda in the prior art.

[0005] The first aspect of the embodiment of the present application provides a check analysis result generation method based on smart glasses, which comprises the following steps:

[0006] Obtaining target information of a user, determining a propaganda scheme according to the target information, and demonstrating to the user according to the propaganda scheme;

[0007] Obtaining visual perception information of the user, and issuing guidance information of a test action to the user according to the visual perception information;

[0008] When it is detected that the user performs the test action, obtaining vital sign data of the user;

[0009] Generating a check analysis result according to the vital sign data.

[0010] Optionally, in an embodiment of the present application, the target information includes identity data and examination type, and the propaganda scheme includes propaganda speaking speed and propaganda expression;

[0011] The determination of the propaganda scheme according to the target information specifically includes:

[0012] If it is judged according to the identity data that the user is a child, the propaganda speaking speed and propaganda expression of the child are determined according to the detection type;

[0013] If it is judged according to the identity data that the user is an old person, the propaganda speed and expression of the old person are determined according to the detection type.

[0014] Optionally, in an embodiment of the present application, the guidance information includes action adjustment prompts and action target achievement prompts.

[0015] The guidance information of the test action sent to the user according to the visual angle perception information specifically includes:

[0016] The visual angle perception information is identified to obtain the key features of the user.

[0017] The key features are compared with preset standard features to obtain an action compliance degree.

[0018] If the action compliance degree meets preset requirements, an action target achievement prompt of the test action is generated, and the action target achievement prompt of the test action is sent to the user.

[0019] If the action compliance degree does not meet preset requirements, an action adjustment prompt of the test action is generated, and the action adjustment prompt of the test action is sent to the user.

[0020] Optionally, in an embodiment of the present application, the key features include arm positions and breathing amplitudes.

[0021] The key features are compared with preset standard features to obtain an action compliance degree, specifically including:

[0022] The arm positions are compared with preset positions to obtain an arm compliance degree, and the breathing amplitudes are compared with preset amplitudes to obtain a breathing compliance degree.

[0023] A first weight corresponding to the arm compliance degree and a second weight corresponding to the breathing compliance degree are obtained, and an action compliance degree is obtained according to the arm compliance degree, the first weight, the breathing compliance degree, and the second weight.

[0024] Optionally, in an embodiment of the present application, after the guidance information of the test action sent to the user according to the visual angle perception information, it further includes:

[0025] The current number of the action adjustment prompts is obtained.

[0026] If the current number exceeds a preset number, an action deviation warning is sent to a server.

[0027] Optionally, in an embodiment of the present application, the vital sign data includes heart rate data, blood pressure data, and blood oxygen data.

[0028] The body sign data of the user is acquired when the test action of the user is detected, in particular:

[0029] The heart rate data, the blood pressure data and the blood oxygen data are acquired when the test action of the user is detected and the test action is maintained for a preset time, wherein the heart rate data, the blood pressure data and the blood oxygen data are respectively synchronized with an action execution timestamp in a process of executing the test action.

[0030] Optionally, in an embodiment of the present application, the inspection analysis result is generated according to the body sign data, in particular:

[0031] A threshold warning model is constructed, the heart rate data, the blood pressure data and the blood oxygen data are input into the threshold warning model, and the inspection analysis result is generated.

[0032] The second aspect of the embodiment of the present application further provides a check analysis result generation system based on smart glasses, wherein the check analysis result generation system based on smart glasses is applied to the check analysis result generation method based on smart glasses in any of the above solutions; the check analysis result generation system based on smart glasses comprises:

[0033] An education demonstration module is configured to acquire target information of a user, determine an education scheme according to the target information, and demonstrate to the user according to the education scheme;

[0034] An action guidance module is configured to acquire visual perception information of the user, and send guidance information of a test action to the user according to the visual perception information;

[0035] A data acquisition module is configured to acquire body sign data of the user when the test action of the user is detected;

[0036] A data analysis module is configured to generate an inspection analysis result according to the body sign data.

