Unlock instant, AI-driven research and patent intelligence for your innovation.

Student classroom concentration state detection method based on eye tracker in distance education

A state detection and distance education technology, applied in the field of computer vision, can solve problems such as state misjudgment and achieve the effect of improving stability

Inactive Publication Date: 2021-09-24
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, an obvious defect of this method is that the status of students in class does not depend entirely on the characteristics of their behavior, and there is a misjudgment of the status according to the differences in classroom behavior of different students.

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
  • Student classroom concentration state detection method based on eye tracker in distance education
  • Student classroom concentration state detection method based on eye tracker in distance education
  • Student classroom concentration state detection method based on eye tracker in distance education

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with specific embodiments of the present invention and corresponding drawings. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0030] combine first Figure 1-2 Illustrate the detection method of student's lecture state in the MOOC teaching process based on LSTM (Long Short TimeMemory) of an embodiment of the present invention, image 3 It shows a system architecture diagram of an implementation of this embodiment to realize a method for detecting students' listening status in the weight ...

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 relates to an massive open online course (MOOC), in particular to a detection method for tracking the learning state of a student and evaluating the teaching effect in the online teaching process, and belongs to the field of computer vision. Due to the fact that the motion state of eyeballs is directly related to the class attending state of students, according to the student class attending concentration state detection method based on the eye tracker in remote education, the eye tracker is used for tracking the motion track of the eyeballs in real time, a student class attending concentration state detection model network model is used, the class attending state of the student is identified according to the eyeball movement track feature data, and the class attending state of the student in the MOOC teaching process can be accurately identified in real time. Compared with a traditional method, the method is more effective and accurate in the aspect of identifying the attending concentration state of the students in the MOOC.

Description

technical field [0001] The invention relates to an online course (Massive open online course, MOOC), in particular to a detection method for tracking students' learning status and evaluating teaching effect during online teaching, and belongs to the field of computer vision. Background technique [0002] In this era of information explosion, with the rapid development of the Internet, human attention has begun to shorten, and fragmented learning has become the main learning mode of human beings. Due to its micro-class teaching mode, the relative freedom of time and relatively low cost of online courses Such advantages are quickly favored by the majority of scholars. However, the online network course is still in the stage of perfection, and it has some defects. Due to the freedom of time and the current unsupervised mode, it is difficult to guarantee the learning efficiency of students. Students are likely to have problems due to insufficient self-discipline or boring course...

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): G06Q50/20G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06Q50/205G06N3/08G06N3/047G06N3/048G06N3/044G06F18/2415G06F18/241
Inventor 宋家强王庆林纪野戴亚平
Owner BEIJING INSTITUTE OF TECHNOLOGYGY