Learning fatigue recognition interference method based on facial expression recognition

Abstract

A learning fatigue recognition interference method based on facial expression recognition comprises the following steps: face region detection; facial feature extraction, comprising the establishment of a face expression facial model; expression classification recognition, namely carrying out classification recognition based on the face expression facial model; carrying out fatigue interference when recognizing fatigue expression or mental fatigue, and returning to continue to catch network learner picture image for next recognition after presetting shorter time; returning to continue to catch network learner picture image for next recognition after suspending presetting longer time in a manner that a system enters suspension when determining the learner is in neutral or absorbed expression or no mental fatigue; returning to continue to catch network learner picture image for next recognition when returning error messages. The technical scheme provided by the invention can rapidly recognize the expression of network learners and realize real-time learning fatigue interference.

Description

technical field [0001] The invention belongs to the technical field of network learning, in particular to a learning fatigue recognition intervention method based on facial expression recognition. Background technique [0002] E-learning, like other human activities, will lead to physical and mental consumption, thus showing physical and psychological tension or emotional state of exhaustion. "Learning fatigue" is an important concept in psychology and pedagogy. Generally speaking, learning fatigue refers to the physical and psychological fatigue caused by continuous learning for a long time, which leads to a decline in learning efficiency, and even to the state of being unable to continue learning. [0003] There are many forms of learning fatigue. Study fatigue can be mainly divided into physical fatigue, that is, physical fatigue, and psychological fatigue, that is, brain fatigue. Some fatigue phenomena can be perceived by the subject, and some learning fatigue phenome...

AI Technical Summary

Problems solved by technology

[0007] (1) There are some deficiencies in the existing driver or learner fatigue identification and intervention methods: some driver fatigue identification methods require the active participation of the driver to collect fatigue characteristic signals, which require the driver's active cooperation or physical contact, which will affect The driving state of the driver; some methods based on digital image processing technology are simply characterized by the closed state of the eyes and the blinking frequency, which affects the effectiveness of the recognition system; because image acquisition is greatly affected by various external conditions, different lighting conditions, Angle of view, distance changes, etc. will affect the quality of face image acquisition, as well as the degree of expression and the similarity between expressions and other factors, resulting in the low accuracy and unstable performance of most facial expression recognition systems

And only pay attention to the driver's physical fatigue, not enough attention to the driver's psychological fatigue

[0008] (2) The existing method of promoting emotional communication in the online learning environment from the teaching design of online courses, using multimedia technology, BBS or even QQ and other chat tools, only strengthens emotional communication unilaterally to prevent learning fatigue, and still cannot actively identify learning Whether the patient enters into a state of fatigue, does not distinguish between physical fatigue and psychological fatigue, and there is no intervention

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