[0037] The third aspect of the embodiment of the present application further provides a smart glass, wherein the smart glass comprises a memory, a processor and a check analysis result generation program based on smart glasses stored in the memory and executable on the processor, and the check analysis result generation program based on smart glasses implements the steps of the check analysis result generation method based on smart glasses when executed by the processor.

[0038] A fourth aspect of this application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a smart glasses-based examination and analysis result generation program, which, when executed by a processor, implements the steps of the smart glasses-based examination and analysis result generation method described above.

[0039] Beneficial effects: This application provides a method, system, and smart glasses for generating examination analysis results based on smart glasses. This application generates personalized plans by automatically matching patient information, reducing manual preparation time. Through perspective perception analysis, it corrects patient examination actions (such as positioning and breath-holding) in real time, reducing operational errors. Dynamic monitoring of vital signs data can provide early warning of abnormalities (such as sudden increase in heart rate), ensuring the safety of the examination, thereby improving the efficiency of medical education examinations and enhancing the patient experience. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 This is a flowchart of a preferred embodiment of the method for generating inspection and analysis results based on smart glasses in this application;

[0042] Figure 2 This is a structural diagram of a preferred embodiment of the smart glasses-based inspection and analysis result generation system of this application;

[0043] Figure 3 This is a structural diagram of a preferred embodiment of the smart glasses of this application.

[0044] Explanation of reference numerals in the attached figures:

[0045] 100. Education and demonstration module; 200. Action guidance module; 300. Data acquisition module; 400. Data analysis module. Detailed Implementation

[0046] To make the objectives, technical solutions, and effects of this application clearer and more explicit, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. The described embodiments are only possible technical implementations of this application and not all possible implementations. Based on the embodiments in this application, those skilled in the art can obtain other embodiments without creative effort, and these embodiments are also within the protection scope of this application.

[0047] Among the related technologies, manual education requires repetitive operations, is time-consuming, and cannot cover multiple patients simultaneously. Paper-based video materials lack interactivity, making them difficult for patients to understand, thus leading to low efficiency. Furthermore, the content of education cannot be adjusted according to individual patient characteristics (such as age and condition), resulting in a lack of personalization and inconsistent guidance effectiveness. During examinations, it is impossible to monitor patients' vital signs (such as breathing and the standardization of movements) in real time, requiring on-site observation by medical staff, which can easily lead to the omission of crucial information. Post-examination precautions must be explained verbally, which patients are prone to forgetting. Satisfaction surveys rely on paper questionnaires, resulting in long data collection periods. Medical staff must participate in education and guidance throughout the process, consuming clinical manpower and impacting other diagnostic and treatment work.

[0048] To address the issue of low efficiency in medical education and outreach due to manual procedures, this application addresses this problem by automatically matching patient information to generate personalized plans, reducing manual preparation time. Through perspective perception analysis, it corrects patient examination actions (such as positioning and breath-holding) in real time, reducing operational errors. Dynamic monitoring of vital signs data can provide early warnings of abnormalities (such as sudden increases in heart rate), ensuring examination safety. This improves the efficiency of medical education and outreach and enhances the patient experience.

[0049] This application replaces manual patient education by providing personalized, interactive pre-examination guidance and demonstrations, real-time monitoring of patient vital signs and the standardization of examination procedures, dynamically adjusting guidance strategies, reducing repetitive work for medical staff, improving diagnostic and treatment efficiency, and integrating multi-source data (vital signs, feedback) to provide decision support for clinical diagnosis and treatment. This application can also accurately guide patients through location data, reducing patient disorientation or waiting time; and automatically push notifications of precautions and satisfaction questionnaires after the examination, improving patient compliance and timely feedback.

