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

[0028] Example one

[0029] figure 1 It is a flowchart of the gait-based identity verification method provided in the first embodiment of the present invention. This embodiment is applicable to the situation of identity verification. The method can be executed by the gait-based identity verification device, such as figure 1 As shown, the gait-based identity verification method can 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 walking from one heel to the ground until the same heel touches the ground again. Collect the current gait data of the user to be identified through the sensor in the terminal device. Exemplarily, the sensor may be an acceleration sensor, a gyroscope sensor, a gravity sensor, or the like.

[0032] S120: Calculate the distance between the current gait data an

[0050] Example two

[0051] figure 2 It is a flowchart of model training in the gait-based identity verification method provided in the second embodiment of the present invention. This embodiment further adds a model training method in the gait-based identity verification method on the basis of the foregoing embodiments. Such as figure 2 Shown. Model training in the gait-based identity verification method can 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 the 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. Determine whether the distance between the current sample gait data and any one of the current reference gait data is less than a preset distance; if so, execute S240; if otherwise, execute S250;

[0056] S240. When the distance be

[0072] Example three

[0073] image 3 It is a flowchart of the gait-based identity verification method provided in the third embodiment of the present invention. This embodiment optimizes the gait-based identity verification method on the basis of the foregoing embodiments, such as image 3 As shown, the gait-based identity verification method can 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 from 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