Classroom teaching evaluation system and method based on EEG frequency domain feature index algorithm
A technology of teaching evaluation and frequency domain characteristics, applied in medical science, psychological devices, sensors, etc., can solve problems such as high subjectivity and no objective data support
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[0044] Such as figure 1 As shown, the present invention is a classroom teaching evaluation system based on EEG frequency domain characteristic index algorithm, including EEG acquisition device 1, audio and video acquisition device 2, data communication device 3, data processing and storage device 4, EEG acquisition device devices, audio and video capture devices. Separately collect the user's EEG signal and audio and video signals, the data processing and storage device will process the collected data and display it to the classroom teacher, so as to grasp the status of the user in the classroom in a timely manner. The EEG collection device includes: EEG A signal acquisition electrode, an EEG signal reference electrode and an EEG signal processor. In actual use, various shapes and structures can be adopted, as long as the shape of the user's EEG signal can be successfully collected. The acquisition device samples and quantifies the analog brain waves generated by human brain...
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