Device enabling method and apparatus, and storage medium

Patent metadata

Field	Value
Publication number	US-12536261-B2
Application number	US-202217985322-A
Country	US
Kind code	B2
Filing date	Nov 11, 2022
Priority date	May 14, 2020
Publication date	Jan 27, 2026
Grant date	Jan 27, 2026

Abstract

A device enabling method and apparatus, and a storage medium relate to: collecting at least two types of biometric feature information of a user; performing identity authentication on the user based on the at least two types of biometric feature information; and if identity authentication succeeds, enabling at least one of a wearable device and a smart device, where the wearable device is communicatively connected to the smart device. This disclosure helps ensure information security of a device.

First claim

What is claimed is:

1 . A device enabling method comprising:
collecting at least two types of biometric feature information of a user; performing an identity authentication on the user based on the at least two types of biometric feature information; and when the identity authentication succeeds, enabling at least one of a wearable device or a smart device, wherein the wearable device is communicatively connected to the smart device, wherein: the performance of the identity authentication on the user based on the at least two types of biometric feature information comprises: performing biometric authentication based on the at least two types of biometric feature information and a biometric authentication model: and determining an identity authentication result of the user based on a biometric authentication result of the biometric authentication; each type of the at least two types of biometric feature information corresponds to one of biometric authentication models, respectively, and each of the corresponding biometric authentication models is used to perform biometric authentication based on the corresponding biometric feature information: the performance of the biometric authentication based on the at least two types of biometric feature information and the biometric authentication model comprises: performing biometric authentication based on each type of biometric feature information and the corresponding biometric authentication models, to respectively obtain biometric authentication results corresponding to the biometric feature information; and the determining of the identity authentication result of the user based on the biometric authentication result comprises: determining the identity authentication result of the user based on the biometric authentication results respectively corresponding to the at least two types of biometric feature information; and the determining of the identity authentication result of the user based on the biometric authentication results corresponding to the at least two types of biometric feature information comprises: performing weighted calculation on the biometric authentication results corresponding to the at least two types of biometric feature information, and determining the identity authentication result of the user based on a result obtained through the weighted calculation wherein a sum of weights corresponding to the at least two types of biometric feature information is 1, and a weight corresponding to each type of biometric feature information is adjustable.

2 . The method according to claim 1 , wherein
before the performing of biometric authentication based on the at least two types of biometric feature information and the biometric authentication model, the method further comprises: performing training based on sample data to generate the biometric authentication model.

3 . The method according to claim 2 , wherein
each type of the at least two types of biometric feature information corresponds to one of biometric authentication models, respectively; the sample data comprises at least two types of sample feature information and sample authentication results corresponding to the at least two types of sample feature information, and each type of sample feature information is one respective type of biometric feature information; and the performing of training based on the sample data to generate the biometric authentication model comprises: inputting each type of sample feature information into an initial authentication model to perform feature authentication, to obtain a feature authentication result corresponding to the sample feature information; adjusting a model parameter of the initial authentication model based on the feature authentication result corresponding to the sample feature information and the sample authentication result corresponding to the sample feature information until a difference between the feature authentication result obtained through feature authentication based on the sample feature information and the sample authentication result corresponding to the sample feature information meets a preset condition; and determining an authentication model that meets the preset condition as the biometric authentication model corresponding to the biometric feature information.

4 . The method according to claim 2 , wherein
the at least two types of biometric feature information correspond to one comprehensive biometric authentication model; the sample data comprises at least two types of sample feature information and a sample authentication result corresponding to the at least two types of sample feature information, and each type of sample feature information is one type of biometric feature information; and the performing of training based on the sample data to generate the biometric authentication model comprises: inputting the at least two types of sample feature information into an initial authentication model to perform feature authentication, to obtain a feature authentication result corresponding to the at least two types of sample feature information; adjusting a model parameter of the initial authentication model based on the feature authentication result corresponding to the at least two types of sample feature information and the sample authentication result corresponding to the at least two types of sample feature information until a difference between the feature authentication result obtained through feature authentication based on the at least two types of sample feature information and the sample authentication result corresponding to the at least two types of sample feature information meets a preset condition; and determining the authentication model that meets the preset condition as the biometric authentication model corresponding to the at least two types of biometric feature information.

5 . The method according to claim 1 , wherein
the at least two types of biometric feature information comprise at least two types of ear canal feature information, auricle feature information, vibration feature information, voiceprint feature information, facial feature information, fingerprint feature information, and iris feature information; and the vibration feature information is vibration information of a part on which the wearable device is worn.

6 . A device enabling apparatus comprising a processor and a memory; the memory stores a program; and the processor is configured to execute the program stored in the memory, so that the device enabling apparatus is at least configured to
collect at least two types of biometric feature information of a user; perform identity authentication on the user based on the at least two types of biometric feature information; and when the identity authentication succeeds, enable at least one of a wearable device or a smart device, wherein the wearable device is communicatively connected to the smart device, the performance of the identity authentication on the user based on the at least two types of biometric feature information comprises: performance of biometric authentication based on the at least two types of biometric feature information and a biometric authentication model: and determination of an identity authentication result of the user based on a biometric authentication result of the biometric authentication each type of the at least two types of biometric feature information corresponds to one of biometric authentication models, respectively, and each of the corresponding biometric authentication models is used to perform the biometric authentication based on the corresponding biometric feature information: the performance of the biometric authentication based on the at least two types of biometric feature information and the bi

Assignees

• Huawei Tech Co Ltd

Inventors

• Yuan Tingqiu
• Zhang Libin
• Liu Chang
• Zhang Huimin

Classifications

• G06F21/32 Primary

  using biometric data, e.g. fingerprints, iris scans or voiceprints · CPC title

• H04W12/06

  Authentication · CPC title

• H04W12/33

  using wearable devices, e.g. using a smartwatch or smart-glasses · CPC title

• H04W12/55

  involving three or more devices, e.g. group pairing · CPC title