CN115460467A - Anti-hang-up detection method and system and terminal equipment - Google Patents
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Abstract
The application relates to the field of intelligent learning, in particular to an anti-hang detection method, an anti-hang detection system and terminal equipment, wherein the method comprises the steps of acquiring video playing information of a learner when the learner learns on the intelligent equipment; judging whether to learn the current playing video for the first time or not based on the video playing information; if the current playing video is the first learning, closing the video fast forward function; acquiring an anti-hang detection strategy; detecting whether the to-be-learners hang up or not based on the anti-hang up detection strategy; and if the learner hangs up, pausing playing the video and recording on-hook information. The method can prevent the video from being played in an on-hook mode to finish the study when the user swipes a class without carefully studying as much as possible.
Description
Technical Field
The application relates to the field of intelligent learning, in particular to an anti-hang detection method, an anti-hang detection system and terminal equipment.
Background
The rapid development of the internet has changed our lives in many ways. For example, when learning is performed in a classroom, learning can be performed at home through the internet, and especially when the learning is inconvenient to be performed in a centralized manner while going out, online learning is very important.
In the related art, there are two general ways for online learning, one is to give lessons by teachers in an online live broadcast manner, and the other is to make videos recorded in advance by teachers and learn by watching the recorded videos.
Aiming at the related technologies, when the user watches and records the video to learn, the user can not supervise the video, and the phenomenon that the user finishes a task when brushing a video class or the phenomenon that the user quickly finishes the video by playing at a double speed can occur.
Disclosure of Invention
In order to prevent the situation of on-hook class brushing when the on-line video learning is watched as much as possible, the application provides an on-hook detection method, an on-hook detection system and terminal equipment.
The method, the system and the terminal device for detecting the hang-up prevention adopt the following technical scheme:
an anti-hang up detection method comprising:
when a learner is to learn on the smart device,
acquiring video playing information of the to-be-learners;
judging whether to learn the current playing video for the first time or not based on the video playing information;
if the current playing video is primarily learned, closing the video fast forward function;
acquiring an anti-hang detection strategy;
detecting whether the learner hangs up or not based on the anti-hang-up detection strategy;
and if the learner hangs up, pausing the playing of the video and recording on-hook information.
By adopting the technical scheme, when a learner learns by using the intelligent equipment and opens a video to be learned, the learner can firstly judge whether the currently played video has already been learned, if so, the video fast forwarding function can be started for learning, if the video is learned for the first time, the video fast forwarding function is forbidden, then whether the learner hangs up is detected according to an anti-hanging detection strategy, if so, the video playing is stopped and the hanging up information is recorded, and if not, the video playing is normally carried out. The method can prevent the video from being played in an on-hook mode to finish the study when the user swipes a class without carefully studying as much as possible.
Optionally, the determining whether to learn the currently played video for the first time based on the video playing information includes:
acquiring account information of a to-be-learnt;
obtaining a learning record according to the account information;
judging whether to learn the current playing video for the first time or not based on the learning record;
if the currently played video has a learning record, the video is not primarily learned;
if the currently played video has no learning record, the video is primarily learned.
By adopting the technical scheme, before a learner learns through a video, the learner needs to log in an account in an operating program in the intelligent device, after logging in the account, the learning record of the account is inquired, if the learning record can be found through the currently played video, the learning is not the first learning, and if the learning record is not found, the first learning is performed. According to whether the video fast forward function is started or not for the first learning, the mode that the learner starts the fast forward for completing the fast video can be avoided as much as possible.
Optionally, the detecting whether the to-be-learners hang up based on the anti-hang-up detection policy includes:
acquiring a plurality of preset time periods shot by a camera;
randomly shooting a live face picture of the human body of the learner to be learnt within each preset time period to obtain a shooting result;
judging whether a live face picture of a human body is shot or not based on the shooting result;
if the live face picture of the human body is not shot, acquiring interval time;
and judging whether the learner hangs up or not based on the interval time.
By adopting the technical scheme, when the video is played, a plurality of time periods are set, a live face picture of a human body is shot randomly in each time period, whether a person hangs up to brush the video is judged according to whether the live face picture of the human body can be shot, if the live face picture of the human body is not shot, the person cannot simply be considered as hanging up, and whether the person really hangs up is judged according to the interval time. In the video playing process, face photos are randomly collected, and the situation that the video is refreshed on-hook is prevented as much as possible.
