A Mobile Phone Identity Verification Method Based on DTW Algorithm and Walking Gait Data

Abstract

The invention discloses a mobile phone identity verification method based on DTW algorithm and walking gait data. By pre-collecting the user's walking gait data for a period of time, and then through steps such as preprocessing, signal segmentation, and cyclic elimination of similar periods, multiple For weaker similarity matching templates, a matching template library is generated, and then the user’s walking gait cycle is obtained by the signal segmentation method through the real-time collected mobile phone acceleration sensor data, and finally the similarity between the real-time data and the samples in the matching template library is calculated by the DTW algorithm , so as to verify whether the user's identity is legitimate. The present invention has large differences in matching template samples, and can reflect the user's gait characteristics as comprehensively as possible. At the same time, the method of matching template integration is used to replace the method of matching template average value synthesis, which solves the one-sidedness, tediousness and loss of characteristic data of manual manual selection of samples. It improves the recognition accuracy, and has the advantages of less calculation and less training samples.

Description

technical field [0001] The invention relates to the technical field of mobile phone identity verification, in particular to a mobile phone identity verification method based on DTW algorithm and walking gait data. Background technique [0002] With the continuous upgrading and updating of various hardware carried by smartphones, the built-in sensors of smartphones are also constantly improving. Currently, there are more than ten kinds of sensors such as accelerometers, gyroscopes, magnetometers, and barometers. By analyzing the sensor data, the usage status of the user can be obtained, and the specific behavior or status of the user can be identified, thereby realizing identity verification, which can be applied to various scenarios such as fast unlocking of mobile phones, fast payment, and information protection. [0003] Gait recognition is the recognition of human body identity through the analysis of human or animal gait. It has become an emerging biometric recognition t...

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Problems solved by technology

[0006] The purpose of the present invention is to solve the defects and deficiencies of the above-mentioned manual selection matching template and matching template average value synthesis method, to provide a kind of automatic extraction of walking gait cycle based on DTW algorithm, to optimize the selection of matching template and to improve the accuracy of identity verification based on DTW algorithm In order to solve the one-sidedness and cumbersomeness of manual selection, at the same time, the method of matching template integration is used instead of the method of matching template average value synthesis to solve the problem of feature data loss and improve the recognition accuracy

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