CN114582467A - Personal education information management platform based on Internet - Google Patents

Personal education information management platform based on Internet Download PDF

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CN114582467A
CN114582467A CN202210236905.3A CN202210236905A CN114582467A CN 114582467 A CN114582467 A CN 114582467A CN 202210236905 A CN202210236905 A CN 202210236905A CN 114582467 A CN114582467 A CN 114582467A
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user
physiological
data
psychological
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姚志欣
赵蒙
张岩
马树银
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Affiliated Hospital of University of Qingdao
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Affiliated Hospital of University of Qingdao
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/70ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

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Abstract

The invention belongs to the technical field of intelligent education, and discloses an Internet-based personal education information management platform, which comprises: the system comprises a user registration login module, a health data acquisition module, a physiological data acquisition module, a central control module, a testing module, a speaking module, an image acquisition and state judgment module, an evaluation module, a skill training module, a psychological counseling module and a grading module. The invention can help patients with visual or hearing impairment diabetes and the like to acquire health education knowledge more easily and conveniently. The invention carries out all-round evaluation on the risks or self-care ability of the people with diabetes and physiological defects, and provides skill training items or psychological persuasion services aiming at the evaluation results, thereby not only ensuring the basic life of the people with physiological defects, but also improving the life ability and skills of the people, more importantly, providing persuasion from the psychological level and avoiding the influence of the self-inferior or other psychological diseases on the normal life of the users.

Description

Personal education information management platform based on Internet
Technical Field
The invention belongs to the technical field of intelligent education, and particularly relates to an Internet-based personal education information management platform.
Background
At present, as the nation vigorously develops education, the popularization of national education is greatly improved, and the quality and academic degree of the nationwide are correspondingly changed. With the rapid development of the current science and technology, information sharing is gradually becoming the mainstream of development, and in order to update and reasonably manage personal education information in time and keep information secret and shared, an information management platform needs to be established. Since personal information is often not uniform and is often subject to change and adjustment, a good personal information management system is convenient for systematic management of personal information. Due to drastic changes of living environments and continuous increase of social pressure, people have a great desire for knowledge, and the knowledge is easy to obtain for healthy people, but the knowledge is difficult to obtain for people with physical disabilities, and particularly, a learning platform which is suitable for the people with physical disabilities does not exist at present.
Through the above analysis, the problems and defects of the prior art are as follows: there is no learning platform specifically for the population with physiological defects.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an Internet-based personal education information management platform.
The present invention is achieved in an internet-based personal education information management platform, comprising:
the system comprises a user registration login module, a health data acquisition module, a physiological data acquisition module, a central control module, a testing module, a propaganda module, an image acquisition and state judgment module, an evaluation module, a skill training module, a psychological counseling module and a grading module;
the user registration login module is connected with the central control module and is used for registering a user by utilizing the personal identity information and logging in by utilizing a registration account;
the testing module is connected with the central control module and is used for acquiring the grade of the diabetes or the physiological defect of the user by utilizing a professional questionnaire form aiming at the diabetes and various physiological defect crowds;
the propaganda module is connected with the central control module and is used for selecting the propaganda content corresponding to the user from education videos, characters and albums which are pre-stored in a database and aim at various health problems or physiological defect problems based on the personal health condition input by the user and the corresponding physiological defect condition to display;
the evaluation module is connected with the central control module and is used for evaluating the risk level of the diabetic patient and the autonomic level of the physiological defect patient based on the personal health condition, the corresponding physiological defect state, the collected physiological data, the grade of the diabetes or the physiological defect, the psychological state and other data input by the user;
the risk rating assessment for a diabetic patient comprises:
inputting the personal health condition, the acquired physiological data, the diabetes grade and other data input by the user into a verified risk assessment model to obtain a risk grade assessment result of the diabetic;
the skill training module is connected with the central control module and used for carrying out targeted diabetes self-control skill or life skill training based on the risk level of the user or the autonomous level evaluation result of the physiological defect person;
the psychological persuasion module is connected with the central control module and used for judging whether psychological persuasion is needed or not based on the psychological state judgment result of the user and providing corresponding psychological persuasion for the user in a psychological persuasion video or online communication mode with a psychological health clinic;
and the scoring module is connected with the central control module and used for summarizing the speaking video and the skill training watched by the user and scoring the education condition of the user in a certain time period through the change of the physiological data, the psychological state, the test data, the evaluation module, the skill training result and the psychological persuasion condition in a certain time period.
