CN110825236A - Display system based on intelligent VR speech control - Google Patents

Display system based on intelligent VR speech control Download PDF

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CN110825236A
CN110825236A CN201911146465.7A CN201911146465A CN110825236A CN 110825236 A CN110825236 A CN 110825236A CN 201911146465 A CN201911146465 A CN 201911146465A CN 110825236 A CN110825236 A CN 110825236A
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cockpit
simulation
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CN110825236B (en
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明珍秀
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Jiangxi Qiansheng Film And Television Culture Media Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality

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Abstract

The invention provides a display system based on intelligent VR voice control, which is characterized by comprising a background general control center, an initialization module, a human-computer interaction simulation platform, a voice interaction module, a dynamic adjustment module, a parameter storage module, an identity input module, an offline control platform, a data coding module and an initialization optimization module. The virtual reality technology is adopted to simulate the driving process in advance, automatically adjust driving habit parameters, save time, enhance use viscosity and improve driving safety.

Description

Display system based on intelligent VR speech control
Technical Field
The invention belongs to the technical field of virtual reality, and particularly relates to a display system based on intelligent VR voice control.
Background
In recent years, shared automobiles gradually come into the visual field of people, the shared automobiles can save money, help to relieve traffic jam and highway abrasion, reduce air pollution and reduce dependence on energy, and have wide development prospect.
Different drivers have different driving habits, and in the using process, after each driver enters the automobile, parameters such as the position of the seat, the angle of the rearview mirror and the like need to be adjusted again; because the vehicle cannot be automatically adjusted, a driver needs to manually adjust the vehicle to match the driving habit of the driver, the whole process takes the time of the driver, and the emotion of the user is influenced to a certain extent; in addition, sometimes a newly-loaded driver forgets to adjust parameters such as the position of the seat and the angle of the rearview mirror, which affects the driving comfort and causes potential safety hazards.
Usually, when a driver adjusts driving habit parameters, the driver sits on a driver seat before driving to adjust the driving habit parameters, the driver is in a static state, and the setting of the parameters may be different from that in the actual operation process; or in the actual driving process, the vehicle can automatically acquire the height, the weight and other parameters of the driver, calculate the most comfortable driving parameters and automatically adjust the driving parameters, but the vehicle runs in the whole adjusting process, so that potential safety hazards are inevitably caused.
Virtual Reality (VR) technology is an important direction of simulation technology, is a collection of simulation technology and multiple technologies such as computer graphics, human-computer interface technology, multimedia technology, sensing technology, network technology, and the like, is a challenging cross-technology frontier subject and research field, and mainly includes aspects such as simulation environment, perception, natural skills, sensing equipment, and the like. The virtual reality technology is used in the field of vehicles and is mainly used for simulating an actual driving process and improving the proficiency of a driver, and how to adopt the technology to adjust the driving parameters of the driver is not mentioned in the prior art.
Disclosure of Invention
In order to solve the problems, the invention provides a display system based on intelligent VR voice control, which is characterized by comprising a background general control center, an initialization module, a human-computer interaction simulation platform, a voice interaction module, a dynamic adjustment module, a parameter storage module, an identity input module, an offline control platform, a data coding module and an initialization optimization module;
the human-computer interaction simulation platform comprises: the system comprises a simulation cockpit, a simulation cockpit control module and a virtual scene display module, wherein the simulation cockpit comprises a seat, a steering wheel, a rearview mirror, a gear operating rod, a brake, an accelerator and a clutch, a user inputs the login information of a simulation platform, logs in the human-computer interaction simulation platform and enters the simulation cockpit, the background master control center starts an initialization module, and the initialization module drives the simulation cockpit control module to adjust each component of the simulation cockpit to an initial position; after a user enters the simulated cockpit, the virtual scene display module displays a virtual traffic scene, the user adjusts the positions of all parts of the simulated cockpit to be suitable for driving in a voice interaction mode in the virtual dynamic driving process based on the virtual traffic scene, and identity recognition information for logging in an offline control platform is recorded through the identity recording module;
the parameter storage module stores position parameter information and identity recognition information of each part of the simulated cockpit, and sends the stored information to the background general control center, and the background general control center matches the position parameter information and the identity recognition information and sends the matched data to the data coding module and the offline control platform;
when the number of the users who input the login information of the simulation platform reaches the measured number, the data coding module analyzes the matched data and sends the analyzed result to the initialization optimization module, and the initialization optimization module optimizes the initial position driven by the initialization module based on the data analysis result;
the offline control platform comprises an actual cockpit, an identity recognition module and an offline adjustment module, a user is matched with the entered identity recognition information through the identity recognition module offline, and after the offline control platform receives the information of successful matching, the offline control platform drives the offline adjustment module to adjust the position of each component of the actual cockpit to a proper driving position according to the position parameter information of each component of the simulated cockpit matched with the identity recognition information.
