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A target recognition feedback system and method based on n2pc

A target recognition and feedback system technology, applied in the input/output process of data processing, input/output of user/computer interaction, instruments, etc., can solve the problem that the information transmission rate is not very high

Active Publication Date: 2021-08-17
CHONGQING UNIV OF POSTS & TELECOMM
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The information transfer rate is not very high due to the need for repeated stimuli to ensure system stability

Method used

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  • A target recognition feedback system and method based on n2pc
  • A target recognition feedback system and method based on n2pc
  • A target recognition feedback system and method based on n2pc

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Experimental program
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Embodiment Construction

[0059] This embodiment provides a target recognition feedback system based on N2pc, such as figure 1 As shown, it includes presentation stimulus paradigm and feedback module, signal acquisition and processing module. The stimuli presented by the stimuli module will induce the user to elicit event-related potentials. In online control, the data processing module processes EEG signals and sends control signals, and the feedback module realizes real-time feedback. In the system, signal transmission adopts UDP protocol to improve real-time performance.

[0060] In order to better illustrate the technical effect of the present invention, on the basis of the original design of the present invention, this embodiment also adds technical content for the purpose of result verification.

[0061] In an offline experiment, a visual search paradigm was developed based on Python. figure 2 An example of a paradigm flow is shown. When the experiment starts, the central fixed cross first a...

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Abstract

The invention discloses an N2pc-based target recognition feedback system, including: an offline training module, which is used to make the user search for the target and generate N2pc by visually stimulating the user, and collect the user's EEG data and the search result directly fed back by the user , and then use the search results and the N2pc features in the user's EEG data as training samples to train the classifier; the online module is used to collect the user's EEG data in real time when the user performs a target search, and use the classifier to classify the The N2pc feature of the EEG data can identify the result of the user's target search; the online module includes a feedback module, which is used to provide the user with helpful feedback when the online module determines that the user's target search result cannot be recognized. The invention also discloses an N2pc-based object recognition feedback method, which has the technical effect of improving search efficiency.

Description

technical field [0001] The invention relates to the field of visual search human-computer interaction, in particular to a BCI system and method for target recognition and feedback based on N2pc. Background technique [0002] N2pc is an ERP component closely related to spatial selective attention. "N" stands for negative wave (negative), and "2" means that the component appears about 200ms-300ms after stimulation. "pc" refers to its scalp distribution location, the posterior contralateral area of ​​the target stimulation. Due to the contralateral nature of N2pc, it can be used for target location identification. In the past 20 years, N2pc has been widely studied in the fields of spatial attention and visual selection. At present, because the research on spatial attention is still at the level of perception and visual short-term memory, the more common N2pc paradigms include visual search paradigm, visual short-term memory paradigm and their variants. Most of the existing ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2457G06F3/01
CPCG06F3/015
Inventor 田银张海勇马亮巫昱山
Owner CHONGQING UNIV OF POSTS & TELECOMM