Further, the internet-based personal education information management platform further includes:
the health data acquisition module is connected with the central control module and is used for acquiring the personal health condition of the user and the corresponding physiological defect condition in a form of questionnaire;
the physiological data acquisition module is connected with the central control module and is used for acquiring blood pressure, heartbeat and other physiological data of the user by utilizing the physiological monitoring equipment;
the central control module is connected with the user registration login module, the health data acquisition module, the physiological data acquisition module, the testing module, the propaganda module, the image acquisition and state judgment module, the evaluation module, the skill training module, the psychological counseling module and the grading module and is used for controlling each module to normally work by utilizing a single chip microcomputer or a controller;
the image acquisition module is connected with the central control module and is used for acquiring a facial image and limb actions of a user when the user watches a propaganda file by utilizing the camera equipment;
and the state judgment module is connected with the central control module and is used for judging the psychological state of the user during watching and speaking based on the collected corresponding facial images and limb actions.
Further, the inputting of the user-entered personal health status, collected physiological data, diabetes level, and other data into the validated risk assessment model may be preceded by:
acquiring relevant symptoms or other data of a corresponding diabetic patient of a professional database, and determining risk factors of type 2 diabetes mellitus occurrence through one-factor and multi-factor logistic regression analysis based on the acquired data;
dividing the diabetes patient's associated condition or other data into a training dataset and a validation dataset; constructing a type 2 diabetes risk assessment model by taking the determined risk factors as independent variables, and training the assessment model by utilizing the training data set;
and verifying the constructed type 2 diabetes risk assessment model by using the verification data set.
Further, the assessing module assesses the physiological deficit voluntary level based on the user-input personal health status, corresponding physiological deficit status, collected physiological data, a level of physiological deficit, a psychological status, and other data, including:
acquiring personal health condition, corresponding physiological defect state, acquired physiological data, physiological defect grade, psychological state and other data input by a user, and preprocessing the acquired data;
extracting evaluation items based on the preprocessed data, and generating a plurality of evaluation scales based on the extracted evaluation items and the preprocessed data;
determining the weight value of the evaluation item based on the influence of the evaluation item on the life self-care ability, acquiring the score of each evaluation item of the user based on the data of the user according to the generated evaluation scale, and obtaining the total evaluation score of the user by combining the weight value of each item;
and determining the autonomy grade of the user based on the comparison of the evaluation total value and a preset score threshold value.
Further, the autonomy level of the user includes: a fully autonomic stage, a substantially autonomic stage, a semi-autonomic stage, and an unownable autonomic stage.
Further, the state judging module judges the psychological state of the user when watching the announcement based on the collected corresponding facial image and the body movement includes:
acquiring a facial image, limb actions and correspondingly acquired physiological data of a user during watching a declaration;
analyzing the obtained face image to obtain micro-expression characteristics of the user; analyzing the limb image to obtain the limb action characteristics of the user;
inputting the micro expression characteristics and the limb action characteristics of the user into a pre-constructed emotional state recognition model to determine the emotional state of the user;
verifying whether the emotion state recognition result of the user is accurate based on the acquired physiological data according to the emotion state stored in the database and the change condition of the corresponding physiological data;
if not, adjusting the dynamic parameters of the constructed recognition model, and recognizing again until the physiological data change result is correspondingly consistent with the emotional state, so as to obtain the psychological state of the user.
Further, the analyzing the acquired face image to obtain the micro-expression characteristics of the user includes:
acquiring a plurality of continuous user face images, and calculating an image feature vector of a combined weight value in each user face image;
summing the image feature vectors of the combined weight values of each user face image to obtain corresponding comprehensive face image feature vectors;
and comparing each user face image with a pre-stored reference micro-expression feature vector, and obtaining a micro-expression feature recognition result of the user according to a comparison result.
Another object of the present invention is to provide an information data processing terminal, characterized in that the information data processing terminal is used to implement the internet-based personal education information management platform.
It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface to apply the internet-based personal education information management platform when being executed on an electronic device.
It is another object of the present invention to provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to apply the internet-based personal education information management platform.
By combining all the technical schemes, the invention has the advantages and positive effects that: the invention develops a set of personal education information management platform based on the Internet aiming at the people with physiological disorders, and realizes the learning and health care of the people with physiological disorders; the invention can help patients with visual or hearing impairment diabetes and the like to acquire health education knowledge more easily and conveniently.
The invention carries out all-round evaluation on the risks or self-care ability of the people with diabetes and physiological defects, the evaluation result is more accurate and comprehensive, meanwhile, a skill training project or psychological persuasion service is provided aiming at the evaluation result, not only can the basic life of the people with physiological defects be guaranteed, but also the living ability and the skills of the people with physiological defects can be improved, more importantly, the persuasion is provided from the psychological aspect, and the influence of the self-disfunction or other psychological diseases of the user on the normal life is avoided.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
Fig. 1 is a schematic structural view of an internet-based personal education information management platform provided in an embodiment of the present invention;
in the figure: 1. a user registration login module; 2. a health data acquisition module; 3. a physiological data acquisition module; 4. a central control module; 5. a test module; 6. a speaking module; 7. collecting an image; 8. a state judgment module; 9. an evaluation module; 10. a skill training module; 11. a psychological grooming module; 12. and a scoring module.
Fig. 2 is a flowchart of a method for determining a psychological state of a user when the user watches a declaration based on a corresponding collected facial image and a body movement by using the state determination module according to the embodiment of the present invention.
Fig. 3 is a flowchart of a method for analyzing an acquired face image to obtain micro-expression features of a user according to an embodiment of the present invention.
FIG. 4 is a flow chart of a method for risk level assessment of a diabetic patient according to an embodiment of the present invention.
Fig. 5 is a flowchart of a method for evaluating the autonomic rating of a physiological defect based on user-entered personal health status, corresponding physiological defect status, collected physiological data, physiological defect rating, psychological status, and other data by an evaluation module according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In order to solve the problems in the prior art, the present invention provides an internet-based personal education information management platform, which is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, an internet-based personal education information management platform according to an embodiment of the present invention includes:
the user registration login module 1 is connected with the central control module 4 and is used for registering a user by utilizing personal identity information and logging in by utilizing a registration account;
the health data acquisition module 2 is connected with the central control module 4 and is used for acquiring the personal health condition of the user and the corresponding physiological defect condition in a form of questionnaire;
the physiological data acquisition module 3 is connected with the central control module 4 and is used for acquiring blood pressure, heartbeat and other physiological data of the user by utilizing physiological monitoring equipment;
the central control module 4 is connected with the user registration login module 1, the health data acquisition module 2, the physiological data acquisition module 3, the test module 5, the propaganda module 6, the image acquisition module 7, the state judgment module 8, the evaluation module 9, the skill training module 10, the psychological counseling module 11 and the scoring module 12, and is used for controlling each module to normally work by utilizing a single chip microcomputer or a controller;
