View source for 17831278. User Authentication Using Biometric and Motion-Related Data of a User Using a Set of Sensors simplified abstract (Apple Inc.)

=User Authentication Using Biometric and Motion-Related Data of a User Using a Set of Sensors=


==Organization Name==

[[:Category:Apple Inc.|Apple Inc.]]


[[Category:Apple Inc.]]

==Inventor(s)==

[[:Category:Hojjat Seyed Mousavi of Santa Clara CA (US)|Hojjat Seyed Mousavi of Santa Clara CA (US)]][[Category:Hojjat Seyed Mousavi of Santa Clara CA (US)]]

[[:Category:Behrooz Shahsavari of Hayward CA (US)|Behrooz Shahsavari of Hayward CA (US)]][[Category:Behrooz Shahsavari of Hayward CA (US)]]

==User Authentication Using Biometric and Motion-Related Data of a User Using a Set of Sensors - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17831278 titled 'User Authentication Using Biometric and Motion-Related Data of a User Using a Set of Sensors

==Simplified Explanation==

The patent application describes a method for authenticating a user using an electronic device worn by the user. Here is a simplified explanation of the abstract:

* The method involves collecting measurement data from sensors on the electronic device while it is worn by the user.
* The collected measurement data, along with previously collected data from known users, is provided to a machine-learning model.
* The processor obtains an indication of whether the extracted feature set (from the measurement data) is similar to classified feature sets.
* The classified feature sets belong to known users and are generated based on their previously collected measurement data.
* Based on the obtained indication, the processor determines whