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Learning monitoring and testing method based on brain computer interface mobile terminal

A mobile terminal, brain-computer interface technology, applied in the field of robot learning, can solve the problems of easy distraction, lack of a clear understanding of knowledge mastery, unsatisfactory learning efficiency, etc., to achieve the effect of deepening the impression

Active Publication Date: 2017-10-10
HARBIN ENG UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

However, the fast-paced life often makes the user's learning efficiency unsatisfactory. During the learning process, the attention is easily distracted, and there is no clear understanding of the degree of knowledge learned.

Method used

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  • Learning monitoring and testing method based on brain computer interface mobile terminal
  • Learning monitoring and testing method based on brain computer interface mobile terminal
  • Learning monitoring and testing method based on brain computer interface mobile terminal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0028] Learning process monitoring steps based on EEG data:

[0029] refer to figure 1 The specific process is as follows:

[0030] Step 1: Initialize the brain-computer interface device, and establish communication between the brain-computer interface device and the mobile terminal through Bluetooth.

[0031] Step 2: The user customizes the way of resting when the brain is fatigued.

[0032] Step 3: The mobile terminal establishes the EEG data storage buffer Buf of the FIFO model, sets relevant parameter values, and takes Size=100, T min =30 (time unit is minutes), T max =90,T interval = 2, Att tr =85,Wea tr =85,Str tr =90. Initialize the learning application on the mobile terminal, and the user selects learning content to start learning.

[0033] Step 4: Every 1s, the mobile terminal reads the data packet sent by the EEG device, and judges whether the signal quality value is greater than Str tr , if less than Str tr Then ignore the packet, if it is greater than St...

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Abstract

The invention provides a learning monitoring and testing method based on a brain computer interface mobile terminal. A user wears a mobile learning terminal with brain computer interface, the user's concentration is detected by computer equipment, and the learning terminal gives a hint when the user's concentration is lower than the set threshold. At the same time, the user's using brain volume and learning duration are detected in the process, the learning terminal gives a rest hint when the user's learning duration or brain volume is higher than the preset threshold. Finally, when the user finishes a paragraph, the learning terminal can give relevant test questions, the questions can be changed randomly. Through perceiving the user's familiarity by the brain electrical device, the user's mastery of learnt content is understood, and content not well mastered by the user is presented again.

Description

technical field [0001] The invention relates to a learning method for a robot, in particular to a learning method for a mobile terminal based on a brain-computer interface. Background technique [0002] Smart mobile terminals have been quite popular in people's lives. People can use them to communicate, shop online, travel and navigate, learn knowledge, etc., and they are almost always with everyone. The current smart mobile terminal is actually not fully equipped with real "intelligence", because it does not understand people's consciousness, and still passively accepts people's orders, but its functions are becoming more and more diverse. The realization of real intelligence can start from two aspects. One is to enable the terminal to have the function of self-learning, and finally have the ability to understand the user's intention through data mining and deep learning of user operation experience; the other is to integrate the user's intention through the brain-computer ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01G06Q50/20
CPCG06F3/015G06Q50/205
Inventor 孙云龙高延滨管练武曾建辉何昆鹏孟龙龙李抒桐张帆
Owner HARBIN ENG UNIV
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