Gesture identity authentication system and method based on sensor on mobile phone

Abstract

The invention provides a gesture identity authentication system and method based on a sensor on a mobile phone, and relates to the field of identity authentication based on sensors on mobile phones. The gesture identity authentication system comprises an acceleration sensor used for recording real-time acceleration information of a user gesture in a moving process; a direction sensor used for recording azimuth angle information of the user gesture in the moving process; a preprocessing module used for carrying out filtering denoising and equal frequency sampling on the information recorded in the acceleration sensor and the direction sensor; a calculation module used for respectively calculating matching scores of the acceleration information and the azimuth angle information via a global sequence alignment algorithm, calculating a threshold through the matching scores and gesture information made by the user again, and then comparing the user gesture information input at each time with the threshold; and a template base module used for storing original samples of all user gestures and storing the matching scores and the threshold calculated by the calculation module. The gesture identity authentication system provided by the invention adopts no additional device to serve as support, is scarcely influenced by environmental factors and is safe and convenient to carry out identity authentication of the user on the mobile phone.

Description

technical field [0001] The invention relates to the field of sensor-based identity authentication on a mobile phone, in particular to a sensor-based gesture identity authentication system and method on a mobile phone. Background technique [0002] With the network and intelligentization of society, mobile phones have become a necessity in people's lives, and security and privacy issues are closely related to them, and the corresponding user identity authentication technology of mobile phones has also become a hot research issue. [0003] In the past, most people used traditional authentication methods, such as passwords, PINs, and drawing passwords. People usually set relatively simple passwords for convenience, which can be easily obtained by others and successfully enter the system. However, biometric-based authentication methods, such as fingerprints, palms, faces, and irises, often require additional equipment for support. In addition, due to external factors such as we...

AI Technical Summary

Problems solved by technology

In addition, due to external factors such as wearing a hat, hair blocking or light, it will affect the facial authentication; due to dry fingers, bruises, and shallow lines, it will also affect fingerprint or palm authentication; these environmental factors are relatively large

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