Resting electroencephalogram identification method based on bilinear model

An identification and bilinear technology, applied in the field of resting EEG identification system, can solve the problems of loss of identification function, difficulty in duplication and forgery, and recognition rate needs to be further improved

Inactive Publication Date: 2010-09-29
TIANJIN UNIV
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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

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  • Resting electroencephalogram identification method based on bilinear model
  • Resting electroencephalogram identification method based on bilinear model
  • Resting electroencephalogram identification method based on bilinear model

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Embodiment Construction

[0053] The present invention proposes a method for identity recognition using resting EEG signals (Resting EEG), and the key technologies involved include: collection of EEG signals, signal processing, feature extraction, classification and identification, and the like. The technical process is as follows: select the appropriate scalp lead electrodes to collect the EEG signals in the resting state of the subject, perform preprocessing such as denoising on the original EEG signals, and select the relevant wave bands for research. Then a bilinear model was established to extract the EEG features, and the optimized feature parameters were classified, learned and tested through the support vector machine to realize identity recognition. Compared with other biometric identification technologies, the idea of ​​identification based on EEG is novel and has unique and significant advantages. It is a breakthrough in traditional EEG research and provides a new way to explore more diverse ...

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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...

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Application Information

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IPC IPC(8): A61B5/117A61B5/0476
Inventor 明东白艳茹綦宏志万柏坤许敏鹏
Owner TIANJIN UNIV
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