the testing module 5 is connected with the central control module 4 and is used for acquiring the grade of diabetes or physiological defects of the user by utilizing a professional questionnaire form aiming at the diabetes and various physiological defect crowds;
the declaration module 6 is connected with the central control module 4 and is used for selecting the declaration content corresponding to the user from education videos, characters and albums which are pre-stored in a database and aim at various health problems or physiological defect problems based on the personal health condition input by the user and the corresponding physiological defect condition and displaying the selected declaration content;
the image acquisition module 7 is connected with the central control module 4 and is used for acquiring a facial image and limb actions of a user when the user watches a propaganda file by utilizing camera equipment;
the state judgment module 8 is connected with the central control module 4 and is used for judging the psychological state of the user when watching the declaration based on the collected corresponding facial images and the limb actions;
the evaluation module 9 is connected with the central control module 4 and is used for evaluating the risk level of the diabetic patient and the autonomic level of the physiological defect patient based on the personal health condition, the corresponding physiological defect state, the collected physiological data, the grade of the diabetes or the physiological defect, the psychological state and other data input by the user;
the skill training module 10 is connected with the central control module 4 and used for carrying out targeted diabetes self-control skill or life skill training based on the risk level of the user or the evaluation result of the physiological defect person;
the psychological persuasion module 11 is connected with the central control module 4 and used for judging whether psychological persuasion is needed or not based on the psychological state judgment result of the user and providing corresponding psychological persuasion for the user in a psychological persuasion video or online communication mode with a psychological health clinic;
and the scoring module 12 is connected with the central control module 4 and is used for summarizing the speaking video and the skill training watched by the user and scoring the education condition of the user in a certain time period through the change of the physiological data, the psychological state, the test data, the evaluation module, the skill training result and the psychological persuasion condition in a certain time period.
As shown in fig. 2, the state determining module according to the embodiment of the present invention determines the mental state of the user when viewing the declaration based on the collected corresponding facial image and the body movement, including:
s101, acquiring a face image, limb actions and correspondingly acquired physiological data of a user during watching and speaking;
s102, analyzing the obtained face image to obtain micro-expression characteristics of the user; analyzing the limb image to obtain the limb action characteristics of the user;
s103, inputting the micro expression characteristics and the limb action characteristics of the user into a pre-constructed emotional state recognition model to determine the emotional state of the user;
s104, verifying whether the emotion state recognition result of the user is accurate based on the acquired physiological data according to the emotion state stored in the database and the change condition of the corresponding physiological data;
and S105, if not, adjusting the dynamic parameters of the constructed recognition model, and recognizing again until the physiological data change result is correspondingly consistent with the emotional state, so that the psychological state of the user can be obtained.
As shown in fig. 3, analyzing an acquired face image to obtain micro-expression features of a user according to an embodiment of the present invention includes:
s201, acquiring a plurality of continuous user face images, and calculating an image feature vector of a combined weight value in each user face image;
s202, summing the image feature vectors of the combined weight values of each user face image to obtain a corresponding comprehensive face image feature vector;
s203, comparing each user face image with a pre-stored reference micro-expression feature vector, and obtaining a micro-expression feature recognition result of the user according to the comparison result.
As shown in fig. 4, the risk level assessment for diabetic patients provided by the embodiment of the present invention includes:
s301, acquiring relevant symptoms or other data of a corresponding diabetic patient in a professional database, and determining risk factors of type 2 diabetes mellitus generation through single-factor and multi-factor logistic regression analysis based on the acquired data;
s302, dividing related diseases or other data of the diabetes patient into a training data set and a verification data set; constructing a type 2 diabetes risk assessment model by taking the determined risk factors as independent variables, and training the assessment model by utilizing the training data set;
s303, verifying the constructed type 2 diabetes risk assessment model by using the verification data set; and inputting the personal health condition, the acquired physiological data, the diabetes grade and other data input by the user into a verified risk assessment model to obtain a risk grade assessment result of the diabetic.