Optionally, the detecting whether the to-be-learners hang up based on the interval time includes:
based on the interval time, shooting the live face picture of the human body again, and judging whether the live face picture of the human body can be shot or not;
if the live face picture of the human body cannot be shot, the learner hangs up;
if the live face picture of the human body can be shot, video bullet question information is obtained;
and judging whether the learner hangs up or not based on the video bullet question information.
By adopting the technical scheme, in order to avoid the occurrence of accidental situations as much as possible, for example, when random shooting is carried out, the user just picks up an object to cause that a picture is not shot and is judged to be on-hook, so that the interval time is set, a live face picture of a human body is shot after the interval time is over, if the picture cannot be shot, the learner is waited to hang up, and if the picture can be shot, whether the learner hangs up is further judged by combining with the bullet question information of the video.
Optionally, based on the video bullet question information, determining whether the learner hangs up includes:
judging whether answer information is received or not according to the video popup information;
if the answer information is not received, the learner hangs up;
if receiving answer information, obtaining answer time to judge whether the learner hangs up
By adopting the technical scheme, when the learning video is finished, the pop-up window of the video can be popped up, if no question is made, the pop-up window indicates that the learner hangs up or hangs up for a part of time, and if answer information is received, whether the learner hangs up or not is judged according to the answer time, so that the accuracy of detecting whether the learner hangs up or not is improved.
Optionally, the obtaining the answer time to determine whether the learner hangs up includes:
judging whether the answer time exceeds an answer threshold value or not based on the answer time;
if the answer time exceeds the answer threshold, the to-be-learners hang up;
and if the answer time does not exceed the answer threshold, the to-be-learners do not hang up.
By adopting the technical scheme, after the video popup information comes out, the learner needs to finish answering within the set time, if the answering is not finished within the set time, the learner leaves, the on-hook is judged, and if the answering is finished within the set time, the on-hook is not carried out, and the learner is learning.
Optionally, acquiring a background running program;
judging whether only an operating program for operating the video playing exists or not based on the background operating program;
if only the running program for running the video playing exists, the video playing is not operated;
if not only the running program for running the video playing exists, detecting whether the running program is switched;
if the running programs are switched, acquiring switching time;
judging whether the switching time is greater than a switching threshold value;
if the switching time is larger than the switching threshold value, the to-be-learners hang up;
if the switching time is less than or equal to the switching threshold value, the to-be-learners are not on-hook.
By adopting the technical scheme, when the fact that whether the video is on-hook is detected to be learned is detected, the on-hook is judged according to the running program on the intelligent equipment, and if the intelligent equipment does not have other programs except the program for playing the current video, the detection is not carried out. If other running programs exist, whether program switching exists is detected, if the program switching exists, whether switching exists is judged according to switching time, if the switching time is larger than a switching threshold value, the fact that the learner uses other programs to watch videos does not exist, and the learner hangs up.
In a second aspect, the present application provides a terminal device, which adopts the following technical solution:
an anti-hang up detection system comprising: the device comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring video playing information of a learner when the learner learns on the intelligent equipment;
the first judgment module is used for judging whether to learn the current playing video for the first time or not based on the video playing information;
the setting module is used for closing the video fast forward function if the current playing video is learned for the first time;
the second acquisition module is used for acquiring an anti-hang-up detection strategy;
the detection module is used for detecting whether the learner hangs up or not based on the anti-hanging-up detection strategy;
and the recording module is used for pausing the playing of the video and recording on-hook information if the learner hangs up.
By adopting the technical scheme, after the first acquisition module acquires video playing information, the first judgment module judges whether a learner learns a currently played video for the first time according to the video playing information, the setting module closes the fast forwarding function when the learner learns the currently played video for the first time, the second acquisition module acquires an anti-hang detection strategy, the detection module detects whether the learner hangs up according to the anti-hang detection strategy, and the recording module stops video playing and records hang-up information when the learner hangs up. The method can prevent the video from being played in an on-hook mode to finish the study when the user swipes a class without carefully studying as much as possible.
