CN112380261B - Remote coaching method, device and system based on 5G technology and storage medium - Google Patents

Remote coaching method, device and system based on 5G technology and storage medium Download PDF

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CN112380261B
CN112380261B CN202011081517.XA CN202011081517A CN112380261B CN 112380261 B CN112380261 B CN 112380261B CN 202011081517 A CN202011081517 A CN 202011081517A CN 112380261 B CN112380261 B CN 112380261B
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determining
user
user terminal
answered
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CN112380261A (en
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曹小伍
曹景溢
雷铭杰
曹得明
钱隆
郑正
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Hangzhou Xiangyi Technology Co Ltd
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    • G06F16/2457—Query processing with adaptation to user needs
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    • G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
    • G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
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Abstract

The invention discloses a remote coaching method, a device, a system and a computer readable storage medium based on a 5G technology, wherein the method comprises the following steps: after a request instruction for starting remote coaching is detected, starting acquisition equipment provided with a fifth-generation communication technology 5G communication module based on the request instruction, determining corresponding action data based on the acquisition equipment, and determining corresponding face images based on the action data; determining a corresponding user identity based on the face image, and determining a corresponding user terminal based on the user identity; and acquiring learning data corresponding to the user terminal, determining corresponding reply data based on the learning data, and transmitting the reply data to the user terminal for remote coaching. According to the invention, the acquisition equipment provided with the 5G communication module is used for determining the action data, the corresponding user terminal is determined based on the action data, and the corresponding reply data is determined based on the learning data, so that the learning data of the user terminal can be replied in real time, and the learning efficiency is improved.

Description

Remote coaching method, device and system based on 5G technology and storage medium
Technical Field
The invention relates to the technical field of 5G (5 th Generation Wireless Systems, fifth generation mobile communication technology), relates to the field of intelligent education and coaching, and in particular relates to a remote coaching method, device and system based on a 5G technology and a storage medium.
Background
The existing remote coaching method mainly comprises the steps that a teacher sends data to be answered to student terminals corresponding to students through the teacher terminal, the students answer the data to be answered in the student terminals, the student terminals send the answering data to the teacher terminal, the teacher reviews the received answering data in the teacher terminal, and then the teacher sends the review data to the student terminals. Therefore, after the students answer all the data to be answered, the students can receive the review data of the teachers, so that the students cannot receive the review data of the data to be answered in real time. From this, the learning efficiency of the remote coaching method is low.
Disclosure of Invention
The invention mainly aims to provide a remote coaching method, a device and a system based on a 5G technology and a computer readable storage medium, and aims to solve the technical problem of low learning efficiency of the existing remote coaching method.
In order to achieve the above object, the present invention provides a 5G technology-based remote coaching method, comprising the steps of:
After a request instruction for starting remote coaching is detected, starting acquisition equipment provided with a fifth-generation communication technology 5G communication module based on the request instruction, determining corresponding action data based on the acquisition equipment, and determining corresponding face images based on the action data;
Determining a corresponding user identity based on the face image, and determining a corresponding user terminal based on the user identity;
And acquiring learning data corresponding to the user terminal, determining corresponding reply data based on the learning data, and transmitting the reply data to the user terminal for remote coaching.
Optionally, the step of acquiring learning data corresponding to the user terminal and determining corresponding reply data based on the learning data includes:
acquiring learning data corresponding to the user terminal, and detecting whether data to be answered exist in the learning data, wherein the data to be answered carries a preset mark;
and if the data to be answered is detected to exist, inputting the data to be answered into a database, analyzing the data to be answered based on the database, and determining corresponding answer data.
Optionally, the step of obtaining learning data corresponding to the user terminal and detecting whether data to be answered exists in the learning data, where the data to be answered carries a preset mark, further includes:
If the fact that the data to be solved do not exist is detected, detecting whether user voice exists or not;
and if the user voice is detected to exist, acquiring the user voice, analyzing voice content in the user voice, and determining the data to be answered based on the voice content.
