Virtual simulation operating system based on VR
By designing operation capture, environment perception, path optimization, behavioral analysis and feedback modules in the VR virtual simulation operating system, the problem that existing systems cannot effectively capture the user's two-finger operation and lack of environmental perception is solved, and a higher sense of immersion, comfort and personalized experience is achieved.
Patent Information
- Application Number
- CN202510214213.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-26
- Publication Date
- 2025-06-06
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing VR virtual simulation operating system cannot effectively capture and utilize the user's two-finger operation, and lacks perception and adjustment of real-time environmental changes in environmental perception, resulting in the inability to adjust the walking path according to environmental parameters, which has limitations.
A virtual simulation operating system based on VR is designed, including operation capture module, environment perception module, path optimization module, behavior analysis module and feedback module. The system generates an initial walk path by capturing the user's two-finger operation, and monitors environmental data in real time to optimize the path, predicts user behavioral intentions, and dynamically adjusts walk data to provide real-time feedback.
It improves the immersion and comfort of users in the virtual environment, enhances the accuracy of behavioral intention prediction, improves the personalized experience of the virtual environment, and thus improves the safety and comfort of users.
Smart Images
Figure CN120107524A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of monitoring and analysis technology, and in particular to a virtual simulation operating system based on VR. Background Art
[0002] With the rapid development of virtual reality technology, VR devices have been widely used in games, education, medical care and other fields.
[0003] In the related technologies, traditional VR virtual simulation operating systems usually rely on handle or keyboard operations to generate walking paths, lack the capture and utilization of user two-finger operations, and the existing VR virtual simulation operating systems mainly rely on preset environmental parameters in terms of environmental perception, lack the perception and adjustment of real-time environmental changes, and are unable to adjust the walking path based on environmental parameters. It has certain limitations and there is room for improvement. Summary of the invention
[0004] In view of the deficiencies in the prior art, the present application provides a virtual simulation operating system based on VR.
[0005] In a first aspect, the present application provides a virtual simulation operating system based on VR, comprising: An operation capture module, used to connect to the panoramic display device, capture the two-finger operation corresponding to the target user, and generate an initial walking path corresponding to the target user in the virtual environment based on the two-finger operation; The environment perception module is used to monitor the corresponding environment data around the target user in real time through a preset sensor device when the target user moves along the initial walking path in the virtual environment; A path optimization module, used to optimize the initial walking path corresponding to the target user in the virtual environment and the corresponding environmental data around the target user, and construct a virtual walking path corresponding to the target user based on the optimization result; A behavior analysis module, used to predict the behavior intention of the target user in the virtual environment based on the virtual walking path corresponding to the target user, and dynamically adjust the virtual walking data corresponding to the target user based on the behavior intention; The feedback module is used to provide real-time feedback in the virtual environment to the target user.
[0006] Preferably, the two-finger operation corresponding to the target user includes a sliding operation, a pinching operation, a rotating operation and a clicking operation; and the environmental data corresponding to the surroundings of the target user includes light intensity data, sound data and temperature data.
[0007] Preferably, generating an initial walking path corresponding to the target user in the virtual environment based on the two-finger operation specifically includes: The target user selects a node in the virtual environment by double-finger clicking to set it as the starting point of the walking path, and records the spatial coordinates corresponding to the starting point of the walking path as the starting position; The target user draws a path in the virtual environment by sliding with two fingers, and disconnects the touch at the end point, and records the spatial coordinates corresponding to the end point as the starting point of the initial walking path, and the spatial coordinates corresponding to the starting point of the walking path as the target position; The starting position and the target position are used to generate an initial walking path corresponding to the target user in the virtual environment according to a preset production rule.
[0008] Preferably, the initial walking path corresponding to the target user in the virtual environment and the corresponding environmental data around the target user are optimized, and a virtual walking path corresponding to the target user is constructed based on the optimization result, specifically including: The environment sensing module monitors the environment data around the target user in real time, extracts light intensity data, sound data and temperature data corresponding to different areas in the virtual environment from the environment data, and stores the light intensity data, sound data and temperature data corresponding to different areas in the virtual environment in a preset environment data set; Divide the initial walking path corresponding to the target user in the virtual environment into multiple sub-walking paths according to a preset method, wherein each sub-walking path corresponds to each area in the virtual environment one by one; Mapping the environmental data set to each sub-walking path of the initial walking path, and confirming the path score corresponding to each sub-walking path according to the environmental data corresponding to each sub-walking path; Construct a path scoring model for the sub-walk paths:
[0009] The path score corresponding to each sub-walking path is determined by the above calculation formula, where: They are respectively represented by the light intensity score, sound score, and temperature score corresponding to the sub-walking path, Respectively represented as preset weight coefficients; The environmental data corresponding to each sub-walking path is input into the path score model of the sub-walking path, and then the path score corresponding to each sub-walking path is confirmed.
[0010] Preferably, the initial walking path is optimized according to the initial walking path corresponding to the target user in the virtual environment and the environmental data corresponding to the surroundings of the target user, and a virtual walking path corresponding to the target user is constructed based on the optimization result, which specifically includes: According to the path score corresponding to each sub-walking path and the preset path optimization algorithm, the walking path is dynamically optimized in real time; The optimized walking path is smoothed using a Bezier curve and visualized in a virtual environment. The target user confirms the optimized walking path through a two-finger click operation, and the walking path is set as a virtual walking path corresponding to the target user.
[0011] Preferably, based on the virtual walking path corresponding to the target user, predicting the behavior intention of the target user in the virtual environment, and dynamically adjusting the virtual walking data corresponding to the target user based on the behavior intention, specifically includes: When the target user walks along the virtual walking path, the interaction data corresponding to the target user is collected in real time, wherein the interaction data includes two-finger sliding speed, two-finger pinching frequency and dwell time; Use a preset machine learning model to analyze and process the interaction data corresponding to the target user, and then predict the behavior intention data corresponding to the target user, wherein the behavior intention data includes fast walking, slow walking, and stopping to observe; Based on the predicted target user behavior intention data, the virtual walking data corresponding to the target user is dynamically adjusted, and the virtual walking data includes a walking speed and a walking direction.
[0012] Preferably, it also includes a physiological indicator monitoring and analysis module, which is used to collect and monitor the physiological indicator data corresponding to the target user when the target user is in a virtual environment, and compare the physiological indicator data corresponding to the target user with the standard physiological indicator data stored in the cloud database, and output a warning signal based on the comparison result.
[0013] In a second aspect, the present application provides a VR-based virtual simulation operation method, comprising the following steps: Capturing the two-finger operation corresponding to the target user, and generating the initial walking path corresponding to the target user in the virtual environment based on the two-finger operation; When the target user moves along the initial walking path in the virtual environment, the corresponding environmental data around the target user is monitored in real time through the preset sensor device; Optimizing the initial walking path according to the initial walking path corresponding to the target user in the virtual environment and the environmental data corresponding to the surroundings of the target user, and constructing a virtual walking path corresponding to the target user based on the optimization result; Based on the virtual walking path corresponding to the target user, predict the behavior intention of the target user in the virtual environment, and dynamically adjust the virtual walking data corresponding to the target user based on the behavior intention; Provides real-time feedback in a virtual environment to target users.
[0014] In a third aspect, the present application provides a computer-readable storage medium storing instructions, which, when executed on a computer, enables the computer to execute any one of the VR-based virtual simulation operating systems described above.
[0015] In summary, the present application includes at least one of the following beneficial technical effects: 1. The present application provides a virtual simulation operating system based on VR, which generates an initial walking path corresponding to the target user in a virtual environment by capturing the double-finger operation corresponding to the target user, and can monitor the corresponding environmental data around the target user in real time, and optimize the initial walking path based on the initial walking path corresponding to the target user in the virtual environment and the corresponding environmental data around the target user, and construct a virtual walking path corresponding to the target user based on the optimization result, thereby effectively improving the immersion and comfort of the target user in the virtual environment; 2. By predicting the target user's behavioral intention in the virtual environment and dynamically adjusting the target user's corresponding virtual walking data based on the behavioral intention, the accuracy of the target user's behavioral intention prediction can be effectively enhanced, and the immersiveness and personalized experience of the virtual environment can be improved, thereby effectively improving the target user's safety and comfort. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.
[0017] Figure 1 It is a system schematic diagram of a virtual simulation operation based on VR according to an embodiment of the present application.
