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Motor imagery and P300 electroencephalographic potential-based functional key selection method

A technology of motor imagery and function keys, applied in the direction of electrical digital data processing, input/output process of data processing, input/output of user/computer interaction, etc., can solve problems such as difficulties and lengthy training time, and achieve easy operation, The effect of reducing detection time, fast and accurate function key selection

Active Publication Date: 2011-02-16
华南脑控(广东)智能科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of this invention is that for most control tasks, such as web browsing or wheelchair control, it is very difficult to control and select simply by imagining the movement tasks of different limbs, and it requires a long training time

Method used

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  • Motor imagery and P300 electroencephalographic potential-based functional key selection method
  • Motor imagery and P300 electroencephalographic potential-based functional key selection method
  • Motor imagery and P300 electroencephalographic potential-based functional key selection method

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Embodiment Construction

[0024] 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.

[0025] Such as figure 1 As shown, it is the working interface diagram of the present invention. There are 8 P300 flashing keys around the interface, among which there are three "up" keys on the top, indicating upward movement, and three "down" keys below, indicating downward movement. There is a "stop" key, which indicates the selection target operation. After the system is started, a square target and a circular cursor appear randomly, and then the user is required to control the cursor to move to the target and realize the function key selection by watching the P300 flashing key and performing left and right hand motion imagination.

[0026] Such as figure 2 As shown, the present invention provides a function key selection method based on motor imagery and P300 EEG ...

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Abstract

The invention discloses a motor imagery and P300 electroencephalographic potential-based functional key selection method, which comprises that: a user executes corresponding motor imagery and P300 visual stimulation tasks according to randomly-occurring target attributes after causing a cursor on a working interface to reach a target by using brain-computer interface equipment; the brain-computer interface equipment transmits generated electroencephalographic signals to a computer; and the computer simultaneously performs data processing and analysis on P300 information and motor imagery information in the electroencephalographic signals respectively, and finally judges whether to select or refuse the target according to analysis results. In the method, motor imagery signals and P300 signals which are independent of each other are combined and applied in the field of brain-computer interfaces; and the method has the advantages of high detection success rate and short detection time, and can be applied to motor control in the fields of auxiliary devices for the disabled and electronic entertainment.

Description

technical field [0001] The invention belongs to the field of auxiliary devices for disabled persons and electronic entertainment, and specifically refers to a function key selection method based on motor imagery and P300 electroencephalogram potential. Background technique [0002] Brain-computer interface is widely used in the field of assistive devices for the disabled and electronic entertainment. An important aspect of the application is cursor control. The purpose of cursor control is to convert EEG signals into computer cursor control instructions, and then control wheelchairs, computer mice, keyboard etc. The brain-computer interface usually includes three components: 1) signal acquisition and recording; 2) signal processing: extract the user's consciousness from the neural signal, and convert the input user's neural signal into the control of the external device through the conversion algorithm. Output instructions; 3) Control external devices: drive external device...

Claims

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Application Information

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IPC IPC(8): G06F3/048G06F3/01G06F3/0481
Inventor 李远清龙锦益余天佑
Owner 华南脑控(广东)智能科技有限公司
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