CN110969705B - Training system, method and medium for intelligent evaluation of pre-school mental reinforcement - Google Patents
Training system, method and medium for intelligent evaluation of pre-school mental reinforcement Download PDFInfo
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Abstract
The application discloses a training system for combining pre-school mental reinforcement with intelligent evaluation, which comprises a processor, wherein the processor comprises a virtual processing unit, an interaction unit and a main control unit; the virtual processing unit performs virtualization processing on the face image information of the user to obtain a virtual character image, and performs virtualization processing on the control auxiliary tool to obtain a virtual control auxiliary tool; the interaction unit performs man-machine interaction processing according to the pre-school training course, the teaching file data, the virtual character image and the virtual control auxiliary tool to obtain a user training performance; the main control unit performs pre-learning mental assessment according to the performance of the user in training to obtain an assessment result, and performs training course adjustment according to the assessment result. The face recognition and the virtual role substitution are carried out on the preschool children, the virtual character image is replaced by the character image in the training course, and the immersion feeling of the trained person and the role substitution feeling are enhanced; and carrying out intelligent evaluation according to the training process of the user, and adjusting the training course according to the result of the intelligent evaluation.
Description
Technical Field
The application relates to the technical field of computers, in particular to a training system, a training method and a training medium for pre-school mental reinforcement combined intelligent evaluation.
Background
When the mental test evaluation is carried out on the preschool children, the mental test and the training are mainly carried out on the attention disorder and the memory, the general training game adopts 2D image display, the images lack of stereoscopic impression and liveness, and the mental test and the training are boring for the preschool children, have no visual attraction and can not attract the attention of the children. In the training process, the immersion of the trained person is weak, and the substitution sense is lacking. At present, most of the tests are carried out in a paper mode, systemization and electronization are not formed, and trained course optimization is set manually, so that technical innovation is lacking.
Disclosure of Invention
Aiming at the defects in the prior art, the embodiment of the application provides a training system, a method and a medium for combining pre-school mental reinforcement with intelligent evaluation, face recognition is carried out on a pre-school child, a face image is converted into a virtual character image, the virtual character image is replaced by a character image in a training course, substitution sense is enhanced, and the system carries out intelligent evaluation according to the training process of a user.
In a first aspect, the application provides a training system for combining pre-school mental reinforcement with intelligent assessment, the training system comprises a processor, the processor comprises a pre-school course management unit, an image acquisition unit, a virtual processing unit, an interaction unit, an image display processing unit and a main control unit,
the pre-school course management unit is used for managing pre-school training courses, teaching file data and user information;
the image acquisition unit is used for acquiring face image information of a user;
the virtual processing unit is used for carrying out virtualization processing on the face image information of the user to obtain a virtual character image, and carrying out virtualization processing on the control auxiliary tool to obtain a virtual control auxiliary tool;
the interactive unit performs man-machine interaction processing according to the pre-learning training course, the teaching file data, the virtual character image and the virtual control auxiliary tool, replaces the character image of training content in the pre-learning training course with the virtual character image, and replaces the training auxiliary tool in the pre-learning training course with the virtual control auxiliary tool to obtain the performance condition of the user in the training course;
the image display processing unit is used for performing image processing on images of the course training process of the user;
the main control unit is used for performing pre-learning mental assessment according to the performance condition of the user in the training course to obtain an assessment result, and performing training course adjustment and optimization according to the assessment result.
In a second aspect, a training method for combining pre-school mental reinforcement with intelligent assessment provided by an embodiment of the present application is applicable to the training system for combining pre-school mental reinforcement with intelligent assessment, where the method includes:
acquiring basic information, pre-school training courses and teaching file data of a user;
acquiring face image information of a user;
carrying out virtualization processing on face image information of a user to obtain a virtual character image, and carrying out virtualization processing on the control auxiliary tool to obtain a virtual control auxiliary tool;
performing man-machine interaction processing according to the pre-school training course, the teaching file data, the virtual character image and the virtual control auxiliary tool, replacing the character image of training content in the pre-school training course with the virtual character image, and replacing the training auxiliary tool in the pre-school training course with the virtual control auxiliary tool to obtain the performance of the user in the training course;
performing image processing on the course training process images of the user;
and performing pre-learning mental assessment according to the performance of the user in the training course to obtain an assessment result, and performing training course adjustment and optimization according to the assessment result.
