CN111787264B - Question asking method and device for remote teaching, question asking terminal and readable medium - Google Patents

Question asking method and device for remote teaching, question asking terminal and readable medium Download PDF

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CN111787264B
CN111787264B CN202010714405.7A CN202010714405A CN111787264B CN 111787264 B CN111787264 B CN 111787264B CN 202010714405 A CN202010714405 A CN 202010714405A CN 111787264 B CN111787264 B CN 111787264B
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questioning
questioner
current
question
voice
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CN111787264A (en
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李旭诚
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Beijing ByteDance Network Technology Co Ltd
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Beijing ByteDance Network Technology Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/14—Systems for two-way working
    • H04N7/141—Systems for two-way working between two video terminals, e.g. videophone
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B5/00—Electrically-operated educational appliances
    • G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B5/00—Electrically-operated educational appliances
    • G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
    • G09B5/14—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications

Abstract

The embodiment of the disclosure discloses a question asking method and device for remote teaching, a question asking terminal and a readable medium. Wherein, the method comprises the following steps: determining the current intention of a questioner at least according to the limb action currently operated by the questioner; and if the current intention is a questioning intention, identifying the questioning content of the questioning party pointing to the current teaching material. The technical scheme that this disclosure embodiment provided realizes the accurate discernment of questioning intention under the remote teaching, prevents to appear in the remote teaching in-process that the question that causes is discerned by mistake or is discerned the problem of omitting by asking when adopting single pronunciation to realize the accurate questioning under the remote teaching, avoid the wrong interference of questioning among the remote teaching process and the question is omitted, thereby guarantee the comprehensiveness and the accuracy of questioning under the remote teaching, further promote the remote teaching quality.

Description

Question asking method and device for remote teaching, question asking terminal and readable medium
Technical Field
The embodiment of the disclosure relates to the technical field of remote teaching, in particular to a question asking method and device for remote teaching, a question asking terminal and a readable medium.
Background
With the rapid development of the internet technology, in order to improve the convenience of knowledge acquisition approaches, the way of remote teaching by using a remote communication network has been gradually popularized, and at the moment, a teacher is required to timely answer the explanation questions of students in a remote teaching scene so as to ensure the quality of remote teaching.
Currently, in an existing remote teaching system, a student end usually judges whether a questioning intention exists at present through a voice signal acquired by a microphone, and after the questioning intention exists, the student end acquires hand images to determine questioning contents pointed by the student, and then reports the questioning contents to a teacher end; at this moment, if the pronunciation of student end is comparatively mixed and disorderly, then can have the phenomenon of misrecognition or neglected recognition when discerning the intention of asking a question, and the misrecognition can cause teleeducation's interference, and neglected recognition can cause the omission of student's question, and then influence teleeducation quality.
Disclosure of Invention
In view of this, the disclosed embodiments provide a question asking method, a question asking device, a question asking terminal and a readable medium for remote teaching, so as to implement accurate question asking under remote teaching, avoid false interference and question omission in the remote teaching process, and ensure comprehensiveness and accuracy of question asking under remote teaching.
In a first aspect, an embodiment of the present disclosure provides a question asking method for remote teaching, where the method includes:
determining the current intention of a questioner at least according to the limb action currently operated by the questioner;
and if the current intention is a questioning intention, identifying the questioning content of the questioning party pointing to the current teaching material.
In a second aspect, an embodiment of the present disclosure provides a question asking device for remote teaching, including:
the intention determining module is used for determining the current intention of the questioner at least according to the limb action currently operated by the questioner;
and the questioning content identification module is used for identifying the questioning content of the questioning party pointing to the current teaching material if the current intention is the questioning intention.
In a third aspect, an embodiment of the present disclosure further provides a question terminal, where the question terminal includes:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method of questioning remote teaching as described in any of the embodiments of the present disclosure.
In a fourth aspect, an embodiment of the present disclosure provides a question asking system for remote teaching, including: the question terminal provided in the third aspect, and the audio module, the first camera module and the second camera module which are respectively in communication connection with the question terminal;
the audio module is used for acquiring the current input voice of a questioner in real time;
the first camera module is arranged to face the front of the questioner and is used for shooting an arm action image of the questioner;
the second camera module is arranged to face the current teaching material pointed by the questioning party and is used for shooting a hand pointing image of the questioning party pointing to the current teaching material.
In a fifth aspect, embodiments of the present disclosure provide a readable medium, on which a computer program is stored, which when executed by a processor, implements a question asking method of remote teaching as described in any of the embodiments of the present disclosure.