Preferably, the data coding module performs data analysis on the matched data, the data analysis process includes extracting simulation platform login information of a user and position parameter information of each part of the simulation cockpit suitable for driving, classifying the simulation platform login information of the user, analyzing position parameters of each part of the simulation cockpit suitable for driving under each classification, sending an analysis result to the initialization optimization module, enabling the user to log in the human-computer interaction simulation platform and enter the simulation cockpit, the initialization optimization module extracts the simulation platform login information of the user, matches the position parameters of each part of the simulation cockpit suitable for driving according to the corresponding simulation platform login information in a classification mode, and sends the position parameters to the initialization module to adjust an initialization position.
Preferably, the simulation platform login information of the user comprises a login key, identity parameters of the user, sex, height, age and weight of the user.
Preferably, the adjusting of the positions of the components of the simulated cockpit to the suitable driving positions in the voice interaction mode is performed by inputting a voice instruction to the voice interaction module by a user, the voice interaction module analyzes the voice instruction, and the dynamic adjustment module adjusts the positions of the components of the simulated cockpit according to an analysis result.
Preferably, the voice command is a seat front-back position adjustment command, a seat back inclination angle adjustment command, a steering wheel height adjustment command, and a rearview mirror angle adjustment command.
Preferably, the position parameter information of each part suitable for driving of the simulated cockpit comprises a seat front-back position parameter, a seat backrest inclination angle parameter, a steering wheel height parameter and a rearview mirror angle parameter.
Preferably, the identification information is fingerprint information, voiceprint information, iris information or a security key.
The invention has the following beneficial effects:
1. the virtual reality technology is adopted to simulate the driving process in advance, assist a driver to adjust driving habit parameters, store driving habit parameter data matched with personnel information, and when a user actually drives, the vehicle automatically adjusts the driving habit parameters by acquiring background data through a login system, so that the time is saved, the use viscosity is enhanced, and the driving safety is improved.
2. The driving habit parameters are adjusted in the simulated driving process, compared with static adjustment, the driving habit parameters are closer to the actual driving situation, and the setting of the driving habit parameters can make the user more comfortable.
3. The driver interacts with the virtual reality platform through voice, so that the operation is simple and the experience is enhanced.
4. In the process of analog adjustment, the adjustment initialization position is matched according to the login information of the analog platform of the user, so that the large-range adjustment of the user can be avoided, and the efficiency is improved.
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In order to more clearly illustrate the technical solution of the present invention, the drawings needed for the description of the embodiment or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a flow chart of a display system based on intelligent VR voice control in accordance with the present invention.
Detailed Description
The present invention is further described in detail below with reference to fig. 1 so that those skilled in the art can implement the invention with reference to the description.
The first embodiment is as follows:
referring to the attached figure 1, the invention provides a display system based on intelligent VR voice control, which is characterized by comprising a background general control center, an initialization module, a human-computer interaction simulation platform, a voice interaction module, a dynamic adjustment module, a parameter storage module, an identity input module, an offline control platform, a data coding module and an initialization optimization module;
the human-computer interaction simulation platform comprises: the system comprises a simulation cockpit, a simulation cockpit control module and a virtual scene display module, wherein the simulation cockpit comprises a seat, a steering wheel, a rearview mirror, a gear operating rod, a brake, an accelerator and a clutch, a user inputs the login information of a simulation platform, logs in the human-computer interaction simulation platform and enters the simulation cockpit, the background master control center starts an initialization module, and the initialization module drives the simulation cockpit control module to adjust each component of the simulation cockpit to an initial position; after a user enters the simulated cockpit, the virtual scene display module displays a virtual traffic scene, the user adjusts the positions of all parts of the simulated cockpit to be suitable for driving in a voice interaction mode based on the virtual traffic scene in the virtual dynamic driving process, and identity recognition information is input through the identity input module;
the parameter storage module stores position parameter information and identity recognition information of each part of the simulated cockpit, and sends the stored information to the background general control center, and the background general control center matches the position parameter information and the identity recognition information and sends the matched data to the data coding module and the offline control platform;
when the number of the users who input the login information of the simulation platform reaches the measured number, the data coding module analyzes the matched data and sends the analyzed result to the initialization optimization module, and the initialization optimization module optimizes the initial position driven by the initialization module based on the data analysis result;
the offline control platform comprises an actual cockpit, an identity recognition module and an offline adjustment module, a user is matched with the entered identity recognition information through the identity recognition module offline, and after the offline control platform receives the information of successful matching, the offline control platform drives the offline adjustment module to adjust the position of each component of the actual cockpit to a proper driving position according to the position parameter information of each component of the simulated cockpit matched with the identity recognition information.
