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A brain-computer interface visual stimulation method and signal recognition method

A visual stimulation, machine interface technology, applied in the field of neuroengineering, can solve problems such as increasing the user's eye fatigue

Active Publication Date: 2016-03-02
PEKING UNIV
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Problems solved by technology

[0004] Brain-computer interface systems that use steady-state visual evoked potentials as input signals have the advantages of high information transmission rate, short training time, and easy feature extraction. Increase the fatigue of the user's eyes

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  • A brain-computer interface visual stimulation method and signal recognition method
  • A brain-computer interface visual stimulation method and signal recognition method
  • A brain-computer interface visual stimulation method and signal recognition method

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Embodiment Construction

[0045] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The preferred embodiments of the present invention will be described in more detail below with reference to the accompanying drawings of the present invention.

[0046] A brain-computer interface method based on active confirmation of steady-state visual evoked potentials, comprising the following steps:

[0047] Step 1: In the occipital lobe O of the subject's head Z An electroencephalograph electrode (EEG electrode) is placed at the position, a reference electrode is placed at the position of one ear pinna, and a grounding electrode is placed at the position of the other ear pinna. signal (such as figure 2 and image 3 ), and use wireless devices and computers for data transmission, and use computers to store the collected EEG signals.

[0048] Step 2: Use the display screen to display the stimulus picture. First, the display screen will display a black screen for 10s. The purpose is to record the resting EEG signal...

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Abstract

The invention discloses a brain-computer interface (BCI) visual stimulation method and a signal identification method. The visual stimulation method includes that an image to be displayed is modulated in a set frequency sine mode and then displayed; and the modulated properties includes brightness, sizes, shapes and turning angles. The signal identification method includes: (1) simultaneously displaying a plurality of different images with different flicker frequencies in a sinusoidal modulation mode, and collecting electroencephalograms (EEG) of a test subject; (2) carrying out feature extraction and judgment on the EEGs, and confirming in a preliminary mode the image gazed by the test subject; and (3) disturbing the flicker frequencies of the images, collecting the EEGs and confirming the image gazed by the test subject, if the confirmed image is identical to that in step (2), and then outputting the image as finally confirmed identification information; and if not, judging that the test subject does not gaze any image displayed by a visual stimulation unit. According to the BCI visual stimulation method and the signal identification method, eyestrain can be greatly relieved, and accuracy of EEG identification is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of neural engineering, and in particular relates to a steady-state visual evoked potential, a brain-computer interface visual stimulation method and a signal recognition method. Background technique [0002] Brain-Computer Interface (BCI) is a system that realizes direct communication and control between the brain and computers or other devices based on EEG signals. The brain-computer interface can directly convert the information sent by the brain into commands that can drive external devices, and can replace human limbs to realize the communication between human and the external world and the control of the external environment. Currently, there are two types of brain-computer interface systems: 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 ri...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01A61B5/0484G06K9/00
Inventor 吴玺宏朱风云刘文韬王宁
Owner PEKING UNIV
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