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Gait-based identity verification method, apparatus and device, and storage medium

An identity verification method and gait technology, applied in the field of communication, can solve the problems of wrong recognition results, too many non-personal sample data, and reduce the effect of user identity recognition, so as to reduce the amount of calculation and improve the effect

Active Publication Date: 2018-05-04
SHANGHAI PEOPLENET SECURITY TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Maybe a certain gait data has very little personal sample data in its K nearest sample data, but there are many non-personal sample data, which will lead to wrong recognition results and reduce the user identification effect

Method used

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  • Gait-based identity verification method, apparatus and device, and storage medium
  • Gait-based identity verification method, apparatus and device, and storage medium
  • Gait-based identity verification method, apparatus and device, and storage medium

Examples

Experimental program
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Effect test

Embodiment 1

[0029] figure 1 It is a flow chart of the gait-based identity verification method provided by Embodiment 1 of the present invention. This embodiment is applicable to identity verification, and the method can be executed by a gait-based identity verification device, such as figure 1 As shown, the gait-based authentication method may include the following steps:

[0030] S110. Collect current gait data of the user to be identified.

[0031] In this embodiment, the current gait data refers to a gait cycle data in the current state of the user to be identified, and a gait cycle refers to the time when one heel strikes the ground until the same heel strikes the ground again during walking. The current gait data of the user to be recognized is collected through the sensor in the terminal device. Exemplarily, the sensor may be an acceleration sensor, a gyroscope sensor, or a gravity sensor.

[0032] S120. Calculate the distance between the current gait data and each reference gait...

Embodiment 2

[0051] figure 2 It is a flowchart of model training in the gait-based identity verification method provided by Embodiment 2 of the present invention. This embodiment further adds a model training method in the gait-based identity verification method on the basis of the above-mentioned embodiments. Such as figure 2 shown. Model training in the gait-based identity verification method may include the following steps:

[0052] S210. Collect current sample gait data of the user to be identified.

[0053] In this embodiment, the sample gait data refers to all gait data of the user to be identified.

[0054] S220. Calculate the distance between the current sample gait data and each predetermined current reference gait data.

[0055] S230, judging whether the distance between the current sample gait data and any current reference gait data is less than the preset distance; if so, execute S240; otherwise, execute S250;

[0056] S240. When the distance between the current sample ga...

Embodiment 3

[0073] image 3 It is a flow chart of the gait-based identity verification method provided by Embodiment 3 of the present invention. On the basis of the above-mentioned embodiments, this embodiment optimizes the gait-based identity verification method, such as image 3 As shown, the gait-based authentication method may include the following steps:

[0074] S310. Collect current gait data of the user to be identified.

[0075] S320. Calculate the distance between the current gait data and each reference gait data in the reference gait data set.

[0076] S330. Obtain a preset number of reference gait data with the smallest distance from the current gait data among all the reference gait data.

[0077] S340. Calculate the weighted average value corresponding to the current gait data according to the preset number of reference data with the smallest distance from the current gait data and the weighted value corresponding to the preset number of reference gait data with the small...

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Abstract

The invention discloses a gait-based identity verification method, apparatus and device, and a storage medium. The gait-based identity verification method comprises the following steps: collecting current gait data of a user to be identified; calculating distances between the current gait data and reference gait data in a reference gait data set; calculating a weighted average corresponding to thecurrent gait data according to the secure distances between the current gait data and the reference gait data in the reference gait data set and pre-stored weighted values corresponding to the reference gait data; and verifying the identity of the user to be identified according to the weighted average. The calculated amount is reduced, and the user identification effect is improved.

Description

technical field [0001] The embodiments of the present invention relate to the field of communication technologies, and in particular, to a gait-based identity verification method, device, device, and storage medium. Background technique [0002] Gait recognition is a new biometric authentication technology that more and more researchers pay attention to in recent years. Gait recognition refers to a method of identifying a person's identity through the way a person walks. [0003] With the continuous development of sensors, the gait data of the human body can be collected through the sensor without people's perception, and then the identity of the person can be identified. The current common gait recognition method is usually to collect the gait data of the human body and bring it into the classification model to identify the user. The existing gait recognition classification model usually adopts the KNN (nearest neighbor algorithm, K-NearestNeighbor) model, and stores two ...

Claims

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Application Information

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IPC IPC(8): H04L29/06
CPCH04L63/0861
Inventor 谈剑锋聂文静杨德光姜立稳
Owner SHANGHAI PEOPLENET SECURITY TECH
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