Example two:
the invention provides a display system based on intelligent VR voice control, which comprises a background general control center, an initialization module, a human-computer interaction simulation platform, a voice interaction module, a dynamic adjustment module, a parameter storage module, an identity input module, an offline control platform, a data coding module and an initialization optimization module, wherein the initialization module is used for storing parameters of a user;
the human-computer interaction simulation platform comprises: the system comprises a simulation cockpit, a simulation cockpit control module and a virtual scene display module, wherein the simulation cockpit comprises a seat, a steering wheel, a rearview mirror, a gear operating rod, a brake, an accelerator and a clutch, a user inputs the login information of a simulation platform, logs in the human-computer interaction simulation platform and enters the simulation cockpit, the background master control center starts an initialization module, and the initialization module drives the simulation cockpit control module to adjust each component of the simulation cockpit to an initial position; after a user enters the simulated cockpit, the virtual scene display module displays a virtual traffic scene, the user adjusts the positions of all parts of the simulated cockpit to be suitable for driving in a voice interaction mode based on the virtual traffic scene in the virtual dynamic driving process, and identity recognition information is input through the identity input module;
the parameter storage module stores position parameter information and identity recognition information of each part of the simulated cockpit, and sends the stored information to the background general control center, and the background general control center matches the position parameter information and the identity recognition information and sends the matched data to the data coding module and the offline control platform;
when the number of the users who input the login information of the simulation platform reaches the measured number, the data coding module analyzes the matched data and sends the analyzed result to the initialization optimization module, and the initialization optimization module optimizes the initial position driven by the initialization module based on the data analysis result; the measured quantity is the quantity of big data analysis samples, and can be specifically selected to be 500 persons, 800 persons or more.
The offline control platform comprises an actual cockpit, an identity recognition module and an offline adjustment module, a user is matched with the entered identity recognition information through the identity recognition module offline, and after the offline control platform receives the information of successful matching, the offline control platform drives the offline adjustment module to adjust the position of each component of the actual cockpit to a proper driving position according to the position parameter information of each component of the simulated cockpit matched with the identity recognition information.
Preferably, the data coding module performs data analysis on the matched data, the data analysis process includes extracting simulation platform login information of a user and position parameter information of each part of the simulation cockpit suitable for driving, classifying the simulation platform login information of the user, analyzing position parameters of each part of the simulation cockpit suitable for driving under each classification, sending an analysis result to the initialization optimization module, enabling the user to log in the human-computer interaction simulation platform and enter the simulation cockpit, the initialization optimization module extracts the simulation platform login information of the user, matches the position parameters of each part of the simulation cockpit suitable for driving according to the corresponding simulation platform login information in a classification mode, and sends the position parameters to the initialization module to adjust an initialization position.
The simulation platform login information of the user comprises a login key, the sex, the height, the age and the weight of the user, and in addition, the simulation platform login information can be changed when the user changes according to the self condition. For example, as time goes on, age increases, and height and weight also change.
To ensure driving safety, the step of the user inputting the login information of the simulation platform further comprises checking the age of the user, and when the age of the user is less than 18 years old or more than 70 years old, the system stops opening the user.
The step of inputting the login information of the simulation platform by the user further comprises an information checking step, wherein the driving certificate of the user is checked through an internet system, and the system stops opening the user for personnel without the driving certificate or the driving certificate is overdue, detained and cancelled.
The most original initial position is measured by ergonomics, for example, the most comfortable sitting posture is determined by the height of a human body, and the proper height of the seat is set to ensure good vision; people of different ages and weights have different inclination settings of the backrest, young people prefer to set a larger backrest angle more randomly, the sitting is more comfortable, old people prefer to have the backrest vertical, and the correct sitting posture is easier to ensure that the attention is focused; the female driver is less powerful than the male driver and generally needs to be closer to the steering wheel, which may be easier to operate.
When the user who inputs the login information of the simulation platform reaches the measured quantity, the initialized position is not measured and calculated by human engineering, statistics and optimization are carried out through big data analysis, namely the relation between the login information of the simulation platform and the driving habit parameters can be obtained through the sample data of the user.
