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Method and device for reducing P300 training time based on general model

A general model, training time technology, applied in applications, character and pattern recognition, medical science, etc., can solve problems such as user fatigue, reduce system efficiency and performance, achieve high user satisfaction, and shorten training time.

Pending Publication Date: 2021-11-26
EAST CHINA UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] P300-based BCI requires long offline training, which causes user fatigue and reduces system efficiency and performance

Method used

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  • Method and device for reducing P300 training time based on general model
  • Method and device for reducing P300 training time based on general model
  • Method and device for reducing P300 training time based on general model

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Embodiment Construction

[0052] In order to make the above objects, features and advantages of the present invention more comprehensible, specific implementations of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0053] In the following description, many specific details are set forth in order to fully understand the present invention, but the present invention can also be implemented in other ways than those described here, so the present invention is not limited by the specific embodiments disclosed below.

[0054] As indicated in this application and claims, the terms "a", "an", "an" and / or "the" do not refer to the singular and may include the plural unless the context clearly indicates an exception. Generally speaking, the terms "comprising" and "comprising" only suggest the inclusion of clearly identified steps and elements, and these steps and elements do not constitute an exclusive list, and the method or device may also contain other st...

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Abstract

The invention relates to a method and device for reducing P300 training time based on a general model. The method for reducing the P300 training time comprises the following steps of S1, establishing a general model set, including the following steps of S11, acquiring data; S12, processing data; and S13, carrying out model training; S2, matching the models, acquiring the new tested electroencephalogram data, performing online calibration, classifying the new tested electroencephalogram data by using the general model set, matching the new tested electroencephalogram data with the general models in the general model set, and selecting an optimal matching model; and S3, completing a new tested online recognition task, and classifying the new tested electroencephalogram data by using the optimal matching model in combination with an adaptive strategy. According to the scheme provided by the invention, the online identification task can be completed only by calibrating a small amount of individual data when a new user joins in.

Description

technical field [0001] The present invention relates to the field of general model construction of Brian Computer Interface (BCI) technology, in particular to a method and device for reducing training time of P300 based on general model. Background technique [0002] Brain Computer Interface technology (Brain Computer Interface, BCI) was clearly defined in the first international brain-computer interface technology conference in 1999. It is a normal output pathway (peripheral nervous system and muscle tissue) that does not depend on the brain. Brain-computer communication system. In 1970, Professor Jacques Vidal and his team developed the world's first brain-computer interface system, which realized the movement of the mouse on the screen by obtaining the user's brain information. Brain-computer interface technology can convert electroencephalography (EEG) signals into control commands, which can help patients with diseases such as amyotrophic lateral sclerosis (ALS) commun...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62A61B5/369A61B5/377
CPCA61B5/369A61B5/377A61B5/7267A61B5/725A61B5/7203G06F18/23213G06F18/24G06F18/214
Inventor 金晶赵雪晴
Owner EAST CHINA UNIV OF SCI & TECH
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