Steady-state visually evoked EEG identification method and system based on frequency domain coding

Abstract

The invention belongs to the technical field of identity information identification, and discloses a steady-state visual-induced EEG identification method and system based on frequency domain coding. The difference relationship and difference range between the fundamental and harmonic amplitudes of the EEG signals under multiple electrodes, extract the features of the EEG signals, and encode the EEG feature information of each test subject, and the encoding is completed. Then, when the new EEG information code is entered again, it can be compared with the entered code to determine whether it is the source of the information entered in advance, so as to achieve the purpose of identifying the identity. The features extracted by the frequency domain coding of the present invention are stable, simple in calculation, obvious in features, and relatively high in recognition rate. The identity recognition system constructed based on the steady-state visual evoked EEG signal is more confidential, and is not easy to be copied and forged. Compared with cumbersome processing , the efficiency of the computer has been significantly 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...

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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

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