Unlock instant, AI-driven research and patent intelligence for your innovation.

Target identification 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, special data processing applications, etc., can solve the problem of low information transmission rate and achieve high computing performance , the effect of good classification performance

Active Publication Date: 2018-11-30
CHONGQING UNIV OF POSTS & TELECOMM
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Target identification feedback system and method based on N2pc
  • Target identification feedback system and method based on N2pc
  • Target identification feedback system and method based on N2pc

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a target identification feedback system based on N2pc. The target identification feedback system comprises an offline training module and an online module, wherein the offlinetraining module is used for stimulating the vision of a user to enable the user to search the target and produce N2pc, and acquiring the electroencephalogram data of the user and the search result directly fed back by the user, and the search result and the N2pc features in the electroencephalogram data of the user are used as a training sample to train a classifier; the online module is used foracquiring the electroencephalogram data of the user in real time when the user searches the target, and the classifier is used for classifying the N2pc features in the electroencephalogram data, so asto obtain the result of the target searching of the user; the online module comprises a feedback module, and the feedback module is used for providing the feedback for the user to search when the target search result of the user cannot be identified by the online module via judgment. The invention also discloses a target identification feedback method based on the N2pc. The target identificationfeedback system has the technical effect that the search efficiency is improved.

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F3/01
CPCG06F3/015
Inventor 田银张海勇马亮巫昱山
Owner CHONGQING UNIV OF POSTS & TELECOMM