In a third aspect, the present application provides a terminal device, which adopts the following technical solution:
a terminal device comprising a memory, a processor, said memory storing a computer program operable on the processor, said processor when loading and executing said computer program employing the method of any of the above.
By adopting the technical scheme, the computer program is generated by the method and stored in the memory so as to be loaded and executed by the processor, so that the terminal equipment is manufactured according to the memory and the processor, and the use is convenient.
To sum up, the application comprises the following beneficial technical effects:
when a learner learns by using the intelligent equipment, when the learner opens a video to be learned, whether the currently played video is learned or not is judged, if so, a video fast forwarding function can be started for learning, if the video is learned for the first time, the video fast forwarding function is prohibited, then whether the learner hangs up or not is detected according to an anti-hanging detection strategy, if the learner hangs up, the video playing is paused and the hanging up information is recorded, and if the learner does not hang up, the video playing is normally performed. The method can prevent the video from being played in an on-hook mode to finish the study when the user swipes a class without carefully studying as much as possible.
Drawings
FIG. 1 is a flow chart of a method for detecting an anti-hang-up according to an embodiment of the present disclosure;
fig. 2 is a flowchart illustrating a method for determining whether to learn a currently played video for the first time based on video playing information according to an embodiment of the present application;
FIG. 3 is a flowchart of a method for detecting whether a learner hangs up based on an anti-hang detection strategy according to an embodiment of the present application;
FIG. 4 is a flowchart illustrating a method for detecting whether a learner hangs up based on an interval time according to an embodiment of the present application;
FIG. 5 is a flowchart illustrating a method for determining whether a learner hangs up based on video bullet question information according to an embodiment of the present disclosure;
FIG. 6 is a flowchart illustrating a method for determining whether a learner hangs up by obtaining answer time according to an embodiment of the present application;
FIG. 7 is a flowchart of a method for detecting whether a learner hangs up based on an anti-hang detection strategy according to an embodiment of the present application;
fig. 8 is a system block diagram of an anti-hang-up detection system according to an embodiment of the present application.
Description of reference numerals:
1. an acquisition module; 2. a first judgment module; 3. setting a module; 4. a second acquisition module; 5. a detection module; 6. and a recording module.
Detailed Description
The present application is described in further detail below with reference to all of the figures.
The embodiment of the application discloses an on-hook prevention detection method, which, with reference to fig. 1, includes:
s100, when the learner learns on the intelligent equipment, video playing information of the learner is obtained.
Specifically, the information about the video playing includes a signal indicating that the learner starts playing the video and which video is played. The intelligent device can be a computer, a mobile phone, a tablet computer and the like. And learning is performed through an operating program installed on the intelligent device.
And S110, judging whether to learn the current playing video for the first time or not based on the video playing information.
Specifically, the currently played video is a video that is currently being watched by the learner, if the currently played video is the video that is currently being watched by the learner for the first time, step S120 is performed, and if the currently played video is not watched for the first time, step S130 is performed.
And S120, if the current playing video is the first learning, closing the video fast forward function.
Specifically, the video fast-forward function includes double-speed playing and video progress bar dragging.
S130, obtaining an anti-hang-up detection strategy.
Specifically, the hang-up prevention detection strategy is a detection means used for detecting whether a learner hangs up or not when playing a video, and comprises the steps of taking a live photo of a human body at irregular time, setting a video popup answer and the like.
And S140, detecting whether the learner hangs up or not based on the anti-hang detection strategy.
Specifically, waiting for the learner to hang up means that when the learner plays the video, the person is not away from watching the video or the person is doing other things while watching the video.
And S150, if the learner hangs up, pausing playing the video and recording on-hook information.
Specifically, the on-hook information includes a video played when the on-hook is detected, an on-hook time, and an on-hook person.
The implementation principle of the on-hook prevention detection method in the embodiment of the application is as follows: when a learner learns by using the intelligent equipment, when the learner opens a video to be learned, whether the currently played video is learned or not is judged, if so, a video fast forwarding function can be started for learning, if the video is learned for the first time, the video fast forwarding function is prohibited, then whether the learner hangs up or not is detected according to an anti-hanging detection strategy, if the learner hangs up, the video playing is paused and the hanging up information is recorded, and if the learner does not hang up, the video playing is normally performed. The method can prevent the video from being played in an on-hook mode to finish the study when the user swipes a class without carefully studying as much as possible.