Optionally, if the presence of the to-be-answered data is detected, the to-be-answered data is input into a database, the to-be-answered data is analyzed based on the database, and after the step of determining the corresponding reply data, the method further includes:
Determining a data field and a difficulty level corresponding to the data to be solved, and determining corresponding comprehensive data based on the data field and the difficulty level;
And associating the comprehensive data with the user identity corresponding to the user terminal, and feeding back the associated data to the education terminal corresponding to the user identity.
Optionally, the step of determining the corresponding user identity based on the face image and determining the corresponding user terminal based on the user identity includes:
determining an identity mark bound with the face image, and determining a user identity corresponding to the face image based on the identity mark;
And determining the equipment identifier associated with the user identity, and determining the user terminal corresponding to the user identity based on the equipment identifier.
Optionally, the step of determining corresponding motion data based on the acquisition device and determining a corresponding face image based on the motion data includes:
acquiring corresponding video data through the acquisition equipment, and detecting whether motion data for lifting hands or/and standing exists in the video data;
If the action data are detected to exist, face data corresponding to the action data are determined, face feature areas in the face data are intercepted, and the face image is determined.
Optionally, after the step of obtaining the learning data corresponding to the user terminal, determining corresponding reply data based on the learning data, and sending the reply data to the user terminal for remote tutoring, the method further includes:
Sending an inquiry command to the user terminal at intervals of preset duration, and detecting whether a reply command corresponding to the inquiry command is received or not;
if the reply instruction is detected to be received, detecting whether an instruction identifier in the reply instruction is matched with a preset identifier;
if the instruction identification is not matched with the preset identification, starting the voice to answer the voice corresponding to the reply data.
In addition, in order to achieve the above object, the present invention also provides a 5G technology-based remote coaching device, the 5G technology-based remote coaching device comprising:
The starting module is used for starting the acquisition equipment provided with the fifth-generation communication technology 5G communication module based on the request instruction after detecting the request instruction for starting the remote coaching;
The determining module is used for determining corresponding action data based on the acquisition equipment and determining corresponding face images based on the action data; determining a corresponding user identity based on the face image, and determining a corresponding user terminal based on the user identity;
The acquisition module is used for acquiring learning data corresponding to the user terminal;
the determining module is further configured to determine corresponding reply data based on the learning data;
And the coaching module is used for sending the reply data to the user terminal for remote coaching.
In addition, to achieve the above object, the present invention also provides a 5G technology-based remote coaching system, which includes a memory, a processor, and a 5G technology-based remote coaching program stored on the memory and running on the processor, the 5G technology-based remote coaching program implementing the steps of the 5G technology-based remote coaching method described above when completed by the processor.
In addition, in order to achieve the above object, the present invention also provides a computer-readable storage medium having stored thereon a 5G technology-based remote coaching program that, when completed by a processor, implements the steps of the 5G technology-based remote coaching method described above.
After a request instruction for starting remote coaching is detected, starting acquisition equipment provided with a 5G communication module based on the request instruction, determining corresponding action data based on the acquisition equipment, and determining corresponding face images based on the action data; determining a corresponding user identity based on the face image, and determining a corresponding user terminal based on the user identity; and acquiring learning data corresponding to the user terminal, determining corresponding reply data based on the learning data, and transmitting the reply data to the user terminal for remote coaching. Therefore, in the process of remote coaching, the invention rapidly collects the action data in real time through the collection equipment provided with the 5G communication module, then determines the corresponding face image based on the action data, determines the corresponding user identity based on the face image, determines the corresponding user terminal based on the user identity, then acquires the learning data corresponding to the user terminal, determines the corresponding reply data based on the learning data, and sends the reply data to the user terminal for remote coaching, thereby replying the learning data of the user terminal in real time, and further improving the learning efficiency.