[0050] The technical solutions of this application will be described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0051] First, the system architecture of the smart glasses in this application is described. The smart glasses of this application adopt a combination of non-magnetic materials and optical fiber transmission to ensure accurate signal transmission and avoid magnetic field and radio frequency interference. In the interaction module, eye tracking and bone conduction are combined to allow patients to communicate with operators through eye movements and bone conduction, avoiding the inability to transmit language. The vital signs monitoring module can monitor the patient's vital signs such as heart rate, pulse, blood pressure, and blood oxygen in real time to ensure that the patient's vital signs remain stable during the examination and waiting period. The environmental adaptation (active noise reduction) module uses sound waves to effectively reduce the high-frequency noise generated by high-field magnetic resonance imaging, making the examination comfortable and the interaction smooth.

[0052] The preferred embodiment of this application describes a method for generating examination and analysis results based on smart glasses, such as... Figure 1As shown, the method for generating examination and analysis results based on smart glasses includes the following steps:

[0053] In step S101, the user's target information is obtained, an education plan is determined based on the target information, and the education plan is demonstrated to the user.

[0054] In one possible implementation, the target information includes identity data and inspection type, and the education plan includes education speech rate and education expression. If the user is determined to be a child based on the identity data, the education speech rate and education expression for the child are determined based on the inspection type; if the user is determined to be an elderly person based on the identity data, the education speech rate and education expression for the elderly person are determined based on the inspection type.

[0055] Specifically, the smart glasses have a built-in infrared camera that authenticates the user's identity by scanning the unique texture of their iris. Iris recognition offers high uniqueness and is contactless, ensuring that the device is used only by authorized users. Data is synchronized with the Hospital Information System (HIS), retrieving the patient's master index in the HIS in real time to obtain the user's basic information (name, age, gender), medical history (allergies, past conditions), examination type, and current status (admission / outpatient), ensuring seamless integration of identity verification and medical data. Dynamic data cleaning and matching are performed, cleaning and standardizing patient information in the HIS to resolve data inconsistencies between multiple systems (such as ID differences for the same patient in different systems). Based on the target information provided by the patient (such as ID number, medical record number), a unique record in the HIS is matched. If multiple matching records exist, the system automatically marks them and prompts for manual intervention to ensure data accuracy.

[0056] Based on patient information, content is dynamically matched from the health education knowledge base. Matching rules include: age stratification (using animated demonstrations for children and increasing voice guidance frequency for the elderly); examination type adaptation (emphasizing contraindications to metal objects during MRI and focusing on breathing training for CT); and risk warnings (automatically pushing emergency measures to heart patients and adding blood glucose monitoring prompts to diabetic patients). The system then dynamically adjusts the pace of education based on real-time vital signs (e.g., abnormal heart rate) or environmental noise (feedback from the active noise reduction module), pausing demonstrations and prompting medical staff for intervention when necessary. The content is also tailored to the patient's language preferences (e.g., dialect) and cognitive level (e.g., education level), for example, using larger fonts and slower speech for elderly patients. An eye-tracking interaction confirmation step (e.g., "Do you understand?") is added to the demonstration, allowing users to select answers through eye contact; the system records feedback and optimizes subsequent processes.

[0057] During the demonstration and interaction, visual demonstrations are projected onto a 3D anatomical model or operational instructions (such as surgical positioning) via a non-magnetic fiber optic display screen on smart glasses; auditory guidance is provided through bone conduction headphones playing step-by-step instructions, avoiding environmental noise interference and supporting dialect conversion; eye-tracking interaction involves the user confirming / denying their gaze, with the system recording eye movement trajectories (such as fixation point and dwell time) to assess comprehension, automatically repeating key steps if the assessment is not met. After the demonstration, a brief Q&A session is conducted via bone conduction, combined with eye-tracking data to determine whether the user truly understood the concepts.

[0058] In step S102, the user's perspective perception information is obtained, and guidance information for test actions is issued to the user based on the perspective perception information.

[0059] In one possible implementation, the guidance information includes action adjustment prompts and action compliance prompts. The user's key features are identified by analyzing the perspective perception information; these key features are compared with preset standard features to obtain action compliance; if the action compliance meets preset requirements, an action compliance prompt for the test action is generated and sent to the user; if the action compliance does not meet preset requirements, an action adjustment prompt for the test action is generated and sent to the user.

