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Brain computer interface mouse control-based Internet browsing method

A brain-computer interface, Internet technology, applied in the input/output of user/computer interaction, computer components, mechanical mode conversion, etc. Control speed and precision, use flexible effects

Active Publication Date: 2012-10-31
华南脑控(广东)智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of this type of technology is that all hyperlinks must be listed separately, an independent display interface is required, or repeated switching between interfaces is required
The disadvantage of this type of method is: because the discrete selection mechanism is adopted, the user must wait for the user to read the content of the page according to the preset time after each activation of the link, which is not flexible enough
In addition, SCP is also used as the control signal, which has the problem of low information transmission rate.

Method used

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  • Brain computer interface mouse control-based Internet browsing method
  • Brain computer interface mouse control-based Internet browsing method
  • Brain computer interface mouse control-based Internet browsing method

Examples

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Embodiment Construction

[0030] The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0031] Such as figure 1 As shown, the present invention provides a method of Internet browsing based on brain-computer interface mouse control. First, the system is initialized, and then the mouse is controlled to move to the target area in the browser interface based on motor imagery and P300 EEG potential. If the target is text input class target, the interface will switch to the P300 text input interface, use the P300 signal detection to realize text input, return to the browser interface after the text input is completed, and write the text input result into the selected text input box, if the target is not a text input class The target judges whether to click the target through motor imagery and P300 EEG information. If yes, click the target to open a new interface,...

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Abstract

The invention discloses a brain computer interface mouse control-based Internet browsing method, which comprises the following steps of: initializing a system; controlling a mouse to move to a target area in a browser interface based on motor imagery and P300 electroencephalogram potentials; if a target is a text input target, switching the interface to a P300 text input interface, inputting characters by using P300 signal detection, returning to the browser interface after finishing inputting the characters and writing text input results into a selected text input box; and if the target is not the text input target, judging whether to click the target or not according to the motor imagery and P300 electroencephalogram potential information, clicking the target to open a new interface if determining to click the target, otherwise, controlling the mouse to continuously move in the interface. The brain computer interface mouse control-based Internet browsing method has the advantages ofhigh control speed, high accuracy, good effect, working stability and capacity of realizing continuous control, and can be used under the condition of irremovability of a body or the computer mouse due to external or internal factors.

Description

technical field [0001] The invention relates to the field of brain-computer interface, in particular to an Internet browsing method based on mouse control of the brain-computer interface. Background technique [0002] Brain computer interface (BCI) refers to the direct communication and control channel established between the human brain and computers or other electronic devices, which does not depend on the normal physiological output pathways of the brain (peripheral nervous system and muscle tissue) , is a brand-new human-computer interface method, and is a hot topic in brain function research in recent years. Currently, there are two types of brain-computer interface technologies: invasive and non-invasive. The signal accuracy obtained by the invasive brain-computer interface is relatively high, the signal-to-noise ratio is high, and it is easy to analyze and process. There is a greater risk of infection or injury. Although the brain signal obtained by the non-invasiv...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/048G06F3/01G06F3/0483
Inventor 李远清余天佑龙锦益
Owner 华南脑控(广东)智能科技有限公司
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