Drawings
FIG. 1 is a schematic flow chart of a first embodiment of a 5G technology-based remote coaching method of the present invention;
FIG. 2 is a schematic diagram of a remote coaching device based on 5G technology according to the present invention;
FIG. 3 is a schematic diagram of a hardware operating environment according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The invention provides a 5G technology-based remote coaching method, and referring to FIG. 1, FIG. 1 is a flow chart of a first embodiment of the 5G technology-based remote coaching method.
Embodiments of the present invention provide embodiments of a 5G technology based remote coaching method, it being noted that although a logical sequence is shown in the flow chart, under certain data, the steps shown or described may be accomplished in a different order than that shown or described herein.
The remote coaching method based on the 5G technology comprises the following steps:
Step S10, after a request instruction for starting remote coaching is detected, starting acquisition equipment provided with a fifth-generation communication technology 5G communication module based on the request instruction, determining corresponding action data based on the acquisition equipment, and determining corresponding face images based on the action data.
After detecting a request instruction for starting remote coaching by the education terminal, the intelligent cloud server starts all acquisition equipment which is bound with the intelligent cloud server and is provided with a 5G (5 th Generation Wireless Systems, fifth generation mobile communication technology) communication module according to the request instruction, acquires user videos corresponding to the user terminal in real time through all the 5G acquisition equipment, then detects whether action data of preset action behaviors exist in the user videos in real time, and if the action data of the preset action behaviors exist in the user videos, the intelligent cloud server determines face images corresponding to the action data of the preset action behaviors.
The education terminal is an operation terminal corresponding to a teacher or a parent. The user terminal is the operation terminal corresponding to the student. The 5G communication module includes, but is not limited to, a 5G communication antenna module and a 5G wireless communication module. The acquisition equipment comprises an image acquisition module and a voice acquisition module, wherein the image acquisition module comprises, but is not limited to, a camera and a camera, and the voice acquisition module is an acquisition module with remote voice control. Preset action behaviors include, but are not limited to, hand lifting, standing, and mouth opening.
Further, the step S10 includes:
Step a, acquiring corresponding video data through the acquisition equipment, and detecting whether motion data for lifting hands or/and standing exists in the video data;
And b, if the existence of the action data is detected, determining face data corresponding to the action data, intercepting a face characteristic area in the face data, and determining the face image.
Specifically, the intelligent cloud server collects video data corresponding to a user terminal through an image collection module in collection equipment, then detects whether hand lifting or/and standing action data exist in the video data in real time, if the hand lifting or/and standing action data exist, the intelligent cloud server collects face data of a user corresponding to the hand lifting or/and standing through the image collection module, then detects face feature areas in the face data according to face attributes, and intercepts face feature area parts in the face data, so that face images of the user corresponding to the hand lifting or/and standing are obtained. Face attributes include, but are not limited to, eyes, nose, mouth, and face contours.
Step S20, corresponding user identities are determined based on the face images, and corresponding user terminals are determined based on the user identities.
Before the intelligent cloud server collects the video data of the users, each user needs to register the user identity in the corresponding user terminal and bind faces, and the intelligent cloud server stores the collected face images in a database of the intelligent cloud server or logs in the personal account number in the corresponding user terminal. After the face image of the user is determined, the intelligent cloud server analyzes the face features of the face image corresponding to the user, matches the face features of the user with the face images in the database, determines the corresponding user identity according to the matching result, and then determines the user identity to bind the user terminal according to the user identity.
It should be noted that, while the user registers the user identity, the user identity and the user face need to be bound. If the user has registered the user identity before, the user does not need to register again when the user terminal operates, and the user can directly log in the personal account. And when the user selects to exit the operation in the corresponding user terminal, the intelligent cloud server clears the user identity of the user.
Further, the step S20 includes:
Step c, determining an identity mark bound with the face image, and determining a user identity corresponding to the face image based on the identity mark;
and d, determining the equipment identifier associated with the user identity, and determining the user terminal corresponding to the user identity based on the equipment identifier.