According to the question method, the question device, the question terminal and the readable medium for remote teaching provided by the embodiment of the disclosure, the current intention of the questioner is determined at least according to the limb action currently operated by the questioner, so that whether the current intention of the questioner is the question intention is judged, the question of question error identification or question identification omission caused by adopting a single voice judgment mode in the remote teaching process is prevented, the question content pointing to the current teaching material of the questioner is directly identified when the current intention is the question intention, the accurate question under the remote teaching is realized, the question error interference and the question omission in the remote teaching process are avoided, the comprehensiveness and the accuracy of the question under the remote teaching are ensured, and the remote teaching quality is further improved.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
FIG. 1 is a schematic block diagram illustrating a questioning system for remote teaching according to an embodiment of the present disclosure;
FIG. 2 is a flow chart illustrating a questioning method for remote teaching according to an embodiment of the present disclosure;
FIG. 3 is a flow chart illustrating the method for obtaining the current input voice of the questioner and the corresponding body movement according to the embodiment of the present disclosure;
FIG. 4 is a flow chart illustrating a questioning method of another remote teaching provided by the embodiments of the present disclosure;
fig. 5 is a schematic structural diagram of a questioning device for remote teaching provided in an embodiment of the present disclosure;
fig. 6 shows a schematic structural diagram of a question terminal provided in an embodiment of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between multiple parties in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
Fig. 1 is a schematic architecture diagram of a question asking system for distance teaching provided by an embodiment of the present disclosure. The embodiment of the disclosure is applicable to the teaching content questioning scene where any questioner in the remote teaching system is located. Specifically, as shown in fig. 1, the question asking system for remote teaching provided in the embodiment of the present disclosure may include: the questioning terminal 10, and the audio module 20, the first camera module 30 and the second camera module 40 which are respectively connected with the questioning terminal 10 in a communication manner.
The questioner in the remote teaching system may learn by watching an online teaching course of an answerer, and the terminal device used by the questioner for online teaching course learning may be the questioning terminal 10 in the embodiment of the present disclosure, for example, an intelligent terminal such as a mobile phone, a tablet or a Personal Digital Assistant (PDA) used by the questioner for online teaching course learning.
Meanwhile, the audio module 20 may be used to collect the current input voice of the questioner in real time; the first camera module 30 may be disposed to face the front of the questioner, and is configured to capture an arm movement image of the questioner; the second camera module 40 may be configured to be oriented to the current teaching material pointed by the questioning party, and is configured to capture a hand-pointed image of the questioning party pointing to the current teaching material.
Specifically, in the remote teaching process, if the questioner has a question about the content of the current explanation in the online teaching course of the answerer, the questioning system of the remote teaching provided by the embodiment of the present disclosure supports the questioner to ask the answerer at any time, so that the questioner can also execute a natural questioning action in the remote teaching scene, and avoid an additional online interaction step when questioning in the remote teaching scene, firstly, an audio module 20 is set, the audio module 20 collects the current input voice sent by the questioner to the current explanation course in real time in the remote teaching process, and at this time, the current input voice may be the question voice initiated by the questioner when questioning the content of the current explanation.
However, if the voices in the environment where the questioner is located are relatively cluttered, it cannot be accurately judged whether the current speaking and solution content of the questioner has a question only through the current input voice, and false recognition or missed recognition of the question under remote teaching is easily caused, so that in order to avoid the problem of false recognition of the question or missed recognition of the question caused by adopting a single voice judgment mode, on the basis of the audio module 20, a corresponding camera module is additionally arranged to shoot the limb actions synchronously executed when the questioner sends the current input voice, and subsequently, through the current input voice and the corresponding limb actions, it is jointly judged whether the current speaking and solution content of the questioner has a question and ask the question. However, when the questioner is asking whether the content is answered, the issued current input voice may carry the direction information of the corresponding questioning content, for example, the current input voice is "how to ask for a question", or may not carry any information related to the specific questioning content, for example, the current input voice is "i have a question", at this time, in order to ensure the accuracy of question recognition under remote teaching, the embodiment of the present disclosure may further set the corresponding first camera module 30 and the second camera module 40 respectively for different voice categories to which the current input voice belongs, at this time, the first camera module 30 may be set to face the front side of the questioner for shooting the arm motion image of the questioner to determine whether the questioner takes the action of "raising a hand and asking" or not, and the second camera module 40 may be set to face the current teaching material pointed by the questioner, the camera module is used for shooting a hand pointing image of a questioner pointing to the current teaching material to acquire questioning contents of which the questioner pointing to the current teaching material has a question, and as shown in fig. 1, the first camera module 30 and the second camera module 40 are set in different directions.
At this time, the current intention of the questioner may be analyzed by at least determining the limb movement currently operated by the questioner through the limb movement image acquired by the first camera module 30 or the second camera module 40, or, if the current input voice carries the direction information of the corresponding questioning content, it is determined whether the questioner has the limb movement referred to when the questioner intends to be questioned, which may be the gesture direction movement in the hand direction image of the questioner directed to the current teaching material, which is shot by the second camera module 40, and if the current input voice does not carry any information related to the specific questioning content, it is determined whether the questioner has the limb movement referred to when the questioner intends to be questioned, which may be the hand-raising action in the arm movement image of the questioner shot by the first camera module 30.
