Electroencephalogram-based identity recognition method

Abstract

The invention provides an electroencephalogram-based identity recognition method, which comprises the following steps of: inducing a testee to carry out stable self-propagated body memory, and collecting electroencephalogram signals in the stable self-propagated body memory process of the testee; identity recognition is carried out by using the electroencephalogram signals in the process of carrying out stable self-propagating memory on the testee. According to the invention, the security and convenience of identity recognition can be improved. According to the method, stable autopass memory is induced by setting specific music, and electroencephalogram signals in the memory process are collected and used for recognition. Through preprocessing such as de-noising of an initial signal, feature extraction is carried out from multiple dimensions, and the music-induced autopass memory electroencephalogram signal has an excellent effect on identity verification.

Description

technical field [0001] The invention relates to an EEG-based identification method, belonging to the technical field of identification. Background technique [0002] The increasingly updated information technology has made personal identity authentication widely used in information security, access control, security monitoring and other fields. Biometrics also occupy a place in identity authentication due to its uniqueness and continue to expand. Biometrics include speech, signature, and gait based on human behavioral biometrics, as well as focusing on human physiology such as face, iris, and fingerprints. At present, facial recognition and fingerprint recognition are widely used in daily life and become one of the most commonly used authentication methods. Nevertheless, it is undeniable that these reproducibility and non-reproducibility based on human biological characteristics bring great risks to information security. [0003] On the other hand, considering the developm...

AI Technical Summary

Problems solved by technology

Up to now, many mental tasks are for the subjects to learn and remember new things, think about problems, etc., and a person's thinking ability, memory energy and attention level are limited by the environment, emotions and personal state to a certain extent, and rarely Studies have shown that these factors have no effect on the final result, on the other hand, some mental tasks can increase the user's mental fatigue

The above reasons make it difficult to apply the existing technology to identity recognition, and the accuracy, operability and convenience are not enough.

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