Specifically, after the intelligent cloud server determines the face image of the user, determining the identity mark bound by the face image, determining the user identity corresponding to the identity mark in a database, identifying the identity ID (Identity Document, identity card identification number) corresponding to the user identity, determining the equipment identification associated with the identity ID, and finally determining the user terminal corresponding to the user identity through the equipment identification. Wherein the identity ID is unique, i.e. each user corresponds to a unique identity ID.
In this embodiment, for example, the ID associated with the user terminal C01 is user01, the user ID corresponding to the ID of the user01 is U01, the ID associated with the user terminal C02 is user02, the user ID corresponding to the ID of the user02 is U02, the ID associated with the user terminal C03 is user03, and the user ID corresponding to the ID of the user03 is U03. The intelligent cloud server determines that the user identity corresponding to the identity mark bound by the face image is U02, determines that the identity ID corresponding to the user is user02, and determines that the user terminal corresponding to the user identity is C02.
Step S30, learning data corresponding to the user terminal is obtained, corresponding reply data is determined based on the learning data, and the reply data is sent to the user terminal for remote coaching.
The intelligent cloud server acquires all learning data of a current page in the user terminal, then detects whether the learning data marked by the user exist in all learning data, acquires the learning data marked by the user, solves the marked learning data, determines reply data, and finally sends the reply data to the user terminal, thereby completing remote coaching of the user.
Further, the step S30 includes:
Step e, acquiring learning data corresponding to the user terminal, and detecting whether to-be-answered data exist in the learning data, wherein the to-be-answered data carry a preset mark;
And f, if the existence of the data to be answered is detected, inputting the data to be answered into a database, analyzing the data to be answered based on the database, and determining corresponding answer data.
Specifically, the intelligent cloud server acquires all learning data of a current page in the user terminal, detects whether learning data carrying a preset mark exists in all learning data, if so, determines the learning data carrying the preset mark as data to be answered, analyzes the data content of the data to be answered, inputs the data to be answered into a database of the intelligent cloud server, acquires a solution method, a solution idea and a solution step corresponding to the data to be answered in the database according to the data content of the data to be answered, and determines the solution method, the solution idea and the solution step corresponding to the data to be answered as answer data. Wherein the preset marks include, but are not limited to, triangles, squares, and circles.
Further, the remote coaching method based on the 5G technology further comprises the following steps:
Step g, if the fact that the data to be answered do not exist is detected, detecting whether user voice exists or not;
and h, if the user voice is detected to exist, collecting the user voice, analyzing voice content in the user voice, and determining the data to be answered based on the voice content.
Specifically, if the intelligent cloud server detects that the data to be answered carrying the preset mark does not exist, detecting whether user voice exists through a voice acquisition module in the acquisition equipment, if the user voice exists, acquiring the user voice through the voice acquisition module, analyzing voice content in the user voice, and determining the data to be answered of the user according to a result of analyzing the voice content.
After a request instruction for starting remote coaching is detected, starting acquisition equipment provided with a 5G communication module based on the request instruction, determining corresponding action data based on the acquisition equipment, and determining corresponding face images based on the action data; determining a corresponding user identity based on the face image, and determining a corresponding user terminal based on the user identity; and acquiring learning data corresponding to the user terminal, determining corresponding reply data based on the learning data, and transmitting the reply data to the user terminal for remote coaching. Therefore, in the process of remote coaching, the invention rapidly collects the action data in real time through the collection equipment provided with the 5G communication module, then determines the corresponding face image based on the action data, determines the corresponding user identity based on the face image, determines the corresponding user terminal based on the user identity, then acquires the learning data corresponding to the user terminal, determines the corresponding reply data based on the learning data, and sends the reply data to the user terminal for remote coaching, thereby replying the learning data of the user terminal in real time, and further improving the learning efficiency. Meanwhile, the reply data is obtained through database analysis, so that the result of the obtained reply data is more accurate and quicker, and the learning efficiency is better improved.
