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.
CN113705732APending Publication Date: 2021-11-26EAST CHINA UNIV OF SCI & TECH
5 Cites 2 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
EAST CHINA UNIV OF SCI & TECH
Publication Date
2021-11-26

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

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.
Need to check novelty before this filing date? Find Prior Art

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

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