Resting electroencephalogram identification method based on bilinear model

Abstract

The invention relates to the technical field of using electroencephalogram for identification. The invention provides a method capable of more comprehensively reflecting and analyzing information of electroencephalogram, extracting effective electroencephalogram feature parameters with obvious individual variation from the information and realizing the aim of identification. Therefore, the technical scheme of the invention is as follows: the resting electroencephalogram identification method based on bilinear model comprises the following steps: using an electrode cap worn on the head of a subject to collect the original resting electroencephalogram signals; processing the original resting electroencephalogram signals; establishing a composite model with of linear and nonlinear components; adopting main components to analyze PCA and perform data dimension reduction; and performing identification based on a support vector machine. The invention is mainly used for identification.

Description

technical field [0001] The invention relates to the technical field of identity recognition through brain electricity, in particular to a resting brain electricity identity recognition system based on a bilinear model. Background technique [0002] Biometric identification is the identification of personal identity through various high-tech information detection methods and the use of the inherent physiological or behavioral characteristics of the human body. Biological characteristics mainly include physiological characteristics and behavioral characteristics: physiological characteristics refer to innate and congenital physical characteristics of the human body, such as fingerprints, irises, palm shapes, faces, etc.; behavioral characteristics refer to the actions performed by people. The features extracted from sports are mostly acquired, such as handwriting, keystrokes, gait, etc. In the MIT Technology Review magazine in 2001, biometric technology was listed as one of t...

AI Technical Summary

Problems solved by technology

In contrast, some traditional biometrics (such as fingerprints or voices) may lose their own identification functions due to accidental damage (such as skin burns on the hands or loss of voice)

[0010] (4) EEG exists and only exists in the living body, so it can only be used for in-body detection. Compared with external features such as fingerprints, it is more difficult to copy and forge

However, early studies have shown that EEG signals not only contain linear components, but also non-linear components, so the recognition rate needs to be further improved

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