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A steady-state visual evoked electroencephalogram identity recognition method and system based on frequency domain coding

A technology of steady-state visual induction and frequency-domain coding, which is applied in the field of identity information identification, can solve problems such as low signal-to-noise ratio of EEG signals, large amount of calculation of EEG signals, and indistinct features

Active Publication Date: 2019-05-17
XIDIAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0009] (2) Event-related potentials are not suitable for subjects with cognitive impairment
[0010] (3) The signal-to-noise ratio of the EEG signal is low and the features are not obvious, and the existing methods require a large amount of calculation to process the EEG signal

Method used

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  • A steady-state visual evoked electroencephalogram identity recognition method and system based on frequency domain coding
  • A steady-state visual evoked electroencephalogram identity recognition method and system based on frequency domain coding
  • A steady-state visual evoked electroencephalogram identity recognition method and system based on frequency domain coding

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specific Embodiment 2

[0102] S1: System information entry: The person who needs to enter information wears an electrode cap, sits on a chair and looks at the monitor 1m away from him, and collects the person's EEG signal.

[0103] S2: Process the collected EEG signals with a frequency-domain coding-based steady-state visually evoked EEG identification method.

[0104] S3: Input the processed EEG signal into a frequency-domain coding-based steady-state visually evoked EEG identification method and system.

[0105] S4: The authenticated person wears an electrode cap, sits on a chair and looks at the monitor 1m away from him, and collects the person's EEG signal.

[0106] S5: Process the collected EEG signals with a frequency-domain coding-based steady-state visually evoked EEG identification method.

[0107] S6: Comparing the encoded EEG signal with the existing codes stored in the frequency-domain coding-based steady-state visually evoked EEG identification method and system to find the identity in...

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Abstract

The invention belongs to the technical field of identity information identification, and discloses a steady-state visual evoked electroencephalogram identity recognition method and system based on frequency domain coding. The method is characterized in that differential brain waves generated by different testees under the stimulation of the same frequency are taken as a basis; the difference relation and the difference range of the electroencephalogram signals on the fundamental wave and harmonic wave amplitudes under the plurality of electrodes are utilized to extract the characteristics of the EEG signals, the EEG characteristic information of each tested person is coded, after coding is completed, when new EEG information codes are input again, the new EEG information codes are comparedwith input codes, whether the new EEG information codes are information source persons input in advance or not can be judged, so that the purpose of identity recognition is achieved. According to themethod, the characteristics extracted by frequency domain coding are stable, the calculation is simple, the characteristics are obvious, the recognition rate is relatively high, an identity recognition system constructed on the basis of steady-state vision-induced electroencephalogram signals is more confidential and not easy to copy and forge, and compared with the complex processing, the efficiency of a computer is obviously improved.

Description

technical field [0001] The invention belongs to the technical field of identity information identification, and in particular relates to a frequency-domain coding-based steady-state visually induced EEG identity identification method and system. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: the research and development of identity recognition systems are very important for social life and personal daily life. Technology, that is, through the close combination of computer and high-tech means such as optics, acoustics, biosensors and biostatistics principles, using the inherent physiological characteristics of the human body (such as hand shape, fingerprints, facial features, iris, retina, etc.) and behavioral characteristics (such as handwriting , voice, gait), etc. to carry out personal identity identification. EEG signals are generated by the transmission of information in the form of ions by neurons in th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06F21/32
Inventor 赵恒胡煜汪旭震陈博武宋松李军刘鹏
Owner XIDIAN UNIV
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