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

Inactive Publication Date: 2016-01-13
刘 志勇
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing evaluation methods are relatively subjective, and there is no objective data support

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Classroom teaching evaluation system and method based on EEG frequency domain feature index algorithm
  • Classroom teaching evaluation system and method based on EEG frequency domain feature index algorithm
  • Classroom teaching evaluation system and method based on EEG frequency domain feature index algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the field of EEG signal acquisition and processing, in particular to a classroom teaching evaluation system and method based on an EEG frequency-domain feature index algorithm. The system includes an EEG acquisition device, an IC circuit, an audio and video acquisition device, a data communication device, a data processing and storage device, and the EEG acquisition device and the audio and video acquisition device collect the user's EEG signal and the classroom environment respectively. The audio and video signals, the data processing and storage device, and the collected data are processed and displayed to the classroom teacher, so as to grasp the status of the user in the classroom in time. The beneficial effects of the present invention are as follows: (1) The present invention can record the attention index of the students throughout the process, and provide teachers with objective and accurate evaluation and judgment. (2) The present invention records the classroom teaching situation in the whole process of video and audio recording, which is true and reliable. (3) The present invention can reflect whether the student's attention is concentrated in real time.

Description

technical field [0001] The invention belongs to the field of EEG signal acquisition and processing, in particular to a classroom teaching evaluation system and method based on an EEG frequency-domain feature index algorithm. Background technique [0002] Classroom teaching evaluation refers specifically to the evaluation activities of objects that appear in the course of classroom teaching implementation. Its evaluation scope includes two aspects of teaching and learning, and its value lies in classroom teaching. Classroom teaching evaluation is an important means to promote students' growth, teachers' professional development and improve the quality of classroom teaching. Therefore, how to evaluate classroom teaching scientifically and effectively has become a basic part of modern teaching. It is not only the basis of successful teaching, but also the basis of various educational decisions. [0003] The current evaluation methods generally use on-site observation or video ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0476A61B5/16
Inventor 刘志勇
Owner 刘 志勇
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap