Intelligent learning method, device and terminal
A technology of intelligent learning and learning status, applied in the field of education, can solve problems such as long time-consuming, low efficiency of listening to lectures, and lack of focus, so as to prevent the formation of knowledge blind spots, save playback time, and improve review efficiency.
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Embodiment 1
[0073] Such as figure 1 As shown, the embodiment of the present invention provides a kind of intelligent learning method, comprising:
[0074] S110: collecting brain waves;
[0075] S120: record audio or video;
[0076] S130: Classify the learning state according to the brain waves;
[0077] S140: Play back the recorded audio or video according to the level.
[0078] In an exemplary embodiment, the sampling interval for collecting brain waves is 1 to 3 seconds, and the sampling length is 5 to 10 seconds.
[0079] In a specific implementation process, after the step of recording audio or video, it further includes: correlating brain wave time and video time. According to the corresponding relationship in real time, correlate the time of the brain wave with the time in the video.
[0080] In the specific implementation process, such as figure 2 As shown, the step of classifying the learning state according to brain waves also includes:
[0081] S131: Preprocessing the co...
Embodiment 2
[0116] Such as Figure 4 As shown, the embodiment of the present invention provides a kind of intelligent learning device 2, comprising:
[0117] An acquisition module 210, configured to acquire brain waves;
[0118] Recording module 220, for recording audio or video;
[0119] A grading module 230, configured to classify the learning state according to brain waves;
[0120] The playback module 240 is used to play back the recorded audio or video according to the level.
[0121] In the specific implementation process, such as figure 1 As shown, the device 2 also includes:
[0122] The time correlation module 250 is used for correlating brain wave time and video time.
[0123] The time association module associates the time of the brain wave with the time in the video according to the corresponding relationship in real time.
[0124] In the specific implementation process, such as Figure 5 As shown, the classification module 230 also includes:
[0125] A preprocessing u...
Embodiment 3
[0165] Such as Figure 7 As shown, the present embodiment provides an intelligent learning terminal 3, including:
[0166] Brain wave acquisition component 301 , processing component 302 , memory 303 , camera 304 , audio input component 305 and output component 306 .
[0167] The brainwave collection component 301 can collect brainwave signals and be connected to the processing component. In an exemplary embodiment, the brainwave acquisition component is a ThinkGear AM module or a TGAM module, which acquires brainwaves 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.
[0168] The processing component 302 is generally used for the overall operation of the intelligent learning terminal 3, such as operations ...
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