In step S110 of the steps of the embodiment shown in fig. 1, it is determined whether to learn the currently played video for the first time based on the video playing information, which is specifically described in detail with the embodiment shown in fig. 2.
Referring to fig. 2, determining whether to learn a currently played video for the first time based on video playing information includes:
s200, account information of the learner to be learnt is obtained.
Specifically, the account information of the learner includes the name of the learner, the watched video, the watched time, the unwatched video, and the like.
And S210, obtaining a learning record according to the account information.
Specifically, the learning record shows that the completed video or a video is watched for a part of the time, but not all the videos are watched.
And S220, judging whether to learn the current playing video for the first time or not based on the learning record.
Specifically, the currently played video is compared with the learning record, if the current video can be inquired in the learning record, the fact that the video is learned or part of the video is watched is indicated, and if the video cannot be inquired, the fact that the video is not learned is indicated, and the learning is performed for the first time. If the video is watched but not watched completely, the user only operates to the previously watched part when the video block forwarding function is executed to learn, and the video fast forwarding function cannot be used for the watched part. When the learning record can be inquired, step S230 is performed, and when the learning record cannot be inquired, step S240 is performed.
And S230, if the currently played video has the learning record, the video is not primarily learned.
And S240, if the currently played video does not have the learning record, learning for the first time.
The implementation principle of judging whether to learn the currently played video for the first time based on the video playing information is as follows: before a learner learns through a video, the learner needs to log in an account in an operating program in the intelligent device, and after logging in the account, the learner can inquire the learning record of the account, if the learning record can be found through the currently played video, the learner does not learn for the first time, and if the learner does not have the learning record, the learner learns for the first time. According to whether the video fast forward function is started or not for the first learning, the mode that the learner starts the fast forward for completing the fast video can be avoided as much as possible.
In step S110 of the steps of the embodiment shown in fig. 1, whether the learner is on-hook is detected based on the anti-on-hook detection strategy, which is specifically described in detail by the embodiment shown in fig. 3.
Referring to fig. 3, detecting whether a learner is on-hook based on an anti-on-hook detection strategy includes:
s300, acquiring a plurality of preset time periods shot by the camera.
Specifically, the time duration of the preset time period can be set according to the video duration. There will be several preset time periods in a video playing process.
And S310, randomly shooting a live face picture of the human body of the learner in each preset time period to obtain a shooting result.
Specifically, a live face picture of a human body is randomly taken in each preset time period, for example, the preset time period is set to 5 minutes, then a live face picture of a human body is taken in every five minutes, and the time taken in the five minutes is random, and the live face picture of a human body is a picture obtained by taking a face of a person, so that the situation that the person is replaced by the picture is avoided. The shooting result is whether a live face picture of the human body is shot or not.
And S320, judging whether the live face picture of the human body is shot or not based on the shooting result.
Specifically, a live face picture of the human body can be taken to prove that the learner is watching the video in front of the intelligent device at the moment, and step S330 is executed. If the live face photograph of the human body cannot be taken, step S340 is performed.
And S330, if the live face picture of the human body is not shot, acquiring interval time.
And S340, judging whether the learner hangs up or not based on the interval time.
Specifically, the interval time is a time when any live face picture is taken again when no live face picture of the human body is taken.
The embodiment of the application is based on an anti-hang detection strategy, and the implementation principle of detecting whether a learner hangs up is as follows: when the video is played, a plurality of time periods are set, a live face picture of a human body is shot randomly in each time period, whether a person is on-hook to brush the video is judged according to whether the live face picture of the human body can be shot, if the live face picture of the human body is not shot, the person cannot be simply considered to be on-hook, and whether the person is actually on-hook is judged according to the interval time. In the video playing process, face photos are randomly collected, and the situation that a video is brushed when the video is hung is prevented as much as possible.
In step S340 of the step of the embodiment shown in fig. 3, whether the learner is on-hook is determined based on the interval time, which is specifically described in detail by the embodiment shown in fig. 4.
Referring to fig. 4, detecting whether the learner hangs up based on the interval time includes:
and S400, shooting the live face picture of the human body again based on the interval time, and judging whether the live face picture of the human body can be shot or not.