It should be noted that, in the embodiments of the present disclosure, for different categories to which voices of current input voices belong, body actions referred to when determining a question intention of a question asking party are also different, so that accuracy of question asking recognition under remote teaching is ensured.
The question asking method of the remote teaching specifically executed by the question asking terminal 10 according to the embodiment of the present disclosure will be described in detail in the following embodiments.
Fig. 2 shows a flowchart of a question asking method for remote teaching according to an embodiment of the present disclosure, which is applicable to a question asking scene of teaching contents where any questioner in a remote teaching system is located. The question asking method for remote teaching provided by the embodiment of the disclosure can be executed by the question asking device for remote teaching provided by the embodiment of the disclosure, the device can be realized in a software and/or hardware mode, and is integrated in a question asking terminal for executing the method, and the question asking terminal for executing the method in the embodiment can be an intelligent terminal such as a mobile phone, a tablet or a PDA.
Specifically, as shown in fig. 2, the question asking method for remote teaching provided in the embodiment of the present disclosure may include the following steps:
s210, determining the current intention of the questioner according to at least the limb action currently operated by the questioner.
Specifically, there may be an answerer and a plurality of questioners in the remote teaching system, each questioner may watch an on-line teaching course of the answerer for the current teaching material on the prompting terminal where the answerer is located, so as to perform remote learning, at this time, in the remote teaching process, if the questioner has a question for the content of the current explanation, the questioner needs to issue a question to the answerer, and at the same time, in order to avoid an additional on-line interaction step when performing remote questioning, the questioner's question process in this embodiment is required to simulate a natural question process in a classroom as much as possible, so as to improve the adaptation degree of the questioner to the remote questioning.
Optionally, in the prior art, it is usually determined whether a questioning party has a questioning requirement by collecting voice information of the questioning party, but if the voice of the questioning party is relatively noisy, it cannot be accurately determined whether the current talkback solution content of the questioning party has a question only by the currently input voice, which easily causes false recognition or missed recognition of the questioning under the remote teaching, so as to avoid problems of false recognition of the questioning or missed recognition of the questioning, which are caused by adopting a single voice determination method, in this embodiment, an image of a limb action operated by the questioning party displayed in the remote teaching process is collected in real time by a first camera module or a second camera module pre-configured in a terminal where the questioning party is located, and an image recognition algorithm is subsequently adopted to recognize the collected image, so as to determine the limb action currently operated by the questioning party in the remote teaching process, which is represented in the image, and further analyzing the meaning represented by the limb action to determine the current intention of the questioner, for example, if the current operation of 'raise hands and ask questions' action by the questioner is detected, determining that the current intention of the questioner is the questioning intention.
For example, in order to further improve the accuracy of the questioner intention judgment, in this embodiment, the determining the current intention of the questioner according to at least the limb movement currently operated by the questioner may specifically include: and determining the current intention of the questioner according to the current input voice of the questioner and the limb actions under the category to which the voice of the current input voice belongs.
At this time, because the questioner usually directly issues the corresponding questioning voice when questioning the question content in the actual classroom, and executes the body action matched with the questioning voice, for example, when the questioning voice issued by the questioner is "how to ask for a question", the finger will directly point to the specific question in the teaching material, and when the questioning voice issued by the questioner is "i have a question", the action of "asking for a question" will be made to indicate that the questioner has a question, and then the action of "asking for a question" will point to the specific question in the teaching material after the questioner asks, therefore, in order to realize the real simulation of the natural questioning process from the questioning process in the remote teaching to the actual classroom, the present input voice issued by the questioner needs to be detected in real time at the questioning terminal where each questioner is located, and simultaneously, correspondingly executed body actions are detected, and then whether each questioner sends a question or not is jointly detected by adopting the matching between the current input voice and the corresponding body actions, so that the accuracy of question detection under remote teaching is improved.
Specifically, after the current input voice sent by the questioning party is acquired, because the questioning party executes different body motions when sending voices of different categories, the present embodiment first determines the category to which the voice of the current input voice belongs by analyzing whether the current input voice carries the direction information of the corresponding question content, and then, in order to ensure the accuracy of question recognition under remote teaching, finds out the body motion of the questioning party in the category to which the voice of the current input voice belongs from all the body motions made by the currently detected questioning party, if the current input voice carries the direction information of the corresponding question content, for example, if the current input voice is "how to do the question", the body motion of the voice in the category to which the voice belongs may be the hand direction motion of the questioning party to the current teaching material, and if the current input voice does not carry any information related to the specific question content, for example, the current input voice is "i have a question", and the body action under the category to which the voice belongs can be the action of "raising hands and asking questions" made by a questioner; then, the current input voice of the questioning party and the user intention represented by the limb action are jointly analyzed to be used as the current intention of the questioning party, namely, whether the questioning party sends a question at present is jointly judged by combining the current input voice of the questioning party and the limb action, so that the accurate identification of the questioning intention under remote teaching is realized, and the problems of questioning error identification or questioning identification omission caused by adopting a single voice judgment mode in the remote teaching process are prevented.
