Identity recognition method based on taste-induced electroencephalogram signals in remote medical system

Abstract

The invention discloses an identity recognition method based on taste-induced electroencephalogram signals in a remote medical system. The identity recognition method comprises the following steps: carrying out a user registration stage: preprocessing an initial electroencephalogram data set; selecting an optimal electrode channel corresponding to the user, an effective time period and an optimalfeature on each corresponding channel by utilizing a point-by-point double-column correlation coefficient method and a relation coefficient, extracting an electroencephalogram signal feature value forencoding, generating a 64-bit DES encryption algorithm key by utilizing the electrocardiogram signal of the user, and encrypting and storing an electroencephalogram signal feature value sequence; inthe user authentication stage, the medical institution decrypts the electroencephalogram signal characteristic sequence during previous user registration, the electroencephalogram signal characteristic sequence during user authentication is compared, and if the difference value between the two characteristic sequences is within a specified threshold value, the authentication is passed. The methodovercomes the defects that an authentication certificate is easily forgotten and forged and the like; in addition, the method is particularly suitable for people with visual and auditory impairment, and the electroencephalogram signal characteristics are coded, encrypted and stored, so the damage of an intruder is prevented, and the identity recognition is more reliable.

Description

technical field [0001] The invention belongs to the cross field of machine learning and information security, and in particular relates to an identity recognition method based on taste-induced EEG signals in a telemedicine system. Background technique [0002] How to safely and reliably identify and authenticate people's identities has always been a very important issue. Some traditional identification and individual authentication methods include: passwords, PINs and radio frequency cards, but these methods have their own disadvantages: passwords are easily forgotten, PINs and radio frequency cards will be stolen or lost, these methods are difficult to adapt to the safety factor requirements In a very high system, but its own inherent characteristics will never be forgotten or lost, such as: face, iris, fingerprints, voice, brain waves, etc. Therefore, there is a need for a security detection method based on the inherent characteristics of the human body to realize individ...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the potential safety hazards of user identification in the telemedicine system, an identification method based on taste-induced EEG signals is proposed. The purpose of using EEG signals for identification is to overcome the shortcomings of authentication credentials that are easy to be forgotten and forged; In addition, this identification method is especially suitable for people with visual and hearing impairments; and this method encodes and encrypts the characteristics of EEG signals to prevent damage by intruders and make identification more reliable

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