As shown in fig. 5, the evaluation module provided by the embodiment of the present invention evaluates the autonomic rating of the physiological defect based on the user-inputted personal health status, the corresponding physiological defect status, the collected physiological data, the physiological defect rating, the psychological status and other data, including:
s401, acquiring personal health condition, corresponding physiological defect state, acquired physiological data, physiological defect grade, psychological state and other data input by a user, and preprocessing the acquired data;
s402, extracting evaluation items based on the preprocessed data, and generating a plurality of evaluation scales based on the extracted evaluation items and the preprocessed data;
s403, determining the weight value of the evaluation item based on the influence of the evaluation item on the life self-care ability, acquiring the score of each evaluation item of the user based on the data of the user according to the generated evaluation scale, and obtaining the evaluation total score of the user by combining the weight value of each item;
s404, comparing the evaluation total value with a preset score threshold value, and determining the autonomy grade of the user.
The autonomous level of the user provided by the embodiment of the invention comprises the following steps: a fully autonomic stage, a substantially autonomic stage, a semi-autonomic stage, and a non-autonomic stage.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, and any modification, equivalent replacement, and improvement made by those skilled in the art within the technical scope of the present invention disclosed herein, which is within the spirit and principle of the present invention, should be covered by the present invention.

Claims (10)

1. An internet-based personal educational information management platform, wherein the internet-based personal educational information management platform comprises:
the system comprises a user registration login module, a health data acquisition module, a physiological data acquisition module, a central control module, a testing module, a propaganda module, an image acquisition and state judgment module, an evaluation module, a skill training module, a psychological counseling module and a grading module;
the user registration login module is connected with the central control module and is used for registering a user by utilizing the personal identity information and logging in by utilizing a registration account;
the testing module is connected with the central control module and is used for acquiring the grade of the diabetes or the physiological defect of the user by utilizing a professional questionnaire form aiming at the diabetes and various physiological defect crowds;
the propaganda module is connected with the central control module and is used for selecting the propaganda content corresponding to the user from education videos, characters and albums which are pre-stored in a database and aim at various health problems or physiological defect problems based on the personal health condition input by the user and the corresponding physiological defect condition to display;
the evaluation module is connected with the central control module and is used for evaluating the risk level of the diabetic patient and the autonomic level of the physiological defect patient based on the personal health condition, the corresponding physiological defect state, the collected physiological data, the grade of the diabetes or the physiological defect, the psychological state and other data input by the user;
the risk level assessment for a diabetic patient comprises:
inputting the personal health condition, the acquired physiological data, the diabetes grade and other data input by the user into a verified risk assessment model to obtain a risk grade assessment result of the diabetic;
the skill training module is connected with the central control module and used for carrying out targeted diabetes self-control skill or life skill training based on the risk level of the user or the autonomous level evaluation result of the physiological defect person;
the psychological persuasion module is connected with the central control module and used for judging whether psychological persuasion is needed or not based on the psychological state judgment result of the user and providing corresponding psychological persuasion for the user in a psychological persuasion video or online communication mode with a psychological health clinic;
and the scoring module is connected with the central control module and used for summarizing the speaking video and the skill training watched by the user and scoring the education condition of the user in a certain time period through the change of the physiological data, the psychological state, the test data, the evaluation module, the skill training result and the psychological persuasion condition in a certain time period.
2. The internet-based personal educational information management platform of claim 1, wherein said internet-based personal educational information management platform further comprises:
the health data acquisition module is connected with the central control module and is used for acquiring the personal health condition of the user and the corresponding physiological defect condition in a form of questionnaire;
the physiological data acquisition module is connected with the central control module and is used for acquiring blood pressure, heartbeat and other physiological data of the user by utilizing the physiological monitoring equipment;
the central control module is connected with the user registration login module, the health data acquisition module, the physiological data acquisition module, the testing module, the propaganda module, the image acquisition and state judgment module, the evaluation module, the skill training module, the psychological counseling module and the grading module and is used for controlling each module to normally work by utilizing a single chip microcomputer or a controller;
the image acquisition module is connected with the central control module and is used for acquiring a facial image and limb actions of a user when the user watches a propaganda file by utilizing the camera equipment;
and the state judgment module is connected with the central control module and is used for judging the psychological state of the user during watching and speaking based on the collected corresponding facial images and limb actions.
3. The internet-based personal educational information management platform of claim 1, wherein said entering user-entered personal health, collected physiological data, diabetes grade and other data into a validated risk assessment model is preceded by:
acquiring relevant symptoms or other data of a corresponding diabetic patient of a professional database, and determining risk factors of type 2 diabetes mellitus occurrence through one-factor and multi-factor logistic regression analysis based on the acquired data;
dividing the diabetes patient's associated condition or other data into a training dataset and a validation dataset; constructing a type 2 diabetes risk assessment model by taking the determined risk factors as independent variables, and training the assessment model by utilizing the training data set;
and verifying the constructed type 2 diabetes risk assessment model by using the verification data set.
4. The internet-based personal educational information management platform of claim 1, wherein said assessment module assessing a physiological definer autonomy rating based on user input of personal health status, corresponding physiological deficiency status, collected physiological data, physiological deficiency rating, psychological status and other data comprises:
acquiring personal health condition, corresponding physiological defect state, acquired physiological data, physiological defect grade, psychological state and other data input by a user, and preprocessing the acquired data;
extracting evaluation items based on the preprocessed data, and generating a plurality of evaluation scales based on the extracted evaluation items and the preprocessed data;
determining the weight value of the evaluation item based on the influence of the evaluation item on the life self-care ability, acquiring the score of each evaluation item of the user based on the data of the user according to the generated evaluation scale, and obtaining the total evaluation score of the user by combining the weight value of each item;
and determining the autonomy grade of the user based on the comparison of the evaluation total value and a preset score threshold value.
5. The internet-based personal educational information management platform of claim 4, wherein said user's autonomy level comprises: a fully autonomic stage, a substantially autonomic stage, a semi-autonomic stage, and an unownable autonomic stage.
6. The internet-based personal educational information management platform of claim 2, wherein the state judging module judges the psychological state of the user when the user watches the declaration based on the collected corresponding facial image and the body motion comprises:
acquiring a facial image, limb actions and correspondingly acquired physiological data of a user during watching a declaration;
analyzing the obtained face image to obtain micro-expression characteristics of the user; analyzing the limb image to obtain the limb action characteristics of the user;
inputting the micro expression characteristics and the limb action characteristics of the user into a pre-constructed emotional state recognition model to determine the emotional state of the user;
verifying whether the emotion state recognition result of the user is accurate based on the acquired physiological data according to the emotion state stored in the database and the change condition of the corresponding physiological data;
if not, adjusting the dynamic parameters of the constructed recognition model, and recognizing again until the physiological data change result is correspondingly consistent with the emotional state, so as to obtain the psychological state of the user.
7. The internet-based personal educational information management platform of claim 6, wherein said parsing the acquired facial image to obtain the micro-expression feature of the user comprises:
acquiring a plurality of continuous user face images, and calculating an image feature vector of a combined weight value in each user face image;
summing the image feature vectors of the combined weight values of each user face image to obtain corresponding comprehensive face image feature vectors;
and comparing each user face image with a pre-stored reference micro-expression feature vector, and obtaining a micro-expression feature recognition result of the user according to a comparison result.
8. An information data processing terminal for implementing the internet-based personal education information management platform according to any one of claims 1 to 7.
9. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for applying the internet-based personal education information management platform according to any one of claims 1 to 7 when executed on an electronic device.
10. A computer-readable storage medium storing instructions which, when executed on a computer, cause the computer to apply the internet-based personal education information management platform as claimed in any one of claims 1 to 7.
CN202210236905.3A 2022-03-11 2022-03-11 Personal education information management platform based on Internet Withdrawn CN114582467A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115359914A (en) * 2022-08-26 2022-11-18 山东心法科技有限公司 Method, apparatus, and medium for discriminating psychological states based on quantization description vector

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115359914A (en) * 2022-08-26 2022-11-18 山东心法科技有限公司 Method, apparatus, and medium for discriminating psychological states based on quantization description vector

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