Student class listening attention evaluation method based on electroencephalogram analysis

Abstract

The invention discloses a student class listening attention evaluation method based on electroencephalogram analysis. In order to solve the problem that the student class listening attention concentration degree is hard to express, the student class listening attention evaluation method based on electroencephalogram analysis comprises the steps of 1, collecting electroencephalograms of a student,wherein original electroencephalograms are collected, front first-class amplification treatment is performed on the original electroencephalograms, the electroencephalograms obtained after first-classamplification treatment are amplified again, and the amplified electroencephalograms are converted into digital signals; 2, analyzing the electroencephalograms, wherein working frequency interferenceof the electroencephalogram is removed, low-pass filtering treatment is performed on the electroencephalograms, ocular artifacts are removed, feature extraction and quantification are performed, anda sample entropy is obtained as the attention concentration degree; 3, sending the quantified attention concentration degree through a wireless sending device; 4, receiving the attention concentrationdegree data through a wireless receiving device; 5, storing the concentration degree data within a period of time; 6, showing the data through a visualized interface.

Description

technical field [0001] The invention relates to an evaluation method belonging to the fields of cognitive neuroscience and information technology, more precisely, the invention relates to an evaluation method of students' listening attention based on electroencephalogram signal analysis. Background technique [0002] Changes in human emotions and states are related to changes in their own brain signals to a certain extent. In the classroom, the more concentrated the students' attention, the more clearly they can grasp what the teacher said, and the change of the concentration of attention is closely related to the change of the EEG signal. [0003] When groups of brain cells are active, they generate rhythmic electric field fluctuations. Electroencephalogram (Electroencephalograph, EEG) is the overall reflection of this electric field fluctuation on the surface of the cerebral cortex or scalp, recording the changes in electrical signals during brain activity. The EEG signa...

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to solve the problem that it is difficult to characterize the concentration of students' attention in lectures, and provides a method for evaluating students' attention in lectures based on EEG signal analysis

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