[0060] Specifically, the high-definition camera built into the smart glasses captures the user's (patient's) perspective in real time, ensuring the image is clear and covers key examination areas (such as the arm, chest, etc.). The camera parameters (resolution, frame rate) are adjusted according to the type of examination (such as CT, MRI, functional examination) to ensure that the image quality meets the analysis requirements. The original image is then subjected to noise reduction and contrast adjustment to improve the recognizability of key features (such as limb contours, markers). Then, key point detection is performed to identify key points of the patient's limbs or organs (such as joint positions, respiratory amplitude).

[0061] The process of comparing movement standards is summarized, comparing the identified movements with the system's built-in standard movement library (such as correct positioning and breathing commands), calculating the movement conformity, and dynamically adjusting the movement standards based on the patient's medical history and examination needs to ensure personalized guidance. Types of guidance information include voice prompts, using concise instructions (such as "Please raise your arm to chest height") via the smart glasses' speakers to guide the patient in adjusting their movements; visual prompts, overlaying virtual markers (such as red arrows indicating the correct direction) or example videos on the glasses' display screen to visually demonstrate the correct movement; and multimodal fusion, combining voice and visual prompts to ensure that patients with different cognitive levels can understand the guidance content. This application continuously acquires images of the patient after adjustments, re-identifies and compares the movements, forming a closed-loop process of "acquisition-analysis-guidance-adjustment".

[0062] In one possible implementation, the key features include arm position and breathing amplitude. The arm position is compared with a preset position to obtain arm compliance, and the breathing amplitude is compared with a preset amplitude to obtain breathing compliance. A first weight corresponding to the arm compliance and a second weight corresponding to the breathing compliance are obtained, and the action compliance is obtained based on the arm compliance, the first weight, the breathing compliance, and the second weight.

[0063] Specifically, the motion compliance score is calculated as: arm compliance score × first weight + breathing compliance score × second weight. The first and second weights are determined based on the user's target information and the detection type to ensure the accuracy of the motion compliance score.

[0064] In one possible implementation, the current number of times the action adjustment prompt is obtained; if the current number exceeds a preset number, an action deviation warning is sent to the server.

[0065] Specifically, if the patient's repeated adjustments still do not meet the standards, the system will trigger an alert and notify medical staff to intervene; combined with real-time vital sign data (such as heart rate and respiratory rate), the guidance strategy will be dynamically adjusted (such as extending the breath-holding guidance time for patients with shortness of breath).

[0066] In step S103, when the user is detected performing the test action, the user's vital signs data are acquired.

[0067] In one possible implementation, the vital signs data includes heart rate data, blood pressure data, and blood oxygen data. When it is detected that the user is performing the test action and the test action is held for a preset time, the user's heart rate data, blood pressure data, and blood oxygen data are acquired, wherein the heart rate data, blood pressure data, and blood oxygen data are synchronized with the action execution timestamp during the execution of the test action.

[0068] Specifically, once a user's action is verified as valid by visual recognition and sensors, the smart glasses automatically activate the vital sign data acquisition module. The acquisition devices include built-in sensors, such as a photoplethysmography (PPG) sensor to collect heart rate and blood oxygen saturation, and a piezoelectric sensor or electronic blood pressure monitor module to measure blood pressure. Data is synchronized with external medical devices (such as portable electrocardiographs and blood glucose meters) via Bluetooth or Wi-Fi. The vital sign data is synchronized with the time point of the action execution to ensure the correlation between the data and the action.

[0069] In step S104, examination and analysis results are generated based on the vital signs data.

[0070] In one possible implementation, a threshold warning model is constructed, and the heart rate data, blood pressure data, and blood oxygen data are input into the threshold warning model to generate inspection and analysis results.

