Samsung electronics co., ltd. (20240135177). METHOD AND APPARATUS FOR RECOGNIZING USER BASED ON ON-DEVICE TRAINING simplified abstract
Contents
- 1 METHOD AND APPARATUS FOR RECOGNIZING USER BASED ON ON-DEVICE TRAINING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS FOR RECOGNIZING USER BASED ON ON-DEVICE TRAINING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
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 20240135177 titled 'METHOD AND APPARATUS FOR RECOGNIZING USER BASED ON ON-DEVICE TRAINING
Simplified Explanation
The patent application describes an on-device training-based user recognition method that involves training a feature extractor using reference data related to generalized users and user data, then using this trained feature extractor to determine registration and test feature vectors for user recognition.
- On-device training-based user recognition method:
* Involves training a feature extractor on a device using reference data. * Determines registration and test feature vectors based on the output of the feature extractor. * Performs user recognition based on comparing the registration and test feature vectors.
Potential Applications
The technology could be applied in:
- Mobile devices for personalized user recognition.
- Smart home systems for user-specific settings and preferences.
Problems Solved
This technology addresses:
- Improving user recognition accuracy.
- Enhancing security by verifying user identities.
Benefits
The benefits of this technology include:
- Convenient and secure user authentication.
- Personalized user experiences.
- Efficient on-device processing without the need for external servers.
Potential Commercial Applications
Potential commercial applications include:
- Mobile device manufacturers integrating this technology for enhanced user experience.
- Security companies utilizing this method for biometric identification systems.
Possible Prior Art
One possible prior art for this technology could be the use of machine learning algorithms for user recognition in various applications.
Unanswered Questions
How does this method handle variations in user data over time?
The patent application does not specify how the system adapts to changes in user data or how often retraining is required to maintain accuracy.
What is the computational overhead of performing on-device training for user recognition?
The application does not provide information on the computational resources needed to train the feature extractor on the device.
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.