In a third aspect, embodiments of the present application also provide a computer-readable storage medium storing a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method steps described in the above embodiments.
The application has the beneficial effects that:
according to the training system for combining pre-school mental reinforcement with intelligent assessment, disclosed by the application, the pre-school children are subjected to face recognition, the face images are converted into the virtual character images, the virtual character images are replaced with the character images in the training courses, the substitution sense is enhanced, the intelligent assessment is performed according to the training process of the user, and the training courses can be adjusted and optimized according to the intelligent assessment result, so that the training courses are more targeted and have better training effect.
According to the training method and medium for combining pre-school mental reinforcement with intelligent assessment, face recognition is carried out on pre-school children, face images are converted into virtual character images, the virtual character images are replaced with character images in training courses, substitution sense is enhanced, intelligent assessment is carried out according to the training process of a user, and training courses can be adjusted and optimized according to the intelligent assessment result, so that the training courses are more targeted and have better training effects.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. Like elements or portions are generally identified by like reference numerals throughout the several figures. In the drawings, elements or portions thereof are not necessarily drawn to scale.
FIG. 1 is a schematic diagram showing a training system for pre-learning mental reinforcement combined with intelligent assessment according to a first embodiment of the present application;
fig. 2 is a flowchart showing a training method of combining pre-school mental enhancement with intelligent assessment according to a second embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As used in this specification and the appended claims, the term "if" may be interpreted as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".
It is noted that unless otherwise indicated, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this application belongs.
Referring to fig. 1, a schematic diagram of a training system for pre-learning mental reinforcement combined with intelligent assessment according to a first embodiment of the present application is shown. The training system for combining pre-school mental reinforcement with intelligent evaluation can be an APP installed on an intelligent mobile terminal, or can be a website opened on the intelligent terminal, and in the embodiment, the APP is taken as an example. The smart mobile terminal is typically a smart phone, a tablet computer, a wearable device, etc. The terminal equipment comprises an intelligent mobile terminal and an intelligent terminal. The intelligent mobile terminal collects face images of a user through the camera and displays picture information through the display screen. The training system for combining pre-school mental reinforcement with intelligent evaluation of the embodiment comprises a processor, wherein the processor comprises a pre-school course management unit, an image acquisition unit, a virtual processing unit, an interaction unit, an image display processing unit and a main control unit,
the pre-school course management unit is used for managing pre-school training courses, teaching file data and user information;
the image acquisition unit is used for acquiring face image information of a user;
the virtual processing unit is used for carrying out virtualization processing on the face image information of the user to obtain a virtual character image, and carrying out virtualization processing on the control auxiliary tool to obtain a virtual control auxiliary tool;
the interactive unit performs man-machine interaction processing according to the pre-learning training course, the teaching file data, the virtual character image and the virtual control auxiliary tool, replaces the character image of training content in the pre-learning training course with the virtual character image, and replaces the training auxiliary tool in the pre-learning training course with the virtual control auxiliary tool to obtain the performance condition of the user in the training course;
the image display processing unit is used for performing image processing on images of the course training process of the user;
the main control unit is used for performing pre-learning mental assessment according to the performance condition of the user in the training course to obtain an assessment result, and performing training course adjustment and optimization according to the assessment result.
