Assistant reviewing method, device and equipment

A technology of learning status and physiological data, applied in the field of education, can solve problems such as time-consuming and low review efficiency, and achieve the effects of convenient review, improving learning efficiency, and avoiding low efficiency of comprehensive review

Inactive Publication Date: 2017-11-24
肇庆高新区长光智能技术开发有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The embodiment of the present invention provides an auxiliary review method, device and equipment to solve the problem of reviewing all knowledge points in the prior art, which...

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  • Assistant reviewing method, device and equipment
  • Assistant reviewing method, device and equipment
  • Assistant reviewing method, device and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] Such as figure 1 As shown, the embodiment of the present invention provides an auxiliary review method, including:

[0050] S110: collecting physiological data;

[0051] S120: record audio;

[0052] S130: Classify the learning state according to the physiological data, and the learning state includes a low-efficiency learning period and a drowsy period;

[0053] S140: performing speech recognition on the audio recorded during the low-efficiency learning period or the dozing period;

[0054] S150: Query corresponding knowledge points according to the text generated by speech recognition;

[0055] S160: Display the corresponding knowledge points.

[0056] By performing speech recognition on the audio recorded during the low-efficiency learning period or dozing period and querying the corresponding knowledge points, the knowledge content taught during the low-efficiency learning period can be quickly located, so that users can review with focus and avoid low review eff...

Embodiment 2

[0106] Such as Figure 5 As shown, the embodiment of the present invention provides an auxiliary review device 2, including:

[0107] A collection module 210, configured to collect physiological data;

[0108] Recording module 220, for recording audio;

[0109] A grading module 230, configured to classify the learning state according to the physiological data;

[0110] The recognition module 240 is used for performing speech recognition on the recorded audio during the low-efficiency learning period or the dozing period;

[0111] Query module 250, used for querying corresponding knowledge points according to the text generated by speech recognition;

[0112] A presentation module 260, configured to present the corresponding knowledge points.

[0113]In the specific implementation process, the physiological data may include one or more of brain wave, electrocardiogram, myoelectricity, pulse, heart rate, skin temperature, skin electricity, myoelectricity, face image, blood p...

Embodiment 3

[0152] Such as Figure 8 As shown, the present embodiment provides an auxiliary review device 3, comprising:

[0153] Physiological data collection component 301 , processing component 302 , memory 303 , communication component 304 , audio input component 305 , output component 306 .

[0154] The physiological data collection component 301 can collect physiological data signals and be connected to the processing component. In an exemplary embodiment, the physiological data collection component is a ThinkGear AM module, which obtains brain waves through the potentials at the forehead electrodes and earlobe. The brain wave signal is captured by the brain wave acquisition component, and after processing, the data such as the brain wave spectrum, the quality of the EEG signal, and the original brain wave are screened out and transmitted to the processing component.

[0155] The processing component 302 is generally used to assist the overall operation of the review device 3, suc...

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Abstract

The invention provides an assistant reviewing method. The method includes the steps of collecting biological data, recording audio, and classifying learning states according to the biological data, wherein the learning states include a low-efficiency learning stage and a doze stage; conducting voice identification on the audio recorded during the low-efficiency learning stage or the doze stage; searching corresponding knowledge points according to the text generated by the voice identification; displaying the corresponding knowledge points. The invention also provides an assistant reviewing device and equipment. The device and equipment can solve the technical problems that since knowledge points all need to be reviewed, time consumption is large, the learning content acquired during a low-efficiency learning stage is unimpressive in the massive knowledge points so that the reviewing efficiency is low in the existing techniques, and therefore the reviewing time can be saved, and the reviewing key points can be highlighted.

Description

technical field [0001] The present invention relates to the field of education, in particular to an auxiliary review method, device and equipment. Background technique [0002] When people are in different states such as high-efficiency learning, low-efficiency learning, and drowsiness, the physiological data characteristics of the human body are also different. For example, according to frequency, brain waves can be divided into delta waves, theta waves, alpha waves, beta waves, etc. from low to high frequencies. When the alpha band with a frequency of 8-13Hz is the dominant brain wave, the human body enters a state of relaxation and alertness, with highly concentrated mind, good memory and strong creativity, which is the best state for learning. When the β wave with a frequency of 13-25Hz is the dominant brain wave, the human body is in a state of tension. At this time, the classroom atmosphere is often too tense or the pressure is too high, and students feel bored or fea...

Claims

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Application Information

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IPC IPC(8): G06F17/30G09B5/04G10L15/26G06Q50/20
CPCG09B5/04G06F16/3334G06F16/338G06F16/9535G06Q50/20G10L15/26
Inventor 吴家隐
Owner 肇庆高新区长光智能技术开发有限公司
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