Specifically, in order to prevent the live face photo of the human body from being shot in a preset time period, the learner happens to leave for a short time without shooting the live face photo of the human body, so that the learner is judged to be on-hook, and the live face photo is shot again at intervals, such as bending down to pick up objects and receiving water. The interval time is calculated from the moment that the live face picture of the human body is not shot. For example, the interval time is 30 seconds, and the next picture is taken after 30 seconds from the moment when no live face picture of the human body is taken. When the human face live photograph can be taken, step S410 is executed, and when the human face live photograph cannot be taken, step S410 is executed.
And S410, if the live face picture of the human body cannot be shot, waiting for the learner to hang up.
And S420, if the live face picture of the human body can be shot, acquiring video bullet question information.
Specifically, the video bullet question information is popped up when a video playing process is performed, the content of a bullet window is a question related to a currently played video, the selection question is generally set as a selection question, and the selection question is submitted after a learner selects an answer.
And S430, judging whether the learner hangs up or not based on the video bullet question information.
The implementation principle of detecting whether the learner hangs up or not based on the interval time is as follows: the method has the advantages that the accidental situations are avoided as much as possible, for example, when random shooting is carried out, the fact that a picture is not shot is judged to be on-hook due to the fact that objects are just picked up, so that the interval time is set, a live face picture of a human body is shot after the interval time is over, if the picture cannot be shot, a learner is on-hook, and if the picture can be shot, whether the learner is on-hook is further judged by combining with video bullet question information.
In step S430 of the steps of the embodiment shown in fig. 4, it is determined whether the learner is on-hook based on the video bullet question information, which is specifically described in detail with the embodiment shown in fig. 5.
Referring to fig. 5, determining whether the learner is on-hook based on the video bullet question information includes:
and S500, judging whether answer information is received or not according to the video popup information.
Specifically, the answer information is information for submitting an answer after the learner finishes making a question, and the answer information can be received to show that the learner watches the video and finishes submitting the question, and usually, the video popup information is placed at the end of the video. If the answer information is not received, the user leaves the path for learning to play the video, and the video is not completely viewed. When the answer information is received, step S520 is executed, and when the answer information is not received, step S510 is executed.
S510, if the answer information is not received, the learner hangs up.
S520, if the answer information is received, the answer time is obtained to judge whether the learner hangs up.
The implementation principle of judging whether the learner hangs up or not based on the video bullet question information is as follows: when the learning video is finished, a pop-up window of the video is popped up, if no question is made, the video is shown to be hung up or hung up for a part of time, if answer information is received, whether the learner hangs up or not is judged according to the answer time, and the accuracy of detecting whether the learner hangs up or not is improved.
In step S520 of the steps of the embodiment shown in fig. 5, the answering time is obtained to determine whether the learner is on-hook, which is described in detail with the embodiment shown in fig. 6.
S600, judging whether the answer time exceeds an answer threshold value or not based on the answer time.
Specifically, the answering time is the time from popping up of a pop-up window of the video to the completion of the question submission of the learner, and the answering threshold is the set maximum time allowed for the learner to answer. When the answer time does not exceed the answer threshold, step S620 is performed, and when the answer threshold is exceeded, step S610 is performed.
S610, if the answering time exceeds the answering threshold, the learner hangs up.
In particular, since the video popup is usually set at the end of the video, if the answer threshold is not set, it may happen that the learner returns too long to submit the answer. To avoid this, an answer threshold is set, requiring that the learner must finish and submit the question within a prescribed time.
S620, if the answer time does not exceed the answer threshold, the learner does not hang up.
The implementation principle of obtaining the answering time to judge whether the learner hangs up in the embodiment of the application is as follows: after the video popup information comes out, the learner needs to finish answering within a set time, if the learner does not finish answering within the set time, the learner leaves, the on-hook is judged, and if the learner finishes answering within the set time, the learner does not hang up but learns.
In step S140 of the steps of the embodiment shown in fig. 1, whether the learner is on-hook is detected based on the anti-hang detection strategy, and whether the learner is on-hook can also be detected by what, which is specifically described in detail by the embodiment shown in fig. 7.
Referring to fig. 7, detecting whether the learner is on-hook based on the anti-on-hook detection policy further includes:
and S700, acquiring a background running program.
