CN109086693B - Detection technology for on-line teaching learning attention - Google Patents

Detection technology for on-line teaching learning attention Download PDF

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CN109086693B
CN109086693B CN201810779593.4A CN201810779593A CN109086693B CN 109086693 B CN109086693 B CN 109086693B CN 201810779593 A CN201810779593 A CN 201810779593A CN 109086693 B CN109086693 B CN 109086693B
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CN109086693A (en
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吴伟
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Hefei Xinfan Video Technology Co ltd
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Anhui Guotong Yichuang Technology Co ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20Movements or behaviour, e.g. gesture recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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Abstract

The invention discloses a technology for detecting learning attention of online teaching, which comprises a camera, an information processing module, a database, a first analysis module, a second analysis module, a data overall planning module, a controller, a display, a memory and portable equipment, wherein the camera is connected with the information processing module; the camera is used for monitoring the learning dynamic state of the student in real time and transmitting the learning state video to the information processing module; according to the invention, the learning state video of the student is acquired through the camera, then the video is processed through the information processing module, when the student has a distraction action, the sight line and the ear part of the student can be analyzed through the first analysis module and the second analysis module, and whether the eye of the student watches other places or falls down for sleeping or whether the student takes an earphone to listen to audio information irrelevant to the learning video or not is detected; whether the students are studying seriously is monitored in real time through the two blocks; whether the current student is distracted or not can be displayed in real time through the display.