Further, a second embodiment of the remote coaching method according to the present invention is presented, based on 5G technology.
The second embodiment of the 5G technology-based remote coaching method differs from the first embodiment of the 5G technology-based remote coaching method in that the 5G technology-based remote coaching method further includes:
Step i, determining a data field and a difficulty level corresponding to the data to be solved, and determining corresponding comprehensive data based on the data field and the difficulty level;
and j, associating the comprehensive data with the user identity corresponding to the user terminal, and feeding back the associated data to the education terminal corresponding to the user identity.
Specifically, the intelligent cloud server determines the data field and the difficulty level corresponding to the data to be answered according to the data content of the data to be answered, then determines the comprehensive data corresponding to the data to be answered according to the data field and the difficulty level, analyzes the comprehensive capacity corresponding to the user according to the comprehensive data, generates a corresponding comprehensive capacity analysis chart according to the comprehensive capacity, associates the comprehensive capacity analysis chart with the user identity corresponding to the user terminal, and finally feeds the associated data back to the education terminal corresponding to the user identity.
According to the embodiment, the data field and the difficulty level corresponding to the data to be solved are determined, and the corresponding comprehensive data is determined based on the data field and the difficulty level; and associating the comprehensive data with the user identity corresponding to the user terminal, and feeding the associated data back to the education terminal corresponding to the user identity. Therefore, according to the method and the device, the comprehensive data corresponding to the data to be solved are determined through the data field and the difficulty level corresponding to the data to be solved, then the comprehensive capacity of the user is analyzed according to the comprehensive data, the identity of the user is associated, and finally the associated data are fed back to the education terminal, so that teachers or parents corresponding to the education terminal can know the comprehensive capacity of the user, a learning plan is formulated according to the comprehensive capacity, and learning efficiency is improved.
Further, a third embodiment of the remote coaching method according to the present invention is presented based on 5G technology.
The third embodiment of the 5G technology-based remote coaching method differs from the first or/and the second embodiment of the 5G technology-based remote coaching method in that the 5G technology-based remote coaching method further includes:
Step k, sending an inquiry command to the user terminal at intervals of preset time length, and detecting whether a reply command corresponding to the inquiry command is received or not;
Step l, if the reply instruction is detected to be received, detecting whether an instruction identifier in the reply instruction is matched with a preset identifier;
And m, if the instruction identification is not matched with the preset identification, starting voice to answer the voice corresponding to the reply data.
Specifically, the intelligent cloud server sends an inquiry command to the user terminal at intervals of preset time length, inquires whether the user understands reply data, finishes answering the data to be answered through the reply data, then detects whether the reply command corresponding to the inquiry command is received by the user, if the reply command is detected to be received, detects whether the command identification in the reply command is matched with the preset identification, if the command identification in the reply command is detected to be matched with the preset identification, the intelligent cloud server determines that the user already understands the reply data, determines that the user has completed answering the data to be answered, if the command identification in the reply command is detected to be not matched with the preset identification, the intelligent cloud server determines that the user does not understand the reply data, and starts voice response to answer the voice response data. If the reply instruction is not received, the inquiry instruction is sent to the user terminal again at intervals of preset duration. The preset duration is set according to the requirement, and the embodiment is not limited. The expression form of the preset mark can be Chinese, english, and if the Chinese is Yes or No, the English can be Yes or No, and the embodiment is not limited to the expression form of the preset mark.
In the embodiment, an inquiry command is sent to a user terminal through interval preset time length, and whether a reply command corresponding to the inquiry command is received or not is detected; if the reply command is detected to be received, detecting whether the command identifier in the reply command is matched with a preset identifier; if the instruction identification is not matched with the preset identification, starting the voice corresponding reply data to perform voice answering. Therefore, the embodiment determines the corresponding reply instruction according to the inquiry instruction, then determines the understanding of the user to the reply data according to the instruction identification in the reply instruction, and then solves the user in different modes, so that the grasping degree of the user to the reply data can be determined in real time, and different coaching is performed for the users with different grasping degrees, thereby improving the learning efficiency.
