A method and system for user identity authentication based on mobile equipment

Abstract

The present invention provides a user identity authentication method and system based on a mobile device. The user identity authentication method includes the following steps: step S1, collecting the sensor signal of the mobile device from the pick-up position to the static state through the mobile device; step S2, Filtering the sensor signal; step S3, performing signal preprocessing on the filtered sensor signal, extracting the time domain feature and frequency domain feature in the event of picking up the mobile device; step S4, combining the time domain feature and the frequency domain feature The frequency domain features are put into the neural network recognition algorithm for training to realize the recognition and judgment of user data. The present invention extracts the user's behavior characteristics through the existing mobile device, and uses the neural network identification algorithm of the machine learning identification model to identify the user's identity, which can effectively simplify the process of user identity authentication, greatly improve the user experience, and do not need to increase any hardware costs , the system is simple, effective and convenient to use, and has good practicability.

Description

technical field [0001] The invention relates to a user identity authentication method, in particular to a mobile device-based user identity authentication method, and to a user identity authentication system adopting the mobile device-based user identity authentication method. Background technique [0002] With the continuous advancement of the intelligent society process and the continuous development of emerging smart devices, smart devices are becoming more and more important in daily life, but there are many unsafe and inconvenient data privacy protection. The unlocking of smart devices now It can be roughly divided into the following aspects. [0003] The traditional protection methods are as follows: on smart phones, PIN codes, passwords or patterns and fingerprint recognition are often used for protection; there are also technologies such as fingerprint recognition, vein recognition, iris recognition and face recognition. [0004] First of all, the more commonly used...

AI Technical Summary

Problems solved by technology

Vein recognition and iris recognition also take physiological characteristic signals according to the different physiological characteristics of each person, and then perform a series of analysis and processing on the signals, and finally achieve the function of recognition. These two biometric technologies can achieve high recognition Accuracy, but it is also accompanied by some disadvantages. The veins on the back of the hand in vein recognition may still change with age and physiological changes, and the permanence has not yet been confirmed. Due to the limitation of the collection method by its own characteristics, it is difficult to miniaturize the product and cannot Mass production is carried out on smart devices. At the same time, the acquisition equipment has special requirements, the design is relatively complicated, and the manufacturing cost is high.

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