Identity identification method based on visual evoked potential (VEP)

A visual induction and identification technology, applied in human identification, medical science, sensors, etc., can solve the problems of difficulty in copying and forgery, loss of identification function, etc., and achieve the effect of difficulty in copying, high measurement accuracy, and high recognition accuracy.

Inactive Publication Date: 2010-09-15
TIANJIN UNIV
View PDF6 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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)
[

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
  • Identity identification method based on visual evoked potential (VEP)
  • Identity identification method based on visual evoked potential (VEP)
  • Identity identification method based on visual evoked potential (VEP)

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] Different from the resting EEG, the present invention is based on visually evoked EEG (VEP). Visual Evoked Potential (VEP) is an evoked EEG signal generated when a subject receives a special visual stimulus (such as observing a picture). Studies have shown that VEP in the gamma band (30-50Hz) is closely related to higher-level brain functional activities, such as memory and cognition. Since memory and cognitive levels usually reflect individual differences, VEP signals in this band can be used for identification.

[0035] The present invention proposes a method for identity recognition using visually evoked EEG (VEP) in the gamma band, and the key technologies involved include: collection of EEG signals, signal processing, feature extraction, classification and identification, and the like. The technical process is: apply some kind of image stimulus to the subject, select the appropriate scalp lead electrodes to collect the visually evoked EEG of the subject, perform p...

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 belongs to the field of brain electricity and identity identification, providing an identity identification method which can effectively describe the components of the characteristic of the brain electricity and can achieve the requirement for improving the identification rate. The technical scheme is that the identity identification method based on visual evoked potential (VEP) comprises the following steps of: applying some image stimulation to a subject; selecting a proper scalp leading electrode to capture the visual evoked potential of the subject; preprocessing an original brain electricity signal in a de-noising way; extracting a gamma wave band power spectrum to be taken as the characteristic of the brain electricity to be researched; processing the characteristic of the brain electricity with Fisher linear discrimination; and studying and testing the optimized characteristic parameter in a classifying way through a BP neural network to realize the identity identification. The method is mainly applied to the identity identification.

Description

technical field [0001] The invention relates to the field of electroencephalography and identification, in particular to an identification method based on visually evoked electroencephalogram VEP. 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 the 10 most likely tech...

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
IPC IPC(8): A61B5/117A61B5/0484
Inventor 明东白艳茹徐瑞任玥綦宏志万柏坤
Owner TIANJIN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products