[0018] Figure 2 It is a flow chart of the method of virtual simulation operation based on VR in an embodiment of the present application. DETAILED DESCRIPTION
[0019] The following is combined with Figure 1-2 This application is described in further detail.
[0020] Example 1 The embodiment of the present application discloses a virtual simulation operating system based on VR.
[0021] Reference Figure 1 , a virtual simulation operating system based on VR, comprising: An operation capture module, used to connect to the panoramic display device, capture the two-finger operation corresponding to the target user, and generate an initial walking path corresponding to the target user in the virtual environment based on the two-finger operation; The environment perception module is used to monitor the corresponding environment data around the target user in real time through a preset sensor device when the target user moves along the initial walking path in the virtual environment; Further, in the embodiment of the present application, the preset sensing device includes but is not limited to a light sensor, a sound sensor and a temperature sensor, and the above sensors monitor the light intensity data, sound data and temperature data in the virtual environment in real time; A path optimization module, used to optimize the initial walking path corresponding to the target user in the virtual environment and the corresponding environmental data around the target user, and construct a virtual walking path corresponding to the target user based on the optimization result; A behavior analysis module, used to predict the behavior intention of the target user in the virtual environment based on the virtual walking path corresponding to the target user, and dynamically adjust the virtual walking data corresponding to the target user based on the behavior intention; The feedback module is used to provide real-time feedback in the virtual environment to the target user.
[0022] Furthermore, the two-finger operation corresponding to the target user includes a sliding operation, a pinching operation, a rotating operation and a clicking operation; and the environmental data corresponding to the surroundings of the target user includes light intensity data, sound data and temperature data.
[0023] It should be noted that the initial walking path corresponding to the target user in the virtual environment is generated based on the two-finger operation, specifically including: The target user selects a node in the virtual environment by double-finger clicking to set it as the starting point of the walking path, and records the spatial coordinates corresponding to the starting point of the walking path as the starting position; The target user draws a path in the virtual environment by sliding with two fingers, and disconnects the touch at the end point, and records the spatial coordinates corresponding to the end point as the starting point of the initial walking path, and the spatial coordinates corresponding to the starting point of the walking path as the target position; The starting position and the target position are used to generate an initial walking path corresponding to the target user in the virtual environment according to a preset production rule.
[0024] It should be noted that the initial walking path corresponding to the target user in the virtual environment and the corresponding environmental data around the target user are optimized, and a virtual walking path corresponding to the target user is constructed based on the optimization result, which specifically includes: The environment sensing module monitors the environment data around the target user in real time, extracts light intensity data, sound data and temperature data corresponding to different areas in the virtual environment from the environment data, and stores the light intensity data, sound data and temperature data corresponding to different areas in the virtual environment in a preset environment data set; Divide the initial walking path corresponding to the target user in the virtual environment into multiple sub-walking paths according to a preset method, wherein each sub-walking path corresponds to each area in the virtual environment one by one; Mapping the environmental data set to each sub-walking path of the initial walking path, and confirming the path score corresponding to each sub-walking path according to the environmental data corresponding to each sub-walking path; Specifically, the environment data set is mapped to each sub-walking path of the initial walking path as follows: Sub-walking path A: low light intensity, high sound level, moderate temperature; Sub-walking path B: higher light intensity, lower sound level, and higher temperature.
[0025] According to the environmental data corresponding to each sub-walking path, it is confirmed that the path score corresponding to each sub-walking path is low in light intensity, high in sound level, and high in temperature, and low in light intensity, low in sound level, and moderate in temperature; and high in light intensity, low in sound level, and moderate in temperature. Construct a path scoring model for the sub-walk paths:
[0026] The path score corresponding to each sub-walking path is determined by the above calculation formula, where: They are respectively represented by the light intensity score, sound score, and temperature score corresponding to the sub-walking path, Respectively represented as preset weight coefficients; The environmental data corresponding to each sub-walking path is input into the path score model of the sub-walking path, and then the path score corresponding to each sub-walking path is confirmed.