Example three:
the invention provides a display system based on intelligent VR voice control, which comprises a background general control center, an initialization module, a human-computer interaction simulation platform, a voice interaction module, a dynamic adjustment module, a parameter storage module, an identity input module, an offline control platform, a data coding module and an initialization optimization module, wherein the initialization module is used for storing parameters of a user;
the human-computer interaction simulation platform comprises: the system comprises a simulation cockpit, a simulation cockpit control module and a virtual scene display module, wherein the simulation cockpit comprises a seat, a steering wheel, a rearview mirror, a gear operating rod, a brake, an accelerator and a clutch, a user inputs the login information of a simulation platform, logs in the human-computer interaction simulation platform and enters the simulation cockpit, the background master control center starts an initialization module, and the initialization module drives the simulation cockpit control module to adjust each component of the simulation cockpit to an initial position; after a user enters the simulated cockpit, the virtual scene display module displays a virtual traffic scene, the user adjusts the positions of all parts of the simulated cockpit to be suitable for driving in a voice interaction mode based on the virtual traffic scene in the virtual dynamic driving process, and identity recognition information is input through the identity input module;
the parameter storage module stores position parameter information and identity recognition information of each part of the simulated cockpit, and sends the stored information to the background general control center, and the background general control center matches the position parameter information and the identity recognition information and sends the matched data to the data coding module and the offline control platform;
when the number of the users who input the login information of the simulation platform reaches the measured number, the data coding module analyzes the matched data and sends the analyzed result to the initialization optimization module, and the initialization optimization module optimizes the initial position driven by the initialization module based on the data analysis result; the measured quantity is the quantity of big data analysis samples, and can be specifically selected to be 500 persons, 800 persons or more.
The offline control platform comprises an actual cockpit, an identity recognition module and an offline adjustment module, a user is matched with the entered identity recognition information through the identity recognition module offline, and after the offline control platform receives the information of successful matching, the offline control platform drives the offline adjustment module to adjust the position of each component of the actual cockpit to a proper driving position according to the position parameter information of each component of the simulated cockpit matched with the identity recognition information.
Preferably, the data coding module performs data analysis on the matched data, the data analysis process includes extracting simulation platform login information of a user and position parameter information of each part of the simulation cockpit suitable for driving, classifying the simulation platform login information of the user, analyzing position parameters of each part of the simulation cockpit suitable for driving under each classification, sending an analysis result to the initialization optimization module, enabling the user to log in the human-computer interaction simulation platform and enter the simulation cockpit, the initialization optimization module extracts the simulation platform login information of the user, matches the position parameters of each part of the simulation cockpit suitable for driving according to the corresponding simulation platform login information in a classification mode, and sends the position parameters to the initialization module to adjust an initialization position.
The simulation platform login information of the user comprises a login key, the sex, the height, the age and the weight of the user, and the user can change the simulation platform login information according to the personal actual condition. For example, parameters such as age, height, weight, etc. are changed over time.
In order to guarantee driving safety, the step of inputting the login information of the simulation platform by the user further comprises user identity verification, the verification objects comprise ages and certificate validity, and when the ages of the users are less than 18 years or more than 70 years, the system stops opening the users; the certificate validity is that the driving certificate of the user is checked through an internet system, and the system stops opening the user for persons without driving certificates or persons with overdue driving certificates, withholding and revoking.
The most original initial position is measured by ergonomics, for example, the most comfortable sitting posture is determined by the height of a human body, and the proper height of the seat is set to ensure good vision; people of different ages and weights have different inclination settings of the backrest, young people prefer to set a larger backrest angle more randomly, the sitting is more comfortable, old people prefer to have the backrest vertical, and the correct sitting posture is easier to ensure that the attention is focused; the female driver is less powerful than the male driver and generally needs to be closer to the steering wheel, which may be easier to operate.
When the user who inputs the login information of the simulation platform reaches the measured quantity, the initialized position is not measured and calculated by human engineering, statistics and optimization are carried out through big data analysis, namely the relation between the login information of the simulation platform and the driving habit parameters can be obtained through the sample data of the user.
The method comprises the steps that positions of all parts of the simulated cockpit are adjusted to be suitable for driving positions in a voice interaction mode, a voice instruction is input into the voice interaction module by a user, the voice interaction module analyzes the voice instruction, and the dynamic adjustment module adjusts the positions of all parts of the simulated cockpit according to an analysis result.
The voice command is a seat front-back position adjusting command, a seat backrest inclination angle adjusting command, a steering wheel height adjusting command and a rearview mirror angle adjusting command.
When the system detects that dangerous driving habits exist in the process of driving simulation of the user, such as sudden braking, no safety belt fastening, lane changing without turning on a turn signal lamp, exceeding road speed limit and the like, the system carries out voice prompt to inform the user of dangerous driving behaviors and prompt the user to change, and if the dangerous driving habits still exist for a long time, the system stops opening the user.