[0071] Specifically, the preprocessing of vital sign data involves removing or correcting errors, outliers, and duplicates to ensure accuracy and reliability. The raw data is converted into a format suitable for analysis, such as through normalization or standardization, to facilitate subsequent analysis. Useful features are extracted from the preprocessed data, such as identifying abnormal physiological indicators or trend changes, providing a foundation for further analysis. Data analysis is then performed using trained machine learning models, such as models predicting cardiovascular disease risk, to conduct in-depth analysis of the patient's vital sign data and identify potential health problems. Based on the analysis results, a detailed examination and analysis report is generated, indicating potential health problems or abnormal indicators in the patient. Clinical treatment guidance is provided by feeding back the analysis results to medical staff, providing a basis for clinical diagnosis and treatment. Medical staff can adjust treatment plans or take further examination measures based on the report.

[0072] Next, referring to the accompanying drawings, a system for generating inspection and analysis results based on smart glasses, according to an embodiment of this application, is described.

[0073] Figure 2 This is a structural diagram of the inspection and analysis result generation system based on smart glasses, according to an embodiment of this application.

[0074] like Figure 2 As shown, the smart glasses-based examination and analysis result generation system includes: a publicity and demonstration module 100, a motion guidance module 200, a data acquisition module 300, and a data analysis module 400.

[0075] Specifically, the education and demonstration module 100 is used to obtain the user's target information, determine the education and demonstration plan based on the target information, and demonstrate the education and demonstration plan to the user.

[0076] The action guidance module 200 is used to acquire the user's perspective perception information and issue guidance information for test actions to the user based on the perspective perception information.

[0077] The data acquisition module 300 is used to acquire the user's vital sign data when it is detected that the user is performing the test action;

[0078] The data analysis module 400 is used to generate examination analysis results based on the vital sign data.

[0079] Figure 3 A structural diagram of smart glasses provided in an embodiment of this application. The smart glasses may include:

[0080] The memory 501, the processor 502, and the computer program stored on the memory 501 and capable of running on the processor 502.

[0081] When the processor 502 executes the program, it implements the method for generating inspection and analysis results based on smart glasses provided in the above embodiments.

[0082] Furthermore, smart glasses also include:

[0083] Communication interface 503 is used for communication between memory 501 and processor 502.

[0084] The memory 501 is used to store computer programs that can run on the processor 502.

[0085] The memory 501 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0086] If the memory 501, processor 502, and communication interface 503 are implemented independently, then the communication interface 503, memory 501, and processor 502 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EIS) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 3 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0087] Optionally, in a specific implementation, if the memory 501, processor 502, and communication interface 503 are integrated on a single chip, then the memory 501, processor 502, and communication interface 503 can communicate with each other through an internal interface.

[0088] Processor 502 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0089] This embodiment also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for generating inspection and analysis results based on smart glasses.

[0090] One embodiment of this application provides a computer program product, including a computer program that, when executed by a processor, implements the features described in this application. Figure 1 The corresponding embodiments provide a method for generating inspection and analysis results based on smart glasses.

[0091] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to user-analyzed data, user-stored data, user-displayed data, etc.) and signals involved in this invention are all information, data and signals authorized by the user or fully authorized by all parties; and the collection, use and processing of relevant information, data and signals comply with the laws, regulations and standards of relevant countries and regions.

[0092] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0093] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0094] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0095] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable storage medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable storage medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable storage medium could be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0096] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0097] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0098] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0099] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

[0100] It should be understood that the application of this application is not limited to the examples above. Those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.

[0101] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A method for generating an inspection analysis result based on smart glasses, characterized by, The method for generating an examination analysis result based on smart glasses comprises the following steps: acquiring target information of a user, determining an education and propaganda scheme according to the target information, and demonstrating to the user according to the education and propaganda scheme; acquiring visual perception information of the user, and issuing guidance information of a test action to the user according to the visual perception information; when detecting that the user performs the test action, acquiring vital sign data of the user; generating an examination analysis result according to the vital sign data.