In a specific implementation process, the pre-school course management unit of the system manages pre-school training courses, teaching archive data and user basic information. The learning condition and the learning progress of the teaching archive data user. The image acquisition unit may acquire face image information of the user using a camera or a camera. And the virtual processing unit performs virtualization processing according to the acquired face image information of the user to obtain a virtual character image, and performs virtualization processing on the control auxiliary tool to obtain a virtual control auxiliary tool. The virtual processing unit virtualizes the real person and the control auxiliary tool into the figure image and the control auxiliary tool in the training course. The interactive unit carries out man-machine interactive processing according to the pre-school training course, teaching archives data, virtual character images and virtual control auxiliary tools, replaces character images of training contents in the pre-school training course with the virtual character images, replaces training auxiliary tools in the pre-school training course with the virtual control auxiliary tools, substitutes users into the training course, enables the users to have substitution feeling, is more real, improves the attention and the interest of the users, enables training of preschool children to be more vivid, and enables the performance of the users in the training course to be more accurate. The image display processing unit performs image processing on a process image of course training of the user. The main control unit performs pre-learning mental assessment on the performance of the user in the training course to obtain an assessment result, and automatically adjusts the training course according to the assessment result.
In order to make the course of the user more in line with the age of the user, the pre-school course management unit comprises a pre-school training course management module, and the pre-school training course management module is used for distributing different training courses and training contents according to different ages. The pre-school course management unit further comprises a teaching archive data management module, wherein the teaching archive data management module is used for storing the learning condition and the learning progress of the user. The teaching archive data management module stores the learning condition and the learning progress of the user, and the teaching archive data management module stores the learning condition, so that parents of the user can check the learning condition of the user conveniently, and the learning progress can be stored conveniently and can be quickly used for entering the next learning according to the last learning progress when the user learns next time. The system manages pre-school courses and teaching file data by setting the pre-school course management unit, so that training courses and learning conditions of users can be conveniently checked.
In this embodiment, in order to make the user have a more realistic lesson training substitution feel, the virtual processing unit includes a character image virtual processing module, a control assistive device module, and a virtual substitution module, where the character image virtual processing module is configured to perform virtualization processing on a face image of the user according to a character image in a pre-learning training lesson to obtain a virtual character image; the control auxiliary tool virtual module is used for carrying out virtualization treatment on the control auxiliary tool according to the training auxiliary tool in the pre-school training course to obtain a virtual control auxiliary tool; the virtual substituting module is used for inputting the virtual character image and the virtual control auxiliary tool into the interaction unit. The virtual processing unit performs virtualization processing on the face image information of the user acquired by the image acquisition unit, and performs virtualization according to the task image in the pre-school training course to acquire a virtual character image. And carrying out virtualization treatment on the control auxiliary tool in reality according to the training auxiliary tool in the pre-school training course to obtain a virtual control auxiliary tool. The virtual substituting module processes the virtual character image and the virtual control auxiliary tool input interaction unit. The interactive unit performs man-machine interaction processing according to the pre-school training course, the teaching file data, the virtual character image and the virtual control auxiliary tool, replaces the character image of training content in the pre-school training course with the virtual character image, and replaces the training auxiliary tool in the pre-school training course with the virtual control auxiliary tool to obtain the performance of the user in the training course.
In order to enable a user to watch training images better in the training process, the image display processing unit comprises a display adaptation module, an image processing unit and an image transmission unit, and the display adaptation module is used for displaying and adjusting images in the course training process according to display equipment to obtain adaptation images; the image processing unit is used for processing the adaptive image by adopting an image depth algorithm to obtain a three-dimensional image; the image transmission unit is used for transmitting the processed three-dimensional image to the terminal equipment. The display adaptation module carries out image pixel and image size adaptation on the course training process image according to the display equipment of the current user to obtain an adaptation image, the image processing unit carries out data processing on the adaptation image by adopting an image depth algorithm to obtain a three-dimensional image, and the image transmission unit sends the processed three-dimensional image to the terminal equipment, so that the user can see the three-dimensional image of course training through the terminal equipment (the intelligent mobile terminal and the intelligent terminal) by naked eyes, the picture is more vivid and lifelike, and the interests of the user before school age are improved.
In order to carry out intelligent evaluation on the training process of the preschool user, the main control unit comprises an intelligent evaluation module, and the intelligent evaluation module is used for evaluating the preschool mental evaluation of the user according to the performance condition of the user in the training course to obtain an evaluation result. The intelligent evaluation module automatically evaluates the performance of the preschool user in the preschool training course according to the performance of the preschool user, and evaluates the attention and the memory of the preschool user according to the performance of the user. In order to enable the training of the user to be more fit with the current mental condition of the user, the main control unit further comprises an optimization evaluation module, and the optimization evaluation module is used for adjusting and optimizing the training course of the user according to the evaluation result. The optimization evaluation module can automatically adjust and optimize the user training course according to the evaluation result of the user, so that the training course is more in line with the current condition of the user, the training course is more targeted, and the training effect is better.
According to the training system combining the pre-school mental reinforcement with the intelligent assessment, provided by the embodiment of the application, the pre-school children are subjected to face recognition, the face image is converted into the virtual character image, the virtual character image is replaced by the character image in the training course, the substitution sense is enhanced, the intelligent assessment is performed according to the training process of the user, and the training course can be adjusted and optimized according to the intelligent assessment result, so that the training course is more targeted and the training effect is better.
In the first embodiment, a training system for combining pre-learning mental intensification with intelligent assessment is provided, and correspondingly, the application also provides a training method for combining pre-learning mental intensification with intelligent assessment. Please refer to fig. 2, which is a flowchart illustrating a training method for combining pre-learning mental enhancement with intelligent assessment according to a second embodiment of the present application. Since the method embodiments are substantially similar to the apparatus embodiments, the description is relatively simple, and reference is made to the description of the apparatus embodiments for relevant points. The method embodiments described below are merely illustrative.
Referring to fig. 2, a flowchart of a training method for combining pre-learning mental enhancement with intelligent assessment according to a second embodiment of the present application is shown, and the method is applicable to the training system for combining pre-learning mental enhancement with intelligent assessment according to the first embodiment, and the method includes the following steps:
and S1, acquiring basic information, pre-school training courses and teaching file data of a user.
Specifically, the specific method for acquiring the basic information, pre-school training courses and teaching archival data of the user comprises the following steps:
acquiring basic information of a user through login information of the user;
acquiring the age of the user according to the basic information of the user, and acquiring training courses and training contents corresponding to the age according to the age of the user;
and acquiring the learning condition and the learning progress of the user.
Specifically, the basic information of the user includes information of the user name, age, contact information, address, and the like. The pre-school training courses and training contents are graded according to the ages of the users, and the pre-school training courses are matched with the ages of the users, so that the training courses and the training contents of the users need to be determined according to the ages of the users. The teaching archive data is obtained by obtaining the learning condition and the learning progress of the user.
S2, acquiring face image information of the user.
And acquiring face image information of the user acquired by the terminal equipment, so that the face image can be conveniently processed in the later period.
And S3, carrying out virtualization processing on the face image information of the user to obtain a virtual character image, and carrying out virtualization processing on the control auxiliary tool to obtain a virtual control auxiliary tool.
Specifically, the virtualization process includes: carrying out virtualization processing on face images of a user according to the figure images in the pre-school training course to obtain virtual figure images; the control auxiliary tool virtual module is used for carrying out virtualization treatment on the control auxiliary tool according to the training auxiliary tool in the pre-school training course to obtain a virtual control auxiliary tool.
And S4, performing man-machine interaction processing according to the pre-school training course, the teaching file data, the virtual character image and the virtual control auxiliary tool, replacing the character image of training content in the pre-school training course with the virtual character image, and replacing the training auxiliary tool in the pre-school training course with the virtual control auxiliary tool to obtain the performance of the user in the training course.
