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A classroom student behavior analysis method and device

A behavior analysis and student technology, applied in the direction of instruments, character and pattern recognition, data processing applications, etc., can solve problems such as analysis

Pending Publication Date: 2019-05-10
ONE CONNECT SMART TECH CO LTD SHENZHEN
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, none of them can analyze the behavior of students (including raising hands, turning their heads, talking, standing up, and fighting)

Method used

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  • A classroom student behavior analysis method and device
  • A classroom student behavior analysis method and device
  • A classroom student behavior analysis method and device

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Embodiment Construction

[0019] The specific implementation manners of the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation manners described here are only used to illustrate and explain the embodiments of the present invention, and are not intended to limit the embodiments of the present invention.

[0020] like figure 1 As shown, the classroom student behavior analysis method of an embodiment of the present invention includes:

[0021] S11. Based on the camera installed in the classroom, collect classroom images in the classroom in a preset time interval, and extract human body contour images in the classroom images.

[0022] Regarding the implementation subject of the method in the embodiment of the present invention, on the one hand, it may be a dedicated integration component, a dedicated server or a dedicated terminal, etc. dedicated to classroom student behavior analysi...

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Abstract

The invention relates to the technical field of artificial intelligence. The embodiment of the invention provides a classroom student behavior analysis method and device, and the method comprises thesteps: collecting classroom images in a classroom in a preset time interval, and extracting a human body contour image; determining a human body contour image corresponding to each student; identifying human body key points in the human body contour image corresponding to each student in the classroom image; and determining the student behavior type of each student based on a classification neuralnetwork, wherein the classification neural network takes the human body key points and the corresponding student behavior types as input for training. Therefore, the image human body recognition technology and the neural network technology are combined, the student behavior types of students in the classroom can be quickly and accurately recognized, and effective data support can be provided forsubsequent education analysis or concentration analysis and the like.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a class student behavior analysis method and device. Background technique [0002] With the continuous development of science and technology, intelligent classroom technology that applies information technology to classroom learning has developed rapidly, and new technologies that use computers to monitor and analyze classroom learning status have also emerged. [0003] In the current related technology, it is generally based on the Kinect-based classroom teaching status monitoring system. The system uses the Kinect sensor to obtain color, depth, and bone point images during the student's lecture process to analyze the student's limb status and attention direction in class. This reflects the student's attendance status. [0004] However, none of them can analyze the behavior of students (including raising hands, turning their heads, talking, standing up, ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06Q50/20
Inventor 吴侠宝徐国强邱寒
Owner ONE CONNECT SMART TECH CO LTD SHENZHEN
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