S220, if the current intention is the question intention, identifying the question content of the current teaching material pointed by the question.
Optionally, after the current intention of the questioner is determined, if the current intention is a questioning intention, it is indicated that the questioner has a question for the explanation content in the current teaching material, at this time, it is required to determine the specific content of the questioner having a question in the current teaching material, and the questioner points to the content of the current question through a finger in the current teaching material.
According to the technical scheme provided by the embodiment of the disclosure, the current intention of the questioner is determined at least according to the limb action of the current operation of the questioner, whether the current intention of the questioner is the questioning intention is judged, so that the accurate identification of the questioning intention under remote teaching is realized, the problems of questioning false identification or questioning identification omission caused by adopting a single voice judgment mode in the remote teaching process are prevented, the questioning content of the questioner pointing to the current teaching material is directly identified when the current intention is the questioning intention, the accurate questioning under remote teaching is realized, the questioning false interference and the questioning omission in the remote teaching process are avoided, the comprehensiveness and the accuracy of questioning under remote teaching are ensured, and the remote teaching quality is further improved.
On the basis of the technical solution provided by the above embodiment, a specific acquisition process of the current input voice of the questioning party and the limb movement under the category to which the voice of the current input voice belongs in the questioning method of remote teaching provided by the embodiment of the present disclosure is further explained. Specifically, as shown in fig. 3, before determining the current intention of the questioner according to the current input speech of the questioner and the body movement under the category to which the speech of the current input speech belongs, the following steps may be further included:
s310, current input voice collected by a preset audio module facing the questioner in real time is obtained, and the category of the corresponding voice is determined according to the voice content of the current input voice.
Optionally, in order to accurately acquire the voice input by the questioning party in the remote teaching process, in this embodiment, a corresponding audio module, such as a microphone, is additionally arranged in the questioning terminal in advance, so as to collect the voice sent by the questioning party in real time in the remote teaching process, at this time, the preset audio module sends the current input voice acquired in real time by the questioning party to the questioning terminal, after the questioning terminal acquires the current input voice of the questioning party, the audio signal of the current input voice is identified by using the existing Natural Language Processing (NLP) technology, so as to determine the voice content represented by the current input voice, and thus the category to which the voice of the current input voice belongs is determined by judging whether the voice content carries the directional information of the corresponding questioning content, so as to subsequently determine the body action made by the questioning party under the category to which the voice belongs, whether the current intention of the questioner is the questioning intention is jointly judged, so that the accuracy of questioning recognition under remote teaching is improved.
And S320, acquiring a corresponding limb image through a target camera module preset under the voice belonging category, identifying the limb image, and determining the limb action of the questioner under the voice belonging category.
Optionally, in order to accurately detect the body movement made by the questioning party in the remote teaching process, in this embodiment, a corresponding camera module is additionally arranged in the questioning terminal in advance to shoot a body image executed by the questioning party correspondingly, and the body image is processed by using the existing image recognition technology, so as to determine the body movement made by the questioning party; however, since the types of voices of the questioning party emitting the current input voice are different, the body motions referred to when the questioning party determines whether the current intention of the questioning party is the questioning intention are also different, at this time, in this embodiment, different camera modules are respectively set in advance for the different types of voices to which the questioning terminal belongs, for example, a first camera module set toward the front of the questioning party, at this time, the first camera module can shoot an arm motion image of the questioning party, so that when the current input voice does not carry any information related to specific questioning contents, it is determined whether the questioning party performs a "hand raising and questioning" motion through the arm motion image, and a second camera module set toward the current teaching material pointed by the questioning party is set, at this time, the second camera module can shoot a hand pointing image pointing to the current teaching material of the questioning party, so that when the current input voice carries the pointing information of the corresponding questioning contents, the questioning content in which the questioner has a question can be identified from the hand pointing image in which the questioner points to the current teaching material.
It can be understood that, in this embodiment, after determining the category to which the voice of the current input voice belongs, a target camera module set under the category to which the voice belongs may be screened out from the first camera module and the second camera module, for example, if the current input voice does not carry information related to specific question contents, the target camera module is the first camera module, and further obtains an arm motion image of a question asking party, which is used as a limb image in this embodiment, and if the current input voice carries direction information of corresponding question contents, the target camera module is the second camera module, and further obtains a hand direction image of the question asking party pointing to the current teaching material, which is used as a limb image in this embodiment, so as to process the limb image shot by the target camera module through the existing image recognition technology, and recognizing the body action of the questioning party under the category to which the voice of the current input voice belongs, so as to determine the current intention of the questioning party by performing combined analysis on the current input voice of the questioning party and the body action under the category to which the voice of the current input voice belongs.
