Identity authentication method and device based on gait behavior, equipment and storage medium

Abstract

The invention provides an identity authentication method and device based on gait behaviors, equipment and a storage medium. The method comprises the steps of acquiring gait inertia data of a target object; based on the gait inertia data, performing gait period feature extraction to obtain a gait period sequence; converting the gait period sequence into a visual two-dimensional graph, including: performing visualization processing on the gait period sequence to obtain a two-dimensional graph based on a recursive graph, a Markov transition field or a Gram angle field; and performing identity authentication based on the two-dimensional graph to obtain an identity authentication result of the target object. According to the method and the device, the stable gait period is obtained by performing feature extraction on the gait inertia data of the target object, the gait period sequence is formed, and then the gait period sequence is converted into the visual two-dimensional graph, so that the two-dimensional neural network can be effectively utilized, and the accuracy and efficiency of identity authentication are improved.

Description

technical field [0001] The present disclosure relates to the technical field of identity authentication, in particular to an identity authentication based on gait behavior. Background technique [0002] With the rapid development of mobile terminals in recent years, research on implicit identity authentication has become a trend. This implicit authentication mechanism silently collects various measurable user behavior patterns to authenticate users. Existing implicit authentication frameworks usually require user interaction with the device, such as tap-based and swipe gesture-based implicit authentication. At present, there are still many defects, such as the click or slide process has the disadvantage of randomization, the noise problem in the actual environment has a great impact on the detection model, and the one-dimensional signal data output by the original sensor is used as input, which does not take into account the original The time phase of the signal makes it i...

AI Technical Summary

Problems solved by technology

At present, there are still many defects, such as the click or slide process has the disadvantage of randomization, the noise problem in the actual environment has a great impact on the detection model, and the one-dimensional signal data output by the original sensor is used as input, which does not take into account the original The time phase of the signal cannot use high-dimensional neural networks

Therefore, the implicit identity authentication technology in the prior art has problems such as high noise and imprecise authentication.

Images