[0027] Specifically, in the embodiment of the present application, the light intensity score corresponding to the sub-walking path can be obtained by the following formula: ,in, Represents the light intensity corresponding to the current sub-walking path, They are respectively represented as the maximum light intensity and the minimum light intensity in the virtual environment; Sound score corresponding to the sub-walking path ,in, Represents the sound data corresponding to the current sub-walking path, They are respectively represented as the maximum sound data and the minimum sound data in the virtual environment; Temperature score corresponding to the sub-walk path ,in, Represents the temperature data corresponding to the current sub-walking path, Represents the ideal temperature data corresponding to the target user, They are respectively represented as the maximum temperature data and the minimum temperature data in the virtual environment.
[0028] Further, the initial walking path is optimized according to the initial walking path corresponding to the target user in the virtual environment and the environmental data corresponding to the surroundings of the target user, and a virtual walking path corresponding to the target user is constructed based on the optimization result, which specifically includes: According to the path score corresponding to each sub-walking path and the preset path optimization algorithm, the walking path is dynamically optimized in real time; Specifically, the preset path optimization algorithm includes but is not limited to an A* algorithm, a genetic algorithm, and a dynamic programming algorithm, wherein the A* algorithm is configured to find the shortest path while avoiding low-scoring sub-walking paths, the genetic algorithm is used to find the optimal path in multi-objective optimization, and the dynamic programming is used to gradually optimize the path in a complex environment. In the embodiment of the present application, if the path score corresponding to a sub-walking path is low, the walk path is automatically adjusted to avoid the area corresponding to the sub-walking path; if the path score corresponding to a sub-walking path is high, the sub-walking path is retained; The optimized walking path is smoothed using a Bezier curve and visualized in a virtual environment. The target user confirms the optimized walking path through a two-finger click operation, and the walking path is set as a virtual walking path corresponding to the target user.
[0029] Specifically, after confirming the virtual walking path corresponding to the target user, the environmental data corresponding to the virtual walking path is compared with the environmental data set to ensure that the optimized path avoids the low-scoring area; It also includes path feasibility verification, which checks whether the optimized path is feasible in the virtual environment and avoids the path passing through obstacles or unsuitable areas.
[0030] Furthermore, through panoramic display devices, headphones and somatosensory devices, real-time feedback of light effects, sound effects and temperature changes in the virtual environment is provided to the target users to enhance the sense of immersion.
[0031] It should be noted that, based on the virtual walking path corresponding to the target user, predicting the behavior intention of the target user in the virtual environment, and dynamically adjusting the virtual walking data corresponding to the target user based on the behavior intention, specifically includes: When the target user walks along the virtual walking path, the interaction data corresponding to the target user is collected in real time, wherein the interaction data includes two-finger sliding speed, two-finger pinching frequency and dwell time; Specifically, in the embodiment of the present application, the two-finger sliding speed reflects the walking intention of the target user, the two-finger pinching frequency reflects the selection intention of the target user, and the dwelling time reflects the interest degree of the target user in a certain area; Use a preset machine learning model to analyze and process the interaction data corresponding to the target user, and then predict the behavior intention data corresponding to the target user, wherein the behavior intention data includes fast walking, slow walking, and stopping to observe; Based on the predicted target user behavior intention data, the virtual walking data corresponding to the target user is dynamically adjusted, and the virtual walking data includes a walking speed and a walking direction.
[0032] Specifically, the preset machine learning models include but are not limited to decision trees, support vector machines or neural networks. If the target user intends to walk quickly, the path will be optimized to be the shortest and avoid obstacles, and the walking speed will be increased; if the target user intends to walk slowly, the path will be optimized to pass through areas with bright light and quiet environment; if the target user intends to stop and observe, the path will be adjusted to make it stay near the area of interest.
[0033] Furthermore, if the target user intends to walk slowly, the lighting and sound effects in the virtual environment will be increased to enhance the immersion; If the target user intends to walk quickly, the lighting and sound effects in the virtual environment will be reduced to improve walking efficiency.
[0034] Furthermore, it also includes a physiological indicator monitoring and analysis module, which is used to collect and monitor the physiological indicator data corresponding to the target user when the target user is in a virtual environment, and compare the physiological indicator data corresponding to the target user with the standard physiological indicator data stored in the cloud database, and output a warning signal based on the comparison result.
