Mobile phone identity verification method based on DTW algorithm and walking gait data

An identity verification method and data technology, applied in digital data authentication, computer parts, computing, etc., can solve problems such as tediousness, loss of characteristic data, one-sidedness of manual selection, etc.

An identity verification method and data technology, applied in digital data authentication, computer parts, computing, etc., can solve problems such as tediousness, loss of characteristic data, one-sidedness of manual selection, etc.

CN112861098AActive Publication Date: 2021-05-28NANCHANG UNIV

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  • Mobile phone identity verification method based on DTW algorithm and walking gait data
  • Mobile phone identity verification method based on DTW algorithm and walking gait data
  • Mobile phone identity verification method based on DTW algorithm and walking gait data

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Embodiment

[0049] Example: see Figure 1-13 .

[0050] A mobile phone authentication method based on DTW algorithm and walking gait data, comprising the following steps:

[0051] Such as figure 1 As shown, a mobile phone identity verification method based on the DTW algorithm and walking gait data of the present invention, before the identity verification function is turned on, by collecting the user's walking gait data, the DTW algorithm is used to automatically extract the characteristic period of the walking gait data, thereby Generate the corresponding integrated matching template library; after the identity verification function is enabled, the walking gait cycle is obtained by the signal segmentation algorithm by collecting the acceleration sensor data of the mobile phone in real time, and the similarity between the real-time data and the samples in the matching template library is calculated by the DTW algorithm, thereby verifying Whether the identity of the mobile phone wearer ...

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Abstract

The invention discloses a mobile phone identity verification method based on a DTW algorithm and walking gait data, and the method comprises the steps: pre-collecting the walking gait data of a user for a period of time, carrying out preprocessing, signal segmentation, and cyclic elimination of similar periods, obtaining a plurality of matching templates with weaker similarity, generating a matching template library, acquiring a user walking gait period through a signal segmentation method according to mobile phone acceleration sensor data collected in real time, and finally calculating the similarity between real-time data and samples in a matching template library by the DTW algorithm, so that whether the user identity is legal or not is verified. Matching template samples are large in difference, user gait features can be reflected as comprehensively as possible, meanwhile, a matching template integration method is used for replacing a matching template average value synthesis method, the problems of one-sidedness, complexity and feature data loss of manual sample selection are solved, the recognition accuracy is improved, and the invention has the advantages of being small in calculation amount, high in accuracy and the like. And training samples are few.

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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Application Information

Patent Timeline
28 May 2021
Publication
CN112861098A
IPC
G06F21/32; G06K9/00; G06K9/62
CPC
G06F21/32; G06V40/25; G06V40/103; G06V10/751; G06F18/214
Inventors
冯明旭; 刘继忠