Description

Detection technology for on-line teaching learning attention
Technical Field
The invention belongs to the field of detection, relates to a teaching and learning attention detection technology, and particularly relates to a detection technology for on-line teaching and learning attention.
Background
On-line education, remote education and on-line learning, the current concept generally refers to a learning behavior based on a network, and is similar to the concept of network training. As the name suggests, online education is a teaching mode taking a network as a medium, and students and teachers can develop teaching activities even if the students and the teachers are separated by ten thousand miles through the network; in addition, by means of the network courseware, the students can learn at any time and any place, the limitation of time and space is broken really, and the network remote education is the most convenient learning mode for employees who work busy and have unfixed learning time. The online education has the advantages and characteristics of maximization of resource utilization across space-time and manpower and material resource limitations, autonomy of learning behaviors selected at any time and any place, interaction of learning forms such as teacher-student communication and student self-learning, modification of personalized teaching forms, and automation of teaching management by using a novel education tool, namely a network, and is a huge revolution generated by self and learning.
Currently, online teaching has the disadvantages that students cannot be monitored in real time during teaching, and whether the attention of the students is on a teaching video can be detected; to solve the above-mentioned drawbacks, a solution is now provided.
Disclosure of Invention
The invention aims to provide a technology for detecting learning attention in online teaching.
The purpose of the invention can be realized by the following technical scheme:
a technology for detecting learning attention in online teaching comprises a camera, an information processing module, a database, a first analysis module, a second analysis module, a data overall planning module, a controller, a display, a memory and portable equipment;
the system comprises a camera, an information processing module, a database and a database, wherein the camera is used for monitoring the learning dynamic state of a student in real time and transmitting a learning state video to the information processing module, the information processing module is used for analyzing and intercepting the learning state video to obtain the action picture information of the student, and the information processing module is used for comparing the action picture information with the vague action picture information in the database; the information processing module is used for automatically being in an early warning state when the action picture information is compared to be consistent with the vagus action picture information; the information processing module can automatically acquire the sight picture information of the eyes of the student from the action picture information in the early warning state; the information processing module can automatically acquire the auditory image information of the ears of the student from the action image information in the early warning state;
the information processing module is used for transmitting the sight picture information to the first analysis module, and the information processing module is used for transmitting the auditory picture information to the second analysis module; the first analysis module is used for analyzing the sight picture information and transmitting an alarm signal to the data orchestration module when the sight picture information is abnormal, and the second analysis module is used for analyzing the auditory picture information and transmitting an alarm signal to the data orchestration module when the auditory picture information is abnormal;
the data overall module is used for transmitting an abnormal signal to the controller when alarm signals of the first analysis module and the second analysis module are received at the same time; the controller transmits a distraction signal to the display when receiving an abnormal signal transmitted by the data coordinating module, and the display can automatically display the word of 'student attention is not concentrated' when receiving the distraction signal transmitted by the controller.
Further, the controller is used for automatically acquiring the time information and the continuous time period information generated by the distraction signal, and the controller is used for transmitting the time information and the time period information to the memory.
Further, the information processing module is used for transmitting the sight picture information to the first analysis module, the information processing module is used for transmitting the auditory picture information to the second analysis module, and the auditory picture information is picture information of a human ear part;
the first analysis module is used for analyzing the sight picture information and transmitting an alarm signal to the data planning module when the sight of the monitoring person is not aligned with the computer;
the second analysis module is used for analyzing auditory picture information, and the second analysis module can automatically transmit an alarm signal to the data planning module when detecting that the current video sound is played outside when detecting that the human ear is provided with an earphone.
Further, the database is used for storing vagal movement picture information of common movements of the students during vagal movement; the image information of the nerve action comprises head lowering, left-right anticipation and the like.
Further, the portable device is used for transmitting an acquisition signal to the controller, and the controller automatically acquires time information generated by the distraction signal and continuous time period information from the memory when receiving the acquisition signal transmitted by the portable device; the controller is used for transmitting the time information generated by the distraction signal and the continuous time period information to the portable equipment, and the portable equipment is used for analyzing the time information generated by the distraction signal and the continuous time period information and automatically obtaining the learning efficiency evaluation information of the students.
The invention has the beneficial effects that: according to the invention, the learning state video of the student is acquired through the camera, then the video is processed through the information processing module, when the student has a distraction action, the sight line and the ear part of the student can be analyzed through the first analysis module and the second analysis module, and whether the eye of the student watches other places or falls down for sleeping or whether the student takes an earphone to listen to audio information irrelevant to the learning video or not is detected; whether the students are studying seriously is monitored in real time through the two blocks; whether the current student is distracted or not can be displayed in real time through the display.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
As shown in fig. 1, a technology for detecting learning attention in online teaching includes a camera, an information processing module, a database, a first analysis module, a second analysis module, a data orchestration module, a controller, a display, a memory, and a portable device;
the system comprises a camera, an information processing module, a database and a database, wherein the camera is used for monitoring the learning dynamic state of a student in real time and transmitting a learning state video to the information processing module, the information processing module is used for analyzing and intercepting the learning state video to obtain the action picture information of the student, and the information processing module is used for comparing the action picture information with the vague action picture information in the database; the information processing module is used for automatically being in an early warning state when the action picture information is compared to be consistent with the vagus action picture information; the information processing module can automatically acquire the sight picture information of the eyes of the student from the action picture information in the early warning state; the information processing module can automatically acquire the auditory image information of the ears of the student from the action image information in the early warning state;
the information processing module is used for transmitting the sight picture information to the first analysis module, and the information processing module is used for transmitting the auditory picture information to the second analysis module; the first analysis module is used for analyzing the sight picture information and transmitting an alarm signal to the data orchestration module when the sight picture information is abnormal, and the second analysis module is used for analyzing the auditory picture information and transmitting an alarm signal to the data orchestration module when the auditory picture information is abnormal;
the data overall module is used for transmitting an abnormal signal to the controller when alarm signals of the first analysis module and the second analysis module are received at the same time; the controller transmits a distraction signal to the display when receiving an abnormal signal transmitted by the data coordinating module, and the display can automatically display the word of 'student attention is not concentrated' when receiving the distraction signal transmitted by the controller.
Further, the controller is used for automatically acquiring the time information and the continuous time period information generated by the distraction signal, and the controller is used for transmitting the time information and the time period information to the memory.
Further, the information processing module is used for transmitting the sight picture information to the first analysis module, the information processing module is used for transmitting the auditory picture information to the second analysis module, and the auditory picture information is picture information of a human ear part;
the first analysis module is used for analyzing the sight picture information and transmitting an alarm signal to the data planning module when the sight of the monitoring person is not aligned with the computer;
the second analysis module is used for analyzing auditory picture information, and the second analysis module can automatically transmit an alarm signal to the data planning module when detecting that the current video sound is played outside when detecting that the human ear is provided with an earphone.
Further, the database is used for storing vagal movement picture information of common movements of the students during vagal movement; the image information of the nerve action comprises head lowering, left-right anticipation and the like.
Further, the portable device is used for transmitting an acquisition signal to the controller, and the controller automatically acquires time information generated by the distraction signal and continuous time period information from the memory when receiving the acquisition signal transmitted by the portable device; the controller is used for transmitting the time information generated by the distraction signal and the continuous time period information to the portable equipment, and the portable equipment is used for analyzing the time information generated by the distraction signal and the continuous time period information and automatically obtaining the learning efficiency evaluation information of the students.
A detection technology for on-line teaching learning attention is characterized in that when the detection technology works, a learning state video of a student is acquired through a camera, then the video is processed through an information processing module, when the student performs distraction action, the sight line and the ear part of the student can be analyzed through a first analysis module and a second analysis module, and whether the eye distraction of the student watches other places or falls to sleep or whether the student carries an earphone to listen to audio information irrelevant to the learning video or not is detected; whether the students are studying seriously is monitored in real time through the two blocks; whether the current student is distracted or not can be displayed in real time through the display; the invention is simple, effective and easy to use.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.