In addition, the invention also provides a remote coaching device based on the 5G technology, referring to fig. 2, the remote coaching device based on the 5G technology comprises:
the starting module 10 is used for starting the acquisition equipment provided with the fifth-generation communication technology 5G communication module based on the request instruction after detecting the request instruction for starting the remote coaching;
A determining module 20, configured to determine corresponding motion data based on the acquisition device, and determine a corresponding face image based on the motion data; determining a corresponding user identity based on the face image, and determining a corresponding user terminal based on the user identity;
An obtaining module 30, configured to obtain learning data corresponding to the user terminal;
The determining module 20 is further configured to determine corresponding reply data based on the learning data;
And the tutoring module 40 is used for sending the reply data to the user terminal for remote tutoring.
Further, the obtaining module 30 is further configured to obtain learning data corresponding to the user terminal.
Further, the determining module 20 includes:
The detection unit is used for detecting whether data to be answered exist in the learning data, wherein the data to be answered carries a preset mark;
the input unit is used for inputting the data to be answered into a database if the data to be answered is detected to exist;
And the analysis unit is used for analyzing the data to be answered based on the database and determining corresponding answer data.
Further, the remote coaching device based on 5G technology further includes:
the first detection module is used for detecting whether the user voice exists or not if the fact that the data to be solved do not exist is detected;
The acquisition module is used for acquiring the user voice if the user voice is detected to exist;
the analysis module is used for analyzing the voice content in the voice of the user;
The determining module 20 is further configured to determine the data to be solved based on the voice content; determining a data field and a difficulty level corresponding to the data to be solved, and determining corresponding comprehensive data based on the data field and the difficulty level;
the association module is used for associating the comprehensive data with the user identity corresponding to the user terminal;
And the feedback module is used for feeding the associated data back to the education terminal corresponding to the user identity.
Further, the determining module 20 is further configured to determine an identity identifier bound to the face image, and determine a user identity corresponding to the face image based on the identity identifier; and determining the equipment identifier associated with the user identity, and determining the user terminal corresponding to the user identity based on the equipment identifier.
Further, the acquisition module is further used for acquiring corresponding video data through the acquisition equipment;
The first detection module is also used for detecting whether motion data of lifting hands or/and standing exists in the video data;
the determining module 20 is further configured to determine face data corresponding to the motion data if the presence of the motion data is detected;
Further, the determining module 20 further includes:
the intercepting unit is used for intercepting the face characteristic area in the face data and determining the face image.
Further, the remote coaching device based on 5G technology further includes:
The sending module is used for sending an inquiry command to the user terminal at intervals of preset duration;
The second detection module is used for detecting whether a reply instruction corresponding to the inquiry instruction is received or not; if the reply instruction is detected to be received, detecting whether an instruction identifier in the reply instruction is matched with a preset identifier;
the starting module 10 is further configured to, if the instruction identifier is detected not to match the preset identifier, start voice to perform voice answering corresponding to the reply data.
The specific implementation manner of the remote coaching device based on the 5G technology is basically the same as the above embodiments of the remote coaching method based on the 5G technology, and will not be repeated here.
In addition, the invention also provides a remote coaching system based on the 5G technology. As shown in fig. 3, fig. 3 is a schematic structural diagram of a hardware running environment according to an embodiment of the present invention.
It should be noted that fig. 3 may be a schematic structural diagram of a hardware operating environment of the remote coaching system based on the 5G technology.
