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: 2020-09-04
深圳峰诚志合信息科技有限公司
View PDF0 Cites 0 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
  • 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: recording conditions of a classroom in a real-time manner through employing camera equipment, and obtaining the real-time video information of the classroom; processing the real-time video information to obtain student face image information, and judging the disappearance time of the face image information; when the disappearing time of the facial image information of the student is greater than a preset time value T1, judging that the student is in a distracted state, and counting the distracted rate of a student; by arranging the camera equipment, monitoring the real-time situation in the classroom, combining the camera equipment is with the processing device to detect that a human face appears for a certain time, and when the human face of a certain student does not appear for the time exceeding a preset value, automatically judging that the studentis in a distracted state; otherwise, I considering that pausing is normal, and activities such as lowering the head to take notes are obtained. Whether students are distracted or not in class can beeffectively 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): G06K9/00G06Q50/20
CPCG06Q50/205G06V40/174G06V40/168
Inventor 石鑫
Owner 深圳峰诚志合信息科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products