[0035] Furthermore, the benefits of setting up the physiological indicator monitoring and analysis module include enhancing the accuracy of predicting the user's behavioral intentions. By monitoring the user's heart rate, breathing rate, skin conductance and other physiological indicators, the user's emotional state (such as tension, relaxation, excitement, etc.) can be more accurately judged; Behavioral intention analysis: Combining physiological data and behavioral data can more accurately predict the user's behavioral intention; for example: If the target user's heart rate increases and his breathing becomes rapid, it can be determined that the target user may be in a state of tension and he may want to leave the current area quickly; If the target user has a stable heart rate and slow breathing, it can be judged that the target user is likely to be in a relaxed state, and it can be inferred that the target user wants to walk slowly or stay and observe; Improve immersion and personalization of virtual environments Dynamic environment adjustment: According to the physiological state of the target user, the lighting effects, sound effects and temperature simulation in the virtual environment can be dynamically adjusted to meet the real-time needs of the target user. For example: If the target user is in a state of tension, the noise level in the virtual environment can be reduced and soft background music can be provided to help the user relax; If the target user is in an excited state, the lighting and sound effects in the virtual environment can be increased to enhance the user's sense of immersion; Improve user safety and comfort Health status monitoring: By monitoring the physiological indicators of target users in real time, abnormal health conditions of target users (such as high heart rate, abnormal breathing, etc.) can be detected in time and corresponding measures can be taken. For example: If the target user's heart rate is too high, the virtual walk can be automatically paused and the user can be prompted to take a break.
[0036] If the target user has abnormal breathing, the oxygen concentration simulation in the virtual environment can be adjusted to help the target user restore normal breathing; Comfort optimization: According to the physiological state of the target user, the pace and direction of the virtual walk can be dynamically adjusted to ensure the comfort of the target user in the virtual environment. For example: If the target user is fatigued, the pace of the virtual walk can be slowed down and rest areas can be provided; If your target audience is in an excited state, you can speed up the pace of the virtual walk and provide more interactive elements.
[0037] Example 2 The embodiment of the present application also discloses a virtual simulation operation method based on VR.
[0038] Reference Figure 2 , a virtual simulation operation method based on VR, comprising the following steps: Capturing the two-finger operation corresponding to the target user, and generating the initial walking path corresponding to the target user in the virtual environment based on the two-finger operation; When the target user moves along the initial walking path in the virtual environment, the corresponding environmental data around the target user is monitored in real time through the preset sensor device; Optimizing the initial walking path according to the initial walking path corresponding to the target user in the virtual environment and the environmental data corresponding to the surroundings of the target user, and constructing a virtual walking path corresponding to the target user based on the optimization result; Based on the virtual walking path corresponding to the target user, predict the behavior intention of the target user in the virtual environment, and dynamically adjust the virtual walking data corresponding to the target user based on the behavior intention; Provides real-time feedback in a virtual environment to target users.
[0039] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention, they should all fall within the protection scope of the present invention.
[0040] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. 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 representation of the above terms does 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.
[0041] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well.
Claims
1. A virtual simulation operating system based on VR, characterized in that: include: An operation capture module, used to connect to the panoramic display device, capture the two-finger operation corresponding to the target user, and generate an initial walking path corresponding to the target user in the virtual environment based on the two-finger operation; The environment perception module is used to monitor the corresponding environment data around the target user in real time through a preset sensor device when the target user moves along the initial walking path in the virtual environment; A path optimization module, used to optimize the initial walking path corresponding to the target user in the virtual environment and the corresponding environmental data around the target user, and construct a virtual walking path corresponding to the target user based on the optimization result; A behavior analysis module, used to predict the behavior intention of the target user in the virtual environment based on the virtual walking path corresponding to the target user, and dynamically adjust the virtual walking data corresponding to the target user based on the behavior intention; The feedback module is used to provide real-time feedback in the virtual environment to the target user.
2. A virtual simulation operating system based on VR according to claim 1, characterized in that: The two-finger operation corresponding to the target user includes a sliding operation, a pinching operation, a rotating operation and a clicking operation; the environmental data corresponding to the surroundings of the target user includes light intensity data, sound data and temperature data.
3. A virtual simulation operating system based on VR according to claim 2, characterized in that: Generate the initial walking path of the target user in the virtual environment based on the two-finger operation, including: The target user selects a node in the virtual environment by double-finger clicking to set it as the starting point of the walking path, and records the spatial coordinates corresponding to the starting point of the walking path as the starting position; The target user draws a path in the virtual environment by sliding with two fingers, and disconnects the touch at the end point, and records the spatial coordinates corresponding to the end point as the starting point of the initial walking path, and the spatial coordinates corresponding to the starting point of the walking path as the target position; The starting position and the target position are used to generate an initial walking path corresponding to the target user in the virtual environment according to a preset production rule.