As shown in fig. 3, the 5G technology-based remote coaching system may include: a processor 1001, such as a CPU (Central Processing Unit ), a memory 1005, a user interface 1003, a network interface 1004, a communication bus 1002. The communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display (Display), an input unit such as a keyboard (board), and the optional user interface 1003 may further include a standard wired interface (e.g., USB (Universal Serial Bus, universal serial bus) interface), a wireless interface (e.g., bluetooth interface). The network interface 1004 may optionally include a standard wired interface, a Wireless interface, such as a WI-FI (Wireless-Fidelity) interface. The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
Optionally, the 5G technology based remote coaching system can also include RF (Radio Frequency) circuitry, sensors, wiFi modules, and the like.
Those skilled in the art will appreciate that the 5G technology based remote coaching system architecture shown in fig. 3 is not limiting of the 5G technology based remote coaching system and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
As shown in fig. 3, an operating device, a network communication module, a user interface module, and a remote coaching program based on 5G technology may be included in a memory 1005 as one type of computer storage medium. The operating device is a program for managing and controlling the hardware and software resources of the remote coaching system based on the 5G technology, and supports the operation of the remote coaching program and other software or programs based on the 5G technology.
In the 5G technology-based remote coaching system shown in the figure, the user interface 1003 is mainly used for educational terminals or/and user terminals to receive or transmit data or/and instructions; the network interface 1004 is mainly used for an intelligent cloud server to receive a request instruction of the education terminal, receive data to be answered of the user terminal, send answer data to the user terminal and feed back comprehensive data to the education terminal; processor 1001 may be configured to invoke the 5G technology-based remote coaching program stored in memory 1005 and perform the steps of the control method of the 5G technology-based remote coaching system described above.
The specific implementation manner of the remote coaching system based on the 5G technology is basically the same as the above embodiments of the remote coaching method based on the 5G technology, and will not be repeated here.
In addition, the embodiment of the invention also provides a computer readable storage medium, wherein the computer readable storage medium is stored with a remote coaching program based on the 5G technology, and the remote coaching program based on the 5G technology realizes the steps of the remote coaching method based on the 5G technology when being completed by a processor.
The specific implementation manner of the computer readable storage medium of the present invention is basically the same as the above embodiments of the remote coaching method based on the 5G technology, and will not be described herein.
It should be noted that, in the application, the collection and use of the face data meet the regulations of the national relevant laws and regulations.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above embodiment method may be implemented by means of software plus necessary general hardware platform, or of course by means of hardware, but the former is a preferred embodiment under many data. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of software goods stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising several instructions for causing a 5G technology based remote coaching system to perform the method according to the embodiments of the present invention.

Claims (7)

1. The remote coaching method based on the 5G technology is characterized by comprising the following steps of:
After a request instruction for starting remote coaching is detected, starting acquisition equipment provided with a fifth-generation communication technology 5G communication module based on the request instruction, determining corresponding action data based on the acquisition equipment, and determining corresponding face images based on the action data;
Determining a corresponding user identity based on the face image, and determining a corresponding user terminal based on the user identity;
acquiring learning data corresponding to the user terminal, determining corresponding reply data based on the learning data, and transmitting the reply data to the user terminal for remote coaching;
the step of obtaining learning data corresponding to the user terminal and determining corresponding reply data based on the learning data comprises the following steps:
acquiring learning data corresponding to the user terminal, and detecting whether data to be answered exist in the learning data, wherein the data to be answered carries a preset mark;
if the data to be answered is detected to exist, inputting the data to be answered into a database, analyzing the data to be answered based on the database, and determining corresponding answer data;
If the presence of the data to be answered is detected, the data to be answered is input into a database, the data to be answered is analyzed based on the database, and after the step of determining the corresponding answer data, the method further comprises the steps of:
Determining a data field and a difficulty level corresponding to the data to be solved, and determining corresponding comprehensive data based on the data field and the difficulty level; wherein the comprehensive data is used for analyzing the comprehensive capability of the user;
correlating the comprehensive data with the user identity corresponding to the user terminal, and feeding back the correlated data to the education terminal corresponding to the user identity;
the step of obtaining the learning data corresponding to the user terminal, determining corresponding reply data based on the learning data, and sending the reply data to the user terminal for remote coaching further comprises the steps of:
Sending an inquiry command to the user terminal at intervals of preset duration, and detecting whether a reply command corresponding to the inquiry command is received or not;
if the reply instruction is detected to be received, detecting whether an instruction identifier in the reply instruction is matched with a preset identifier;
if the instruction identification is not matched with the preset identification, starting the voice to answer the voice corresponding to the reply data.