Specifically, a plurality of running programs can be run on the intelligent device, the background running program is a program which is not used currently but runs in the background, when the video learning is performed, the running program of the video learning is a running program, and other programs are background running programs.
And S710, judging whether only the running program for running the video playing exists based on the background running program.
Specifically, if there is only one running program for playing the video, step S720 is executed without detecting the running program, and if there is another running program, step S730 is executed.
And S720, if only the running program for running the video playing exists, not operating.
And S730, if the running program for running the video playing exists, detecting whether the running program is switched.
Specifically, the switching of the running program refers to switching from the running program of video playing to another running program when the learner plays the video.
And S740, if the running programs are switched, acquiring switching time.
Specifically, the switching time is the time when the learner switches from the running program for playing the video to the running program for playing the video after switching to other programs.
And S750, judging whether the switching time is greater than a switching threshold value.
Specifically, the switching threshold is the maximum time allowed by the learner to leave the running program through the running program of the video learning, and the switching threshold aims to prevent the learner from being switched out of the running program only temporarily, such as the popup of advertisements. If the learned running program comes back within the switching threshold, it is not considered as on-hook. When the switching time is greater than the switching threshold, step S760 is performed, otherwise step S770 is performed.
S760, if the switching time is larger than the switching threshold value, the learner hangs up.
And S770, if the switching time is less than or equal to the switching threshold, waiting for the learner to hang up.
The embodiment of the application is based on an anti-hang detection strategy, and the implementation principle of detecting whether a learner hangs up is as follows: and when detecting whether the video to be learned is on-hook or not, judging according to an operating program on the intelligent equipment, and if the intelligent equipment does not have other programs except the program for playing the current video, not detecting. If other running programs exist, whether program switching exists is detected, if the program switching exists, whether switching exists is judged according to switching time, if the switching time is larger than a switching threshold value, the fact that the learner uses other programs to watch videos does not exist, and the learner hangs up.
An anti-hang-up detection method is described above in detail, and an anti-hang-up detection system based on the anti-hang-up detection method is described in detail below.
Referring to fig. 8, an anti-hang up detection system includes:
the first acquisition module 1 is used for acquiring video playing information of a learner when the learner learns on the intelligent equipment;
the first judging module 2 is used for judging whether to learn the currently played video for the first time based on the video playing information;
the setting module 3 is used for closing the video fast forward function if the current playing video is the first learning;
the second obtaining module 4 is used for obtaining an anti-hang-up detection strategy;
the detection module 5 is used for detecting whether the learner hangs up or not based on the anti-hanging-up detection strategy;
and the recording module 6 is used for pausing playing the video and recording on-hook information if the learner hangs up.
The implementation principle of the on-hook prevention detection system in the embodiment of the application is as follows: after the first obtaining module 1 obtains video playing information, the first judging module 2 judges whether a learner learns a currently played video for the first time according to the video playing information, the setting module 3 closes a fast forwarding function when the learner learns the currently played video for the first time, the second obtaining module 4 obtains an anti-hang detection strategy, the detecting module 5 detects whether the learner hangs up according to the anti-hang detection strategy, and the recording module 6 stops video playing and records hang-up information when the learner hangs up. The method can prevent the video from being played in an on-hook mode to finish the study when the user swipes a class without carefully studying as much as possible.
The embodiment of the application also discloses a terminal device, which comprises a memory and a processor, wherein the memory stores a computer program capable of running on the processor, and when the processor loads and executes the computer program, an anti-hang detection method is adopted.
The terminal device may adopt a computer device such as a desktop computer, a notebook computer, or a cloud server, and the terminal device includes but is not limited to a processor and a memory, for example, the terminal device may further include an input/output device, a network access device, a bus, and the like.
The processor may be a Central Processing Unit (CPU), and of course, according to an actual use situation, other general processors, digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like may also be used, and the general processor may be a microprocessor or any conventional processor, and the present application does not limit the present invention.
The memory may be an internal storage unit of the terminal device, for example, a hard disk or a memory of the terminal device, or an external storage device of the terminal device, for example, a plug-in hard disk, a smart card memory (SMC), a secure digital card (SD) or a flash memory card (FC) equipped on the terminal device, and the memory may also be a combination of the internal storage unit of the terminal device and the external storage device, and the memory is used for storing a computer program and other programs and data required by the terminal device, and the memory may also be used for temporarily storing data that has been output or will be output, which is not limited in this application.