In addition, since the question contents of the questioner pointing to the current teaching material need to be identified when the current intention of the questioner is determined as the questioning intention, and if there is no questioner's hand-pointing motion in the body motion under the category to which the voice of the currently input voice belongs, it means that the currently input voice does not carry information related to the specific question content, and the body action under the category to which the voice of the currently input voice belongs is the action of 'raising hands and asking questions' made by the questioner, therefore, in order to accurately identify the question content of the questioning party pointing to the current teaching material, it is necessary to further determine the hand pointing motion of the questioning party pointing to the current teaching material, at this time, before identifying the question content of the questioning party pointing to the current teaching material, if the hand pointing motion of the questioning party does not exist in the limb motions in the category to which the voice belongs, a corresponding questioning pointing prompt can be initiated to the questioning party; at the moment, the question pointing prompt can be displayed to the questioner in a pop-up window mode, so that the questioner can timely perform an action of pointing to the content with questions in the current teaching material by fingers, the questioner can be prompted to accurately identify the question content of the questioner pointing to the current teaching material, the comprehensiveness and the accuracy of the questions under remote teaching are guaranteed, and the remote teaching quality is further improved.
Fig. 4 shows a flowchart of another question asking method for distance teaching provided by the embodiment of the present disclosure, which is optimized based on the alternatives provided by the above embodiments. Specifically, the present embodiment mainly introduces the current intention of the questioner and the specific determination process of the questioning content of the questioner pointing to the current teaching material in detail.
Optionally, as shown in fig. 4, the method in this embodiment may include the following steps:
and S410, determining a corresponding first question confidence according to the voice content and the voice definition of the current input voice.
Optionally, when the current input voice of the questioning party and the body movement of the questioning party under the category to which the voice of the current input voice belongs are comprehensively analyzed to determine whether the current intention of the questioning party is a questioning intention, since it can be determined whether the current intention of the questioning party is a questioning intention through a single current input voice and a single body movement, and only corresponding degrees of reliability are different, the present embodiment may analyze a final determination result by referring to the degrees of reliability of whether the current input voice of the questioning party and the corresponding body movement are determined to be questioning intentions respectively.
Therefore, after the current input voice of the questioning party is obtained, the voice content of the current input voice can be determined by adopting the NLP technology, meanwhile, the voice definition used for measuring the intelligibility degree of the voice of the questioning party in the current input voice is analyzed to judge the accuracy degree of the voice content of the current input voice, and then whether the voice content accurately indicates that the questioning party has questions is judged through the voice definition so as to determine the corresponding first questioning confidence coefficient. In this embodiment, if the voice content of the current input voice contains the content of the questioning party with question, and the voice content is clearer, the first question confidence is higher, that is, if the current input voice of the questioning party can clearly and definitely indicate that the questioning party has question for the current teaching material, the higher the first question confidence is set, the more the current intention of the questioning party is represented as the question intention.
And S420, determining a corresponding second question confidence according to the recognition accuracy of the lower limb body action of the category to which the voice of the currently input voice belongs.
Optionally, after the current input voice of the questioning party is acquired, the category to which the voice of the current input voice belongs is determined by determining whether the voice content of the current input voice carries the pointing information of the corresponding questioning content, and then the body action made by the questioning party under the category to which the voice belongs, such as a "hand-raising questioning" action or a gesture pointing action, is identified, at this time, according to the identified specific body action and the identification accuracy of the body action, a second questioning confidence that whether the current intention of the questioning party is judged by a single body action is a questioning intention can be determined, at this time, the higher the accuracy of the body action represented as the "hand-raising questioning" action or the gesture pointing action is, the more likely the questioning party is to issue a question, and therefore the higher the second questioning confidence is.
And S430, fusing the first question confidence coefficient and the second question confidence coefficient, and judging whether the current intention of the questioner is a question intention.
Optionally, after determining whether the current intention of the questioner is a questioning intention through a single current input voice or a corresponding body action, and determining a corresponding first questioning confidence and a second questioning confidence, performing fusion analysis on the first questioning confidence and the second questioning confidence, for example, performing weighted summation on the first questioning confidence and the second questioning confidence, where a weight corresponding to the body action is lower than a weight corresponding to the current input voice, so as to obtain a final questioning confidence, and at this time, determining whether the current intention of the questioner is a questioning intention by determining whether the final questioning confidence is higher than a preset questioning threshold, and when the final questioning confidence is higher than the questioning threshold, determining that the current intention of the questioner is a questioning intention.
S440, if the current intention is a question intention, acquiring a hand pointing image of the question side pointing to the current teaching material, and identifying the question content pointed in the hand pointing image.
