Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

An expression recognition method suitable for classroom teaching

An expression recognition, classroom technology, applied in character and pattern recognition, acquisition/recognition of facial features, data processing applications, etc., can solve problems such as lack of expression recognition methods

Inactive Publication Date: 2019-04-26
山东旭兴网络科技有限公司
View PDF0 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Especially for the evaluation of classroom teaching efficiency, it can play a great role, but there is currently a lack of an effective expression recognition method for classroom teaching; in order to solve the above defects, a solution is now provided

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • An expression recognition method suitable for classroom teaching

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] Such as figure 1 As shown, a facial expression recognition method suitable for classroom teaching, the facial expression recognition method includes the following steps:

[0068] Step 1: Use the camera equipment to record the classroom situation in real time, and obtain the real-time video information of the classroom; the camera equipment is a surveillance camera;

[0069] Step 2: Process the real-time video information, obtain the student's facial image information, and judge the disappearance time of the facial image information;

[0070] S1: When the disappearance time of the student's facial image information is greater than the preset time value T1, it is determined that the student is in a state of mind-wandering, and the student's mind-wandering rate is counted; the specific statistical steps are as follows:

[0071] SS1: Obtain the total time of mind-wandering students in a class;

[0072] SS2: Divide the total time of the student's mind-wandering by the tota...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an expression recognition method suitable for classroom teaching, and the method comprises the following steps: carrying out the real-time recording of the condition of a classroom through employing a camera device, and obtaining the real-time video information of the classroom; Processing the real-time video information to obtain student face image information, and judgingthe disappearance time of the face image information; When the disappearance time of the student face image information is greater than a preset time value T1, judging that the student is in a distraction state, and counting the distraction rate of the student; By arranging the camera equipment, real-time conditions in a classroom can be monitored, the camera equipment is combined with the processing device to detect that the face is appearing time, and when the face of a certain student does not appear time exceeding a preset value, the student can be automatically judged to be in a distraction state; On the contrary, it is considered that normal pause occurs, and head lowering notes and other activities are obtained; By means of the method, whether the student is distracted or not during class can be effectively detected.

Description

technical field [0001] The invention belongs to the field of classroom teaching, and relates to an expression recognition technology, in particular to an expression recognition method suitable for classroom teaching. Background technique [0002] Expression recognition refers to the separation of specific expression states from a given static image or dynamic video sequence, so as to determine the psychological emotion of the recognized object. [0003] With the rapid development of computer technology and artificial intelligence technology and related disciplines, the degree of automation of the whole society is constantly improving, and people's demand for human-computer interaction similar to the way people communicate is becoming stronger and stronger. If computers and robots can understand and express emotions like humans, it will fundamentally change the relationship between humans and computers and enable computers to serve humans better. Expression recognition is th...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06Q10/06G06Q50/20
CPCG06Q10/06393G06Q50/205G06V40/171G06V40/174
Inventor 李国琛王立峰
Owner 山东旭兴网络科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products