2. The remote coaching method based on 5G technology as claimed in claim 1, wherein the steps of obtaining learning data corresponding to the user terminal, and detecting whether there is data to be answered in the learning data, where the data to be answered carries a preset flag, further include:
If the fact that the data to be solved do not exist is detected, detecting whether user voice exists or not;
and if the user voice is detected to exist, acquiring the user voice, analyzing voice content in the user voice, and determining the data to be answered based on the voice content.
3. The 5G technology-based remote coaching method according to claim 1, wherein the step of determining a corresponding user identity based on the face image and determining a corresponding user terminal based on the user identity comprises:
determining an identity mark bound with the face image, and determining a user identity corresponding to the face image based on the identity mark;
And determining the equipment identifier associated with the user identity, and determining the user terminal corresponding to the user identity based on the equipment identifier.
4. The 5G technology-based remote coaching method according to claim 1, wherein the step of determining corresponding motion data based on the capture device and determining a corresponding face image based on the motion data includes:
acquiring corresponding video data through the acquisition equipment, and detecting whether motion data for lifting hands or/and standing exists in the video data;
If the action data are detected to exist, face data corresponding to the action data are determined, face feature areas in the face data are intercepted, and the face image is determined.
5. A 5G technology-based remote coaching device, the 5G technology-based remote coaching device comprising:
The starting module is used for starting the acquisition equipment provided with the fifth-generation communication technology 5G communication module based on the request instruction after detecting the request instruction for starting the remote coaching;
The determining module is used for determining corresponding action data based on the acquisition equipment and determining corresponding face images based on the action data; determining a corresponding user identity based on the face image, and determining a corresponding user terminal based on the user identity;
the acquisition module is used for acquiring learning data corresponding to the user terminal, and comprises the following steps: acquiring learning data corresponding to the user terminal, and detecting whether data to be answered exist in the learning data, wherein the data to be answered carries a preset mark;
The determining module is further configured to determine corresponding reply data based on the learning data, including: inputting the data to be answered into a database if the data to be answered is detected to exist, analyzing the data to be answered based on the database, and determining corresponding answer data;
the coaching module is used for sending the reply data to the user terminal for remote coaching;
Wherein the determining module is further configured to: determining a data field and a difficulty level corresponding to the data to be solved, and determining corresponding comprehensive data based on the data field and the difficulty level; wherein the comprehensive data is used for analyzing the comprehensive capability of the user;
correlating the comprehensive data with the user identity corresponding to the user terminal, and feeding back the correlated data to the education terminal corresponding to the user identity;
Wherein the determining module is further configured to:
Sending an inquiry command to the user terminal at intervals of preset duration, and detecting whether a reply command corresponding to the inquiry command is received or not;
if the reply instruction is detected to be received, detecting whether an instruction identifier in the reply instruction is matched with a preset identifier;
if the instruction identification is not matched with the preset identification, starting the voice to answer the voice corresponding to the reply data.
6. A 5G technology based remote coaching system comprising a memory, a processor, and a 5G technology based remote coaching program stored on the memory and running on the processor, the 5G technology based remote coaching program implementing the steps of the 5G technology based remote coaching method according to any one of claims 1 to 4 when completed by the processor.
7. A computer readable storage medium, wherein a 5G technology based remote coaching program is stored on the computer readable storage medium, which when completed by a processor implements the steps of the 5G technology based remote coaching method according to any of claims 1 to 4.
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