Optionally, after determining that the current intention of the questioner is a questioning intention, the questioner is required to indicate a specific questioning content in the current teaching material, so that a hand-pointing image of the questioner pointing to the current teaching material may be first obtained, for example, a second camera module is set in advance in the questioning terminal toward the current teaching material pointed by the questioner, the hand-pointing image is captured and sent to the questioning terminal, the questioning terminal determines a pointed content area in the hand-pointing image, and identifies an image of the content area by using an existing image identification technology, so as to determine a questioning content of the questioner pointing to the current teaching material, and ensure accuracy of identification of the questioning content.
S450, the identity information and the questioning content of the questioning party are reported to the questioning party.
Optionally, in order to ensure that the questioning party can answer the questions of the questioning party in time, after the questioning terminal identifies the questioning content of the questioning party pointing to the current teaching material, the identity information of the questioning party and the identified specific questioning content of the questioning party pointing to the current teaching material are reported to the questioning party, and the questioning party answers the questioning party according to the specific questioning content reported this time, so that the remote teaching quality is further improved.
According to the technical scheme provided by the embodiment of the disclosure, whether the current intention of the questioner is the questioning intention is judged by fusing the first questioning confidence coefficient judged by the current input voice of the questioner on the questioning intention and the second questioning confidence coefficient judged by the body action on the questioning intention, so that the accurate identification of the questioning intention under remote teaching is realized, the problem of questioning false identification or questioning identification omission caused by adopting a single voice judgment mode in the remote teaching process is prevented, and further, when the current intention is the questioning intention, the questioning content of the questioner pointing to the current teaching material is directly identified, the accurate questioning under remote teaching is realized, the questioning false interference and the questioning omission in the remote teaching process are avoided, the comprehensiveness and the accuracy of the questioning under remote teaching are ensured, and the remote teaching quality is further improved.
Fig. 5 is a schematic structural diagram of a question asking device for remote teaching provided by an embodiment of the present disclosure, which is applicable to a question asking scene of teaching contents where any questioner in a remote teaching system is located, and which can be implemented by software and/or hardware and integrated in a question asking terminal for executing the method. As shown in fig. 5, the question asking device for remote teaching in the embodiment of the present disclosure may specifically include:
an intention determining module 510, configured to determine a current intention of the questioner according to at least a limb action currently operated by the questioner;
and a questioning content identification module 520, configured to identify questioning content of the questioner pointing to the current teaching material if the current intention is a questioning intention.
According to the technical scheme provided by the embodiment of the disclosure, whether the current intention of the questioner is the questioning intention is judged by combining and analyzing the current input voice of the questioner and the body action under the category of the voice of the current input voice, so that the accurate identification of the questioning intention under the remote teaching is realized, the problems of questioning false identification or questioning identification omission caused by adopting a single voice judgment mode in the remote teaching process are prevented, the questioning content of the questioner pointing to the current teaching material is directly identified when the current intention is the questioning intention, the accurate questioning under the remote teaching is realized, the questioning false interference and the questioning omission in the remote teaching process are avoided, the comprehensiveness and the accuracy of questioning under the remote teaching are ensured, and the remote teaching quality is further improved.
Further, the intent determination module 510 may be specifically configured to:
and determining the current intention of the questioner according to the current input voice of the questioner and the limb actions under the category to which the voice of the current input voice belongs.
Further, the intent determination module 510 may be specifically configured to:
determining a corresponding first question confidence according to the voice content and the voice definition of the current input voice;
determining a corresponding second question confidence coefficient according to the recognition accuracy of the lower limb body action of the category to which the voice of the current input voice belongs;
and fusing the first question confidence coefficient and the second question confidence coefficient, and judging whether the current intention of the questioner is a question intention.
Further, the question asking device for remote teaching may further include:
the input voice acquisition module is used for acquiring the preset current input voice acquired by the audio module facing the questioner in real time and determining the category of the corresponding voice according to the voice content of the current input voice;
and the limb action recognition module is used for acquiring a corresponding limb image through a preset target camera module under the voice belonging category, recognizing the limb image and determining the limb action of the questioner under the voice belonging category.
Further, the question asking device for remote teaching may further include:
and the pointing prompt module is used for initiating a corresponding question pointing prompt to the question asking party if the hand pointing action of the question asking party does not exist in the limb actions of the class to which the voice belongs.
Further, the questioning content identifying module 520 may be specifically configured to:
and acquiring a hand pointing image of the questioning party pointing to the current teaching material, and identifying questioning contents pointed in the hand pointing image.
Further, the question asking device for remote teaching may further include:
and the question reporting module is used for reporting the identity information and the question content of the question provider to the answerer.
The question asking device for remote teaching provided by the embodiment of the disclosure belongs to the same inventive concept as the question asking method for remote teaching provided by the embodiment, technical details which are not described in detail in the embodiment of the disclosure can be referred to the embodiment, and the embodiment of the disclosure has the same beneficial effects as the embodiment.
