Method and apparatus for recognizing user based on on-device training
AssigneeSamsung Electronics Co., Ltd.
InventorsDohwan Lee, Kyuhong Kim, Jaejoon Han
Life of this patent
Estimating the term…
Abstract
An on-device training-based user recognition method includes performing on-device training on a feature extractor based on reference data corresponding to generalized users and user data, determining a registration feature vector based on an output from the feature extractor in response to the input of the user data, determining a test feature vector based on an output from the feature extractor in response to an input of test data, and performing user recognition on a test user based on a result of comparing the registration feature vector to the test feature vector.
Claims19
A recognition method comprising:
- receiving user data input by a valid user for user registration;
- performing on-device training on a feature extractor based on the user data and reference data corresponding to generalized users;
- determining a registration feature vector based on an output from the feature extractor in response to input of the user data;
- receiving test data input by a test user for user recognition;
- determining a test feature vector based on an output from the feature extractor in response to input of the test data;
- and
- performing the user recognition on the test user based on a result of comparing the registration feature vector to the test feature vector,
- wherein the feature extractor includes a first neural network having a fixed parameter dependent on pretraining and a second neural network having an adjustable parameter dependent on the on-device training.
A recognition apparatus comprising:
- a processor;
- and
- a memory including instructions executable in the processor, wherein, when the instructions are executed by the processor, the processor is configured to:
- receive user data input by a valid user for user registration;
- perform on-device training on a feature extractor based on the user data and reference data corresponding to generalized users;
- determine a registration feature vector based on an output from the feature extractor in response to the input of the user data;
- receive test data input by a test user for user recognition;
- determine a test feature vector based on an output from the feature extractor in response to the input of the test data;
- and
- perform the user recognition on the test user based on a result of comparing the registration feature vector to the test feature vector,
- wherein the feature extractor includes a first neural network having a fixed parameter dependent on pretraining and a second neural network having an adjustable parameter dependent on an on-device training.
Dependencies are inferred from the claim text.