4. A virtual simulation operating system based on VR according to claim 3, characterized in that: Optimizing the initial walking path according to the initial walking path corresponding to the target user in the virtual environment and the environment data corresponding to the surroundings of the target user, and constructing a virtual walking path corresponding to the target user based on the optimization result, specifically including: The environment sensing module monitors the environment data around the target user in real time, extracts light intensity data, sound data and temperature data corresponding to different areas in the virtual environment from the environment data, and stores the light intensity data, sound data and temperature data corresponding to different areas in the virtual environment in a preset environment data set; Divide the initial walking path corresponding to the target user in the virtual environment into multiple sub-walking paths according to a preset method, wherein each sub-walking path corresponds to each area in the virtual environment one by one; Mapping the environmental data set to each sub-walking path of the initial walking path, and confirming the path score corresponding to each sub-walking path according to the environmental data corresponding to each sub-walking path; Construct a path scoring model for the sub-walk paths: The path score corresponding to each sub-walking path is determined by the above calculation formula, where: They are respectively represented by the light intensity score, sound score, and temperature score corresponding to the sub-walking path, Respectively represented as preset weight coefficients; The environmental data corresponding to each sub-walking path is input into the path score model of the sub-walking path, and then the path score corresponding to each sub-walking path is confirmed.
5. A virtual simulation operating system based on VR according to claim 4, characterized in that: The initial walking path is optimized according to the initial walking path corresponding to the target user in the virtual environment and the environmental data corresponding to the surroundings of the target user, and a virtual walking path corresponding to the target user is constructed based on the optimization result, which specifically includes: According to the path score corresponding to each sub-walking path and the preset path optimization algorithm, the walking path is dynamically optimized in real time; The optimized walking path is smoothed using a Bezier curve and visualized in a virtual environment. The target user confirms the optimized walking path through a two-finger click operation, and the walking path is set as a virtual walking path corresponding to the target user.
6. A virtual simulation operating system based on VR according to claim 5, characterized in that: Based on the virtual walking path corresponding to the target user, predict the behavior intention of the target user in the virtual environment, and dynamically adjust the virtual walking data corresponding to the target user based on the behavior intention, specifically including: When the target user walks along the virtual walking path, the interaction data corresponding to the target user is collected in real time, wherein the interaction data includes two-finger sliding speed, two-finger pinching frequency and dwell time; Use a preset machine learning model to analyze and process the interaction data corresponding to the target user, and then predict the behavior intention data corresponding to the target user, wherein the behavior intention data includes fast walking, slow walking, and stopping to observe; Based on the predicted target user behavior intention data, the virtual walking data corresponding to the target user is dynamically adjusted, and the virtual walking data includes a walking speed and a walking direction.
7. The VR-based virtual simulation operating system according to claim 1, characterized in that: It also includes a physiological indicator monitoring and analysis module, which is used to collect and monitor the physiological indicator data corresponding to the target user when the target user is in a virtual environment, and compare the physiological indicator data corresponding to the target user with the standard physiological indicator data stored in the cloud database, and output a warning signal based on the comparison result.
8. A virtual simulation operation method based on VR, applied to a virtual simulation operation system based on VR as described in any one of claims 1 to 7, characterized in that: The following steps are involved: Capturing the two-finger operation corresponding to the target user, and generating the initial walking path corresponding to the target user in the virtual environment based on the two-finger operation; When the target user moves along the initial walking path in the virtual environment, the corresponding environmental data around the target user is monitored in real time through the preset sensor device; Optimizing the initial walking path according to the initial walking path corresponding to the target user in the virtual environment and the environmental data corresponding to the surroundings of the target user, and constructing a virtual walking path corresponding to the target user based on the optimization result; Based on the virtual walking path corresponding to the target user, predict the behavior intention of the target user in the virtual environment, and dynamically adjust the virtual walking data corresponding to the target user based on the behavior intention; Provides real-time feedback in a virtual environment to target users.
9. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer executes a VR-based virtual simulation operating system as described in any one of claims 1 to 7.