Referring now to FIG. 6, a schematic diagram of a question terminal 600 suitable for use in implementing embodiments of the present disclosure is shown. The questioning terminal in the embodiments of the present disclosure may include, but is not limited to, mobile terminals such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle terminal (e.g., a car navigation terminal), and the like, and fixed terminals such as a digital TV, a desktop computer, and the like. The question terminal shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 6, questioning terminal 600 may include a processing device (e.g., a central processing unit, a graphics processor, etc.) 601, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage device 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the questioning terminal 600 are also stored. The processing device 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
Generally, the following devices may be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 607 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 608 including, for example, tape, hard disk, etc.; and a communication device 609. Communication means 609 may allow questioning terminal 600 to communicate wirelessly or by wire with other devices to exchange data. While FIG. 6 illustrates question terminal 600 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 609, or may be installed from the storage means 608, or may be installed from the ROM 602. The computer program, when executed by the processing device 601, performs the above-described functions defined in the methods of the embodiments of the present disclosure.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the questioning terminals may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the question terminal; or may exist separately and not be assembled into the question terminal.
The computer readable medium carries one or more programs which, when executed by the question terminal, cause the question terminal to: determining the current intention of a questioner according to the current input voice of the questioner and the body action under the category to which the voice of the current input voice belongs; and if the current intention is a questioning intention, identifying the questioning content of the questioning party pointing to the current teaching material.
Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of an element does not in some cases constitute a limitation on the element itself.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
According to one or more embodiments of the present disclosure, a question interaction method for remote teaching is provided, which includes:
determining the current intention of a questioner at least according to the limb action currently operated by the questioner;
and if the current intention is a questioning intention, identifying the questioning content of the questioning party pointing to the current teaching material.
According to one or more embodiments of the present disclosure, in the above method, the determining the current intention of the questioner according to at least the limb action currently operated by the questioner includes:
determining the current intention of a questioner according to the current input voice of the questioner and the body action under the category to which the voice of the current input voice belongs.
According to one or more embodiments of the present disclosure, in the above method, the determining the current intention of the questioner according to the current input voice of the questioner and the body motion under the category to which the voice of the current input voice belongs includes:
determining a corresponding first question confidence according to the voice content and the voice definition of the current input voice;
determining a corresponding second question confidence coefficient according to the recognition accuracy of the lower limb body action of the category to which the voice of the current input voice belongs;
and fusing the first question confidence coefficient and the second question confidence coefficient, and judging whether the current intention of the questioner is a question intention.
According to one or more embodiments of the present disclosure, the method further includes, before determining the current intention of the questioner according to the current input voice of the questioner and the body motion under the category to which the voice of the current input voice belongs:
acquiring current input voice acquired by a preset audio module facing the questioner in real time, and determining the category of the corresponding voice according to the voice content of the current input voice;
and acquiring a corresponding limb image through a preset target camera module under the voice belonging category, identifying the limb image, and determining the limb action of the questioner under the voice belonging category.
According to one or more embodiments of the present disclosure, the method further includes, before identifying the questioning content of the questioner directed to the current teaching material, the step of:
and if the hand pointing motion of the questioning party does not exist in the limb motions of the voice belonging category, initiating a corresponding questioning pointing prompt to the questioning party.
According to one or more embodiments of the present disclosure, in the above method, the identifying the question content of the questioner pointing to the current teaching material includes:
and acquiring a hand pointing image of the questioning party pointing to the current teaching material, and identifying questioning contents pointed in the hand pointing image.
According to one or more embodiments of the present disclosure, the method further includes, after identifying the questioning content of the questioner directed to the current teaching material, the step of:
and reporting the identity information and the questioning content of the questioning party to the questioning party.
According to one or more embodiments of the present disclosure, there is provided a questioning apparatus for remote teaching, including:
the intention determining module is used for determining the current intention of the questioner at least according to the limb action currently operated by the questioner;
and the questioning content identification module is used for identifying the questioning content of the questioning party pointing to the current teaching material if the current intention is the questioning intention.
According to one or more embodiments of the present disclosure, in the above apparatus, the intention determining module is specifically configured to:
determining the current intention of a questioner according to the current input voice of the questioner and the body action under the category to which the voice of the current input voice belongs.
According to one or more embodiments of the present disclosure, in the above apparatus, the intention determining module is specifically configured to:
determining a corresponding first question confidence according to the voice content and the voice definition of the current input voice;
determining a corresponding second question confidence coefficient according to the recognition accuracy of the lower limb body action of the category to which the voice of the current input voice belongs;
and fusing the first question confidence coefficient and the second question confidence coefficient, and judging whether the current intention of the questioner is a question intention.
According to one or more embodiments of the present disclosure, the above apparatus further includes:
the input voice acquisition module is used for acquiring the preset current input voice acquired by the audio module facing the questioner in real time and determining the category of the corresponding voice according to the voice content of the current input voice;
and the limb action recognition module is used for acquiring a corresponding limb image through a preset target camera module under the voice belonging category, recognizing the limb image and determining the limb action of the questioner under the voice belonging category.