2. The smart glasses-based inspection analysis result generation method of claim 1, wherein, The target information comprises identity data and examination types, and the education and propaganda scheme comprises education and propaganda speed and education and propaganda expression. The method for determining an education and propaganda scheme according to the target information specifically comprises the following steps: if it is judged according to the identity data that the user is a child, then determining education and propaganda speed and education and propaganda expression of the child according to the detection type; if it is judged according to the identity data that the user is an old person, then determining education and propaganda speed and education and propaganda expression of the old person according to the detection type.

3. The smart glasses-based inspection analysis result generation method according to claim 2, characterized by, The guidance information comprises action adjustment prompts and action standard attainment prompts. The method for issuing guidance information of a test action to the user according to the visual perception information specifically comprises the following steps: identifying the visual perception information to obtain key features of the user; comparing the key features with preset standard features to obtain an action compliance degree; if the action compliance degree meets preset requirements, then generating an action standard attainment prompt of a test action, and issuing the action standard attainment prompt of the test action to the user; if the action compliance degree does not meet preset requirements, then generating an action adjustment prompt of a test action, and issuing the action adjustment prompt of the test action to the user.

4. The smart glasses-based inspection analysis result generation method according to claim 3, characterized by, The key features comprise arm positions and breathing amplitudes. The method for comparing the key features with preset standard features to obtain an action compliance degree specifically comprises the following steps: comparing the arm positions with preset positions to obtain an arm compliance degree, and comparing the breathing amplitudes with preset amplitudes to obtain a breathing compliance degree; acquiring a first weight corresponding to the arm compliance degree and a second weight corresponding to the breathing compliance degree, and obtaining an action compliance degree according to the arm compliance degree, the first weight, the breathing compliance degree and the second weight. 5.The smart glasses based inspection analysis result generation method of claim 3, wherein, The method for issuing guidance information of a test action to the user according to the visual perception information further comprises the following steps: acquiring a current number of the action adjustment prompts; if the current number exceeds a preset number, then sending an action deviation early warning to a server. 6.The smart glasses based inspection analysis result generation method of claim 3, wherein, The vital sign data comprises heart rate data, blood pressure data and blood oxygen data. The method for acquiring vital sign data of the user when detecting that the user performs the test action specifically comprises the following steps: when detecting that the user performs the test action and maintains the test action for a preset time, acquiring heart rate data, blood pressure data and blood oxygen data of the user, wherein the heart rate data, the blood pressure data and the blood oxygen data are respectively synchronized with action execution time stamps in a process of performing the test action. 7.The smart glasses based inspection analysis result generation method of claim 6, wherein, The method for generating an examination analysis result according to the vital sign data specifically comprises the following steps: A threshold early warning model is constructed, the heart rate data, the blood pressure data and the blood oxygen data are input into the threshold early warning model, and an examination analysis result is generated.

8. An intelligent glasses-based examination analysis result generation system, characterized by comprising: The smart glasses-based examination analysis result generation system is applied to the smart glasses-based examination analysis result generation method in any one of claims 1-7. The smart glasses-based examination analysis result generation system comprises: An education demonstration module is configured to acquire target information of a user, determine an education scheme according to the target information, and demonstrate to the user according to the education scheme; An action guidance module is configured to acquire visual perception information of the user, and send guidance information of a test action to the user according to the visual perception information; A data acquisition module is configured to acquire vital sign data of the user when it is detected that the user performs the test action; A data analysis module is configured to generate an examination analysis result according to the vital sign data.

9. An intelligent eyewear, characterized in that, The smart glasses comprise a memory, a processor, and a smart glasses-based examination analysis result generation program stored in the memory and executable on the processor, and the smart glasses-based examination analysis result generation program, when executed by the processor, implements the steps of the smart glasses-based examination analysis result generation method in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a smart glasses-based examination analysis result generation program, and the smart glasses-based examination analysis result generation program, when executed by the processor, implements the steps of the smart glasses-based examination analysis result generation method in any one of claims 1-7.

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