And carrying out virtualization processing on the face image according to the character image in the pre-school training course, and carrying out virtualization processing on the control auxiliary tool in reality according to the training auxiliary tool in the pre-school training course to obtain the virtual control auxiliary tool. And carrying out man-machine interaction processing according to the pre-school training course, the teaching file data, the virtual character image and the virtual control auxiliary tool, replacing the character image of training content in the pre-school training course with the virtual character image, and replacing the training auxiliary tool in the pre-school training course with the virtual control auxiliary tool to obtain the performance of the user in the training course. The user has more real curriculum training substitution sense, and the interest of the user is improved.
S5, performing image processing on the course training process images.
Specifically, the specific method for performing image processing on the course training process image comprises the following steps:
displaying and adjusting the course training process image according to the display equipment to obtain an adaptive image;
processing the adaptive image by adopting an image depth algorithm to obtain a three-dimensional image;
and sending the processed three-dimensional image to terminal equipment.
And carrying out image pixel and image size adaptive adjustment on the course training process image according to the display equipment of the current user to obtain an adaptive image, carrying out data processing on the adaptive image by adopting an image depth algorithm to obtain a three-dimensional image, and transmitting the processed three-dimensional image of the course training process to the terminal equipment, so that the user can see the three-dimensional image of the course training through the terminal equipment, the picture is more vivid and lifelike, and the interests of the user before school age are improved.
And S6, performing pre-school mental assessment according to the performance of the user in the training course to obtain an assessment result, and performing training course adjustment and optimization according to the assessment result.
The method comprises the steps of automatically evaluating the performance of a preschool user in a preschool training course, and evaluating the attention and the memory of the user according to the performance of the user. According to the evaluation result of the user, the training course of the user is automatically adjusted and optimized, so that the training course is more in line with the current condition of the user, the training course is more targeted, and the training effect is better.
According to the training method combining pre-school mental reinforcement with intelligent assessment, face recognition is carried out on a pre-school child, face images are converted into virtual character images, the virtual character images are replaced with character images in training courses, substitution sense is enhanced, intelligent assessment is carried out according to the training process of a user, and training courses can be adjusted and optimized according to the intelligent assessment result, so that the training courses are more targeted and have better training effects.
In a further embodiment of the application, a computer-readable storage medium is provided, which stores a computer program comprising program instructions which, when executed by a processor, cause the processor to carry out the method steps described in the second embodiment above.
The computer readable storage medium may be an internal storage unit of the terminal according to the foregoing embodiment, for example, a hard disk or a memory of the terminal. The computer readable storage medium may also be an external storage device of the terminal, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the terminal. Further, the computer-readable storage medium may also include both an internal storage unit and an external storage device of the terminal. The computer-readable storage medium is used to store the computer program and other programs and data required by the terminal. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working procedures of the terminal and the unit described above may refer to the corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In several embodiments provided by the present application, it should be understood that the disclosed terminal and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices, or elements, or may be an electrical, mechanical, or other form of connection.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the application, and are intended to be included within the scope of the appended claims and description.
Claims (8)
1. A training system for combining pre-school mental reinforcement with intelligent evaluation is characterized by comprising a processor, wherein the processor comprises a pre-school course management unit, an image acquisition unit, a virtual processing unit, an interaction unit, an image display processing unit and a main control unit,
the pre-school course management unit is used for managing pre-school training courses, teaching file data and user information;
the image acquisition unit is used for acquiring face image information of a user;
the virtual processing unit is used for carrying out virtualization processing on the face image information of the user to obtain a virtual character image, and carrying out virtualization processing on the control auxiliary tool to obtain a virtual control auxiliary tool;
the virtual processing unit comprises a character image virtual processing module, a control auxiliary tool module and a virtual substitution module,
the character image virtual processing module is used for carrying out virtualization processing on a face image of a user according to character images in a pre-school training course to obtain a virtual character image;
the control auxiliary tool virtual module is used for carrying out virtualization treatment on the control auxiliary tool according to the training auxiliary tool in the pre-school training course to obtain a virtual control auxiliary tool;
the virtual substitution module is used for inputting the virtual character image and the virtual control auxiliary tool into the interaction unit;
the interactive unit performs man-machine interaction processing according to the pre-learning training course, the teaching file data, the virtual character image and the virtual control auxiliary tool, replaces the character image of training content in the pre-learning training course with the virtual character image, and replaces the training auxiliary tool in the pre-learning training course with the virtual control auxiliary tool to obtain the performance condition of the user in the training course;
the image display processing unit is used for performing image processing on images of the course training process of the user;
the main control unit is used for performing pre-learning mental assessment according to the performance condition of the user in the training course to obtain an assessment result, and performing training course adjustment and optimization according to the assessment result.
