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Learning efficiency monitoring and homework review method based on posture recognition

An efficiency monitoring and posture technology, applied in machine learning, character and pattern recognition, instruments, etc., can solve problems such as aggravating parents' pressure and assisting children with homework difficulties, and achieve the effect of improving learning efficiency

Pending Publication Date: 2022-03-29
XIAN UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Moreover, parents in modern society are under a lot of work pressure, and they need to help their children with their homework after returning home. This will undoubtedly increase the pressure on parents. Some parents will have great difficulties in tutoring their children because they have not received a good education.

Method used

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  • Learning efficiency monitoring and homework review method based on posture recognition
  • Learning efficiency monitoring and homework review method based on posture recognition
  • Learning efficiency monitoring and homework review method based on posture recognition

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Experimental program
Comparison scheme
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Embodiment Construction

[0041] The learning efficiency monitoring and homework review method based on posture recognition of the present invention comprises the following steps:

[0042] The first step is to collect data on facial expressions and body movements of students when doing homework:

[0043] Step S101: Turn on the power and turn on the terminal device.

[0044] Step S102: Capture 2D images through sensors such as cameras on the device, and collect data on facial expressions and body movements of students when doing homework.

[0045] The second step is to perform key point recognition and detection of various postures of the human body such as hands and faces:

[0046] Step S201: Read the video data, and the key point detector of OpenPose will identify and mark the parts of the body features.

[0047] Step S202: Help the body tracking algorithm understand the performance of each pose under different angles, and identify key points, such as hand key point recognition and face key point re...

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PUM

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Abstract

The invention discloses a learning efficiency monitoring and homework review method based on posture recognition. The method comprises the following steps: step 1, collecting data of facial expressions and limb actions when students do homework; secondly, key point recognition detection of all postures of the human body such as the hand and the face is carried out; 3, carrying out model training, and training some limb actions, facial expressions and other specific actions of the students into the model; 4, online real-time monitoring is carried out, a video data analysis result is compared with a trained model, whether the learning state and the sitting posture of the student are standard or not is judged, and corresponding voice prompts are given; and step 5, after the students write the homework, making a judgment on the correct rate, the learning state and the like of the homework done by the students through connection with the database of the question bank, and customizing personalized learning plans for the children according to the learning rules of the students and frequently wrong question types. According to the method, the learning efficiency of the student is monitored in real time by using a posture recognition technology, so that parents can know the learning state of the student during homework doing more conveniently, and the education informatization management degree is improved.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence robots, and in particular relates to a learning efficiency monitoring and operation review method based on gesture recognition. Background technique [0002] At present, with the development of mobile Internet and the popularization of smart terminals, the traditional way of teaching in ordinary classrooms can no longer meet the needs of teachers and parents. Parents hope to know the learning efficiency of their children in the classroom. The way teachers communicate to obtain student information will waste a lot of time. With the development and progress of computer vision and artificial intelligence technology, more and more events can be monitored and analyzed through video surveillance, such as face recognition, identity authentication, etc. Similarly, intelligent terminal products can be used to monitor and analyze students' postures and actions during class, and analyze stud...

Claims

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Application Information

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IPC IPC(8): G06V40/16G06V40/20G06V10/22G06V10/82G06N20/00G06Q50/20
CPCG06N20/00G06Q50/205
Inventor 高聪王赓陈煜喆
Owner XIAN UNIV OF POSTS & TELECOMM
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