The position parameter information of each part suitable for driving of the simulated cockpit comprises a seat front and rear position parameter, a seat backrest inclination angle parameter, a steering wheel height parameter and a rearview mirror angle parameter.
The identity identification information is fingerprint information, voiceprint information and iris information, if the fingerprint information, the voiceprint information and the iris information are unsuccessfully matched, the identity identification can be carried out by adopting a safety secret key, and if the safety secret key is unsuccessfully matched, a contact background can be selected for identity authentication.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (7)

1. A display system based on intelligent VR voice control is characterized by comprising a background general control center, an initialization module, a human-computer interaction simulation platform, a voice interaction module, a dynamic adjustment module, a parameter storage module, an identity input module, an offline control platform, a data coding module and an initialization optimization module;
the human-computer interaction simulation platform comprises: the system comprises a simulation cockpit, a simulation cockpit control module and a virtual scene display module, wherein the simulation cockpit comprises a seat, a steering wheel, a rearview mirror, a gear operating rod, a brake, an accelerator and a clutch, a user inputs login information of a simulation platform, logs in a man-machine interaction simulation platform, and starts an initialization module before entering the simulation cockpit, and the initialization module drives the simulation cockpit control module to adjust each component of the simulation cockpit to an initial position; after a user enters the simulated cockpit, the virtual scene display module displays a virtual traffic scene, the user adjusts the positions of all parts of the simulated cockpit to be suitable for driving in a voice interaction mode in the virtual dynamic driving process based on the virtual traffic scene, and identity recognition information for logging in an offline control platform is recorded through the identity recording module;
the parameter storage module stores position parameter information and identity recognition information of each part of the simulated cockpit, and sends the stored information to the background general control center, and the background general control center matches the position parameter information and the identity recognition information and sends the matched data to the data coding module and the offline control platform;
when the number of the users who input the login information of the simulation platform reaches the measured number, the data coding module analyzes the matched data and sends the analyzed result to the initialization optimization module, and the initialization optimization module optimizes the initial position driven by the initialization module based on the data analysis result;
the offline control platform comprises an actual cockpit, an identity recognition module and an offline adjustment module, a user is matched with the entered identity recognition information through the identity recognition module offline, and after the offline control platform receives the information of successful matching, the offline control platform drives the offline adjustment module to adjust the position of each component of the actual cockpit to a proper driving position according to the position parameter information of each component of the simulated cockpit matched with the identity recognition information.
2. The intelligent VR voice-controlled based presentation system of claim 1, wherein: the data coding module carries out data analysis on the matched data, the data analysis process comprises the steps of extracting simulation platform login information of a user and position parameter information of each part suitable for driving of the simulation cockpit, classifying the simulation platform login information of the user, analyzing position parameters of each part suitable for driving of the simulation cockpit under each classification, sending an analysis result to the initialization optimization module, enabling the user to log in the human-computer interaction simulation platform and enter the simulation cockpit, extracting the simulation platform login information of the user by the initialization optimization module, classifying and matching the position parameters of each part suitable for driving of the simulation cockpit according to the corresponding simulation platform login information, and sending the position parameters to the initialization module for adjusting the initialization position.
3. The intelligent VR voice-controlled based presentation system of claim 1 or 2, wherein: the simulation platform login information of the user comprises a login key, user identity parameter information, the sex, the height, the age and the weight of the user.
4. The intelligent VR voice-controlled based presentation system of claim 1, wherein: the method comprises the steps that positions of all parts of the simulated cockpit are adjusted to be suitable for driving positions in a voice interaction mode, a voice instruction is input into the voice interaction module by a user, the voice interaction module analyzes the voice instruction, and the dynamic adjustment module adjusts the positions of all parts of the simulated cockpit according to an analysis result.
5. The intelligent VR voice-controlled based presentation system of claim 4, wherein: the voice command is a seat front-back position adjusting command, a seat backrest inclination angle adjusting command, a steering wheel height adjusting command and a rearview mirror angle adjusting command.
6. The intelligent VR voice-controlled based presentation system of claim 1 or 2, wherein: the position parameter information of each part which is most suitable for driving of the simulated cockpit comprises a seat front and rear position parameter, a seat backrest inclination angle parameter, a steering wheel height parameter and a rearview mirror angle parameter.
7. The intelligent VR voice-controlled based presentation system of claim 1, wherein: the identity identification information is fingerprint information, voiceprint information, iris information or a security key.
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