2. The pre-school mental enhancement combined intelligent assessment training system according to claim 1, wherein said pre-school course management unit comprises a pre-school training course management module and a teaching archive data management module,
the pre-school training course management module is used for distributing different training courses and training contents according to different ages;
the teaching archive data management module is used for saving the learning condition and the learning progress of the user.
3. The training system for pre-school mental reinforcement in combination with intelligent assessment according to claim 1, wherein the image display processing unit comprises a display adaptation module, an image processing unit and an image transmission unit,
the display adaptation module is used for displaying and adjusting the course training process image according to the display equipment to obtain an adaptation image;
the image processing unit is used for processing the adaptive image by adopting an image depth algorithm to obtain a three-dimensional image;
the image transmission unit is used for transmitting the processed three-dimensional image to the terminal equipment.
4. The training system for combining pre-school mental reinforcement with intelligent assessment according to claim 1, wherein the main control unit comprises an intelligent assessment module and an optimization assessment module, and the intelligent assessment module is used for assessing the pre-school mental assessment of the user according to the performance of the user in the training course to obtain an assessment result;
and the optimization evaluation module is used for adjusting and optimizing the training course of the user according to the evaluation result.
5. A training method for pre-school mental reinforcement combined intelligent assessment, suitable for the training system for pre-school mental reinforcement combined intelligent assessment according to claim 1, the method comprising:
acquiring basic information, pre-school training courses and teaching file data of a user;
acquiring face image information of a user;
carrying out virtualization processing on face image information of a user to obtain a virtual character image, and carrying out virtualization processing on the control auxiliary tool to obtain a virtual control auxiliary tool;
the specific method for carrying out virtualization processing on the face image information of the user to obtain the virtual character image and carrying out virtualization processing on the control auxiliary tool to obtain the virtual control auxiliary tool comprises the following steps:
carrying out virtualization processing on face images of a user according to the figure images in the pre-school training course to obtain virtual figure images;
the control auxiliary tool virtual module is used for carrying out virtualization treatment on the control auxiliary tool according to the training auxiliary tool in the pre-school training course to obtain a virtual control auxiliary tool;
performing man-machine interaction processing according to the pre-school training course, the teaching file data, the virtual character image and the virtual control auxiliary tool, replacing the character image of training content in the pre-school training course with the virtual character image, and replacing the training auxiliary tool in the pre-school training course with the virtual control auxiliary tool to obtain the performance of the user in the training course;
performing image processing on the course training process images of the user;
and performing pre-learning mental assessment according to the performance of the user in the training course to obtain an assessment result, and performing training course adjustment and optimization according to the assessment result.
6. The training method for pre-school mental reinforcement combined with intelligent assessment according to claim 5, wherein the specific method for obtaining basic information, pre-school training courses and teaching archival data of the user comprises the following steps:
acquiring basic information of a user through login information of the user;
acquiring the age of the user according to the basic information of the user, and acquiring training courses and training contents corresponding to the age according to the age of the user;
and acquiring the learning condition and the learning progress of the user.
7. The training method of pre-school mental reinforcement combined with intelligent assessment according to claim 5, wherein the specific method for performing image processing on the course training process image of the user comprises the following steps:
displaying and adjusting the course training process image according to the display equipment to obtain an adaptive image;
processing the adaptive image by adopting an image depth algorithm to obtain a three-dimensional image;
and sending the processed three-dimensional image to terminal equipment.
8. A computer readable storage medium storing a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method steps of any of claims 5-7.
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