A user identity authentication method based on gait information

Abstract

The invention proposes a user identity authentication method based on gait information, which cuts the acceleration data sequence generated by the user's walking. Identity identification, input the verification data set into the updated neural network model to determine the variance and threshold of the correct authorized user, and calculate the feature space of the unauthorized user and the feature space of the authorized user by means of extreme value statistics The distance of the space can even deny the identity of unauthorized users, which can control the security risks of illegal login of users. The invention learns the walking characteristics of the user through preprocessing, learning, and analyzing the acceleration data of the sensor, can identify the user, and can automatically lock the illegal user, thereby realizing passive authentication.

Description

technical field [0001] The invention belongs to the technical field of biological authentication and artificial intelligence, and in particular relates to a user identity authentication method based on gait information. Background technique [0002] Biometrics provide improved reliability and usability for user authentication because, unlike traditional methods, it does not need to be remembered. With the integration of dedicated hardware and biometric information in smartphones, new biometric authentication methods have emerged that use motion sensors to acquire behavioral biometric information and allow users to authenticate smartphones or services based on the actions they will perform, This biometric authentication method respectively utilizes motion sensors to acquire biological movement information and allows users to verify their identity according to the operations they will perform. Users can be authenticated by motion sensor behavior, and the data of the motion se...

AI Technical Summary

Problems solved by technology

[0003] Human motion behavior is a repetitive task. By using mobile phone motion sensors, user motion status can be measured unobtrusively and continuously. It is a more user-friendly authentication mechanism to distinguish motion status from other biometric patterns, but in user Once logged in, there is no further authentication process with traditional authentication methods until the phone is locked or turned off, allowing a thief to gain access to the phone without anyone noticing

Images