According to one or more embodiments of the present disclosure, the above apparatus further includes:
and the pointing prompt module is used for initiating a corresponding question pointing prompt to the question asking party if the hand pointing action of the question asking party does not exist in the limb actions of the class to which the voice belongs.
According to one or more embodiments of the present disclosure, in the apparatus, the content identification module is specifically configured to:
and acquiring a hand pointing image of the questioning party pointing to the current teaching material, and identifying questioning contents pointed in the hand pointing image.
According to one or more embodiments of the present disclosure, the above apparatus further includes:
and the question reporting module is used for reporting the identity information and the question content of the question provider to the answerer.
According to one or more embodiments of the present disclosure, there is provided a question terminal including:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method of questioning remote teaching as described in any of the embodiments of the present disclosure.
According to one or more embodiments of the disclosure, a question system for remote teaching is provided, which includes a question terminal provided in any embodiment of the disclosure, and an audio module, a first camera module and a second camera module which are respectively connected with the question terminal in a communication manner; wherein the content of the first and second substances,
the audio module is used for acquiring the current input voice of the questioner in real time;
the first camera module is arranged to face the front of the questioner and is used for shooting an arm action image of the questioner;
the second camera module is arranged to face the current teaching material pointed by the questioning party and is used for shooting a hand pointing image of the questioning party pointing to the current teaching material.
According to one or more embodiments of the present disclosure, there is provided a readable medium having stored thereon a computer program which, when executed by a processor, implements a method of questioning remote teaching as described in any of the embodiments of the present disclosure.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims (9)

1. A question asking method for remote teaching is characterized by comprising the following steps:
determining the current intention of a questioner at least according to the limb action currently operated by the questioner;
if the current intention is a questioning intention, identifying questioning contents of the questioning party pointing to the current teaching materials;
the determining the current intention of the questioner according to at least the limb action currently operated by the questioner comprises:
acquiring current input voice acquired by a preset audio module facing the questioner in real time, and determining the category of the corresponding voice according to the voice content of the current input voice;
acquiring a corresponding limb image through a preset target camera module under the category to which the voice belongs, identifying the limb image, and determining the limb action of the questioner under the category to which the voice belongs;
determining the current intention of a questioner according to the current input voice of the questioner and the body action under the category to which the voice of the current input voice belongs.
2. The method according to claim 1, wherein the determining the questioner's current intention according to the questioner's current input speech and the body movements under the category to which the speech of the current input speech belongs comprises:
determining a corresponding first question confidence according to the voice content and the voice definition of the current input voice;
determining a corresponding second question confidence coefficient according to the recognition accuracy of the lower limb body action of the category to which the voice of the current input voice belongs;
and fusing the first question confidence coefficient and the second question confidence coefficient, and judging whether the current intention of the questioner is a question intention.
3. The method of claim 1, further comprising, prior to identifying the questioning party's questioning content directed to the current instructional material:
and if the hand pointing motion of the questioning party does not exist in the limb motions of the voice belonging category, initiating a corresponding questioning pointing prompt to the questioning party.
4. The method of claim 1, wherein said identifying the questioning party points to questioning content of the current instructional material comprises:
and acquiring a hand pointing image of the questioning party pointing to the current teaching material, and identifying questioning contents pointed in the hand pointing image.
5. The method according to any one of claims 1-4, further comprising, after identifying the questioning of the questioner to the current instructional material,:
and reporting the identity information and the questioning content of the questioning party to the questioning party.
6. A questioning apparatus for remote teaching, comprising:
the intention determining module is used for determining the current intention of the questioner at least according to the limb action currently operated by the questioner;
the questioning content identification module is used for identifying questioning content of the questioner pointing to the current teaching material if the current intention is a questioning intention;
the input voice acquisition module is used for acquiring the preset current input voice acquired by the audio module facing the questioner in real time and determining the category of the corresponding voice according to the voice content of the current input voice;
the body action recognition module is used for acquiring a corresponding body image through a target camera module preset under the voice belonging category, recognizing the body image and determining the body action of the questioner under the voice belonging category;
the intent determination module is specifically configured to:
and determining the current intention according to the current input voice of the questioner and the limb action under the category to which the voice of the current input voice belongs.
7. A question terminal, characterized in that it comprises:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method of questioning for remote teaching according to any one of claims 1 to 5.
8. A question system for remote teaching, which comprises a question terminal as claimed in claim 7, and an audio module, a first camera module and a second camera module which are respectively connected with the question terminal in a communication way; wherein the content of the first and second substances,
the audio module is used for acquiring the current input voice of the questioner in real time;
the first camera module is arranged to face the front of the questioner and is used for shooting an arm action image of the questioner;
the second camera module is arranged to face the current teaching material pointed by the questioning party and is used for shooting a hand pointing image of the questioning party pointing to the current teaching material.
9. A readable medium on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of questioning remote teaching according to any one of claims 1 to 5.
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