Samsung electronics co., ltd. (20240232619). METHOD AND APPARATUS FOR RECOGNIZING USER BASED ON ON-DEVICE TRAINING simplified abstract
Contents
METHOD AND APPARATUS FOR RECOGNIZING USER BASED ON ON-DEVICE TRAINING
Organization Name
Inventor(s)
METHOD AND APPARATUS FOR RECOGNIZING USER BASED ON ON-DEVICE TRAINING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240232619 titled 'METHOD AND APPARATUS FOR RECOGNIZING USER BASED ON ON-DEVICE TRAINING
The abstract of the patent application describes an on-device training-based user recognition method. This method involves training a feature extractor on reference data related to generalized users and user data, generating a registration feature vector based on the feature extractor's output from the user data input, creating a test feature vector based on the feature extractor's output from the test data input, and conducting user recognition on a test user by comparing the registration feature vector to the test feature vector.
- On-device training-based user recognition method
- Training a feature extractor on reference data for generalized users and user data
- Generating a registration feature vector from the user data input
- Creating a test feature vector from the test data input
- Conducting user recognition by comparing the registration feature vector to the test feature vector
Potential Applications: - User authentication systems - Access control systems - Personalized user experiences in devices - Security systems
Problems Solved: - Enhancing user recognition accuracy - Improving security measures - Providing personalized experiences - Streamlining access control processes
Benefits: - Increased security - Enhanced user experience - Efficient access control - Personalized interactions
Commercial Applications: Title: "On-Device User Recognition Technology for Enhanced Security and Personalization" This technology can be utilized in various industries such as: - Technology companies - Security firms - Access control providers - Consumer electronics manufacturers
Questions about the technology: 1. How does this on-device training method differ from traditional user recognition systems?
- The on-device training method allows for personalized user recognition without the need for constant external data processing.
2. What are the potential privacy concerns associated with this user recognition technology?
- Privacy concerns may arise regarding the storage and usage of user data for training the feature extractor.
Original Abstract Submitted
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.
