Remote learner classification method based on biological feedback

A technology of biofeedback and classification method, which is applied to teaching aids, instruments, and educational appliances operated by electricity, can solve the problems of insufficient objectivity, low learning efficiency, and untargeted learning content, etc., and achieve simple methods, improve learning interest, and use convenient effect

Inactive Publication Date: 2015-10-07
MINNAN NORMAL UNIV
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the embodiments of the present invention is to provide a method for classifying distance learners based on biofeedback, aiming to solve the problem that the learning content of existing distance teaching resources is not targeted and the learning efficiency is relatively low; the evaluation method is mainly based on subjective components, which is not enough objective question

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
  • Remote learner classification method based on biological feedback
  • Remote learner classification method based on biological feedback
  • Remote learner classification method based on biological feedback

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment

[0051] 1. Place the skin electricity, skin temperature, and EEG sensors on the measurement site of the learner respectively, and degrease the measurement site of the subject with 75% medical alcohol before placing it. Skin electricity and skin temperature signals are transmitted through wrist-type Bluetooth, and EEG is transmitted through head-type Bluetooth.

[0052] The electrodermal sensor is usually placed on the index finger of the tester's left hand.

[0053] The skin temperature sensor is usually placed on the little finger of the tester's left hand.

[0054] The EEG sensor is placed on the forehead of the tester's head, using a single-lead dry electrode structure, which can reduce the number of tests

[0055] patient's discomfort.

[0056] Debug the acquisition and receiving system so that the signal can be collected normally.

[0057] 2. The testee is in a relaxed state and turns off all interfering signals (such as mobile phones, stereos, etc.).

[0058] 3. It is...

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 discloses a remote learner classification method based on biological feedback. The remote learner classification method includes the steps that colors, characters, character orientations and music are adopted; standard pictures are manufactured according to correlation theories, wherein the colors comprise the background color, the character color and the border color; the standard background music is manufactured through the rhythm, the loudness and the tone; multi-dimensional external stimulation is carried out on learners, and multiple biological signals are generated; and related biological signals are obtained through a sensor, biological signal analysis software is used for processing, statistics and analysis of the related biological signals, and thus classification of the learners is obtained. The remote learner classification method is simple and is convenient to use; and learning contents can be formulated according to subjective intentions of the learners, the learning efficiency is improved, and the improvement of the subjective initiative learning interest is facilitated.

Description

technical field [0001] The invention belongs to the technical field of distance education, and in particular relates to a method for classifying distance learners based on biofeedback. Background technique [0002] Most of the current distance teaching resources are to put the content of traditional classroom teaching on the network server for learners to learn, which is not targeted and the learning efficiency is relatively low. The evaluation method adopts pre-evaluation by experts and post-evaluation by learners, which is mainly subjective and not objective enough. [0003] Modern distance learning is mainly self-learning, which is different from traditional class learning. Emphasis on personalized learning, resources should be targeted. To do this, it is necessary to classify the learners. Based on the classification of learner types, the purposeful development of teaching resources. [0004] On the other hand, for distance learners, before learning, tests should als...

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 Applications(China)
IPC IPC(8): G09B5/06
CPCG09B5/062
Inventor 许陵方玉宏王小群叶兴梅
Owner MINNAN NORMAL UNIV
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