The method for detecting hang-up is stored in a memory of the terminal device through the terminal device, and is loaded and executed on a processor of the terminal device, so that the terminal device is convenient to use.
The above are preferred embodiments of the present application, and the scope of protection of the present application is not limited thereto, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (9)
1. An anti-hang up detection method, comprising:
when a learner is to learn on the smart device,
acquiring video playing information of the to-be-learners;
judging whether to learn the current playing video for the first time or not based on the video playing information;
if the current playing video is the first learning, closing the video fast forward function;
acquiring an anti-hang detection strategy;
detecting whether the learner hangs up or not based on the anti-hang-up detection strategy;
and if the learner hangs up, pausing the playing of the video and recording on-hook information.
2. The method of claim 1, wherein the determining whether to learn the currently playing video for the first time based on the video playing information comprises:
acquiring account information of a to-be-learnt;
obtaining a learning record according to the account information;
judging whether to learn the current playing video for the first time or not based on the learning record;
if the currently played video has a learning record, the video is not primarily learned;
if the currently played video has no learning record, the video is primarily learned.
3. The hang-up prevention detection method as claimed in claim 1, wherein the detecting whether the to-be-learners hang up based on the hang-up prevention detection policy comprises:
acquiring a plurality of preset time periods shot by a camera;
randomly shooting a live face picture of the human body of the learner to be learnt in each preset time period to obtain a shooting result;
judging whether a live face picture of a human body is shot or not based on the shooting result;
if the live face picture of the human body is not shot, acquiring interval time;
and judging whether the learner hangs up or not based on the interval time.
4. The hang-up prevention detection method as claimed in claim 3, wherein the detecting whether the to-be-learners hang up based on the interval time comprises:
based on the interval time, shooting the live face picture of the human body again, and judging whether the live face picture of the human body can be shot or not;
if the live face picture of the human body cannot be shot, the learner hangs up;
if the live face picture of the human body can be shot, video bullet question information is obtained;
and judging whether the learner hangs up or not based on the video bullet question information.
5. The method of claim 4, wherein the determining whether the learner hangs up based on the video bullet question information comprises:
judging whether answer information is received or not according to the video popup information;
if the answer information is not received, the learner hangs up;
and if the answer information is received, acquiring the answer time to judge whether the learner hangs up.
6. The method as claimed in claim 5, wherein the obtaining the answering time to determine whether the learner hangs up comprises:
judging whether the answer time exceeds an answer threshold value or not based on the answer time;
if the answer time exceeds the answer threshold, the to-be-learners hang up;
and if the answer time does not exceed the answer threshold, the to-be-learners do not hang up.
7. The hang-up prevention detection method as claimed in claim 1, wherein the detecting whether the to-be-learnt hangs up based on the hang-up prevention detection policy further comprises:
acquiring a background running program;
judging whether only an operating program for operating the video playing exists or not based on the background operating program;
if only the running program for running the video playing exists, the video playing is not operated;
if not, detecting whether the running program switching exists or not;
if the running programs are switched, acquiring switching time;
judging whether the switching time is greater than a switching threshold value;
if the switching time is larger than the switching threshold value, the to-be-learners hang up;
if the switching time is less than or equal to the switching threshold value, the to-be-learners are not on-hook.
8. An anti-hang up detection system, comprising:
the first acquisition module (1) is used for acquiring video playing information of a learner when the learner learns on the intelligent equipment;
the first judging module (2) is used for judging whether to learn the currently played video for the first time or not based on the video playing information;
the setting module (3) is used for closing the video fast forward function if the current playing video is learned for the first time;
the second acquisition module (4) is used for acquiring an anti-hang-up detection strategy;
a detection module (5) for detecting whether the learner hangs up based on the anti-hang-up detection strategy;
and the recording module (6) is used for pausing the playing of the video and recording on-hook information if the learner hangs up.
9. A terminal device comprising a memory and a processor, wherein the memory stores a computer program capable of running on the processor, and wherein the processor, when loading and executing the computer program, employs the method of any one of claims 1-7.
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Application publication date: 20221209 |