Claims (1)

1. A technology for detecting learning attention in online teaching is characterized by comprising a camera, an information processing module, a database, a first analysis module, a second analysis module, a data overall planning module, a controller, a display, a memory and portable equipment;
the system comprises a camera, an information processing module, a database and a database, wherein the camera is used for monitoring the learning dynamic state of a student in real time and transmitting a learning state video to the information processing module, the information processing module is used for analyzing and intercepting the learning state video to obtain the action picture information of the student, and the information processing module is used for comparing the action picture information with the vague action picture information in the database; the information processing module is used for automatically being in an early warning state when the action picture information is compared to be consistent with the vagus action picture information; the information processing module can automatically acquire the sight picture information of the eyes of the student from the action picture information in the early warning state; the information processing module can automatically acquire the auditory image information of the ears of the student from the action image information in the early warning state;
the information processing module is used for transmitting the sight picture information to the first analysis module, and the information processing module is used for transmitting the auditory picture information to the second analysis module; the auditory picture information is picture information of a human ear part; the first analysis module is used for analyzing the sight picture information and transmitting an alarm signal to the data orchestration module when the sight picture information is abnormal, and the second analysis module is used for analyzing the auditory picture information and transmitting an alarm signal to the data orchestration module when the auditory picture information is abnormal;
the data overall module is used for transmitting an abnormal signal to the controller when alarm signals of the first analysis module and the second analysis module are received at the same time; the controller transmits a distraction signal to the display when receiving the abnormal signal transmitted by the data overall module, and the display automatically displays the word of 'student attention is not concentrated' when receiving the distraction signal transmitted by the controller;
the controller is used for automatically acquiring time information and continuous time period information generated by the distraction signal, and the controller is used for transmitting the time information and the time period information to the memory;
the first analysis module is used for analyzing the sight picture information and transmitting an alarm signal to the data orchestration module when the sight of the monitoring person is not aligned with the computer; the second analysis module is used for analyzing the auditory picture information, and automatically transmitting an alarm signal to the data planning module when detecting that the current video sound is played outwards while detecting that the ears of people are provided with earphones;
the database is used for storing vagal action picture information of common actions of the students during vagal action; the image information of the nerve action comprises head lowering and left looking for right expectation;
the portable equipment is used for transmitting an acquisition signal to the controller, and the controller can automatically acquire time information and continuous time period information generated by the distraction signal from the memory when receiving the acquisition signal transmitted by the portable equipment; the controller is used for transmitting the time information generated by the distraction signal and the continuous time period information to the portable equipment, and the portable equipment is used for analyzing the time information generated by the distraction signal and the continuous time period information and automatically obtaining the learning efficiency evaluation information of the students.
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CN111062844A (en) * 2020-03-17 2020-04-24 浙江正元智慧科技股份有限公司 Intelligent control system for smart campus
CN111626628A (en) * 2020-06-01 2020-09-04 梅和珍 Network teaching system for extraclass tutoring
CN111709641A (en) * 2020-06-15 2020-09-25 南京倍时佳信息科技有限公司 Enterprise internal technology training remote learning system based on internet technology
CN111709362B (en) * 2020-06-16 2023-08-08 百度在线网络技术(北京)有限公司 Method, device, equipment and storage medium for determining important learning content
CN111782029A (en) * 2020-07-09 2020-10-16 傅建玲 Electronic course learning supervising and urging method and system
CN111881830A (en) * 2020-07-28 2020-11-03 安徽爱学堂教育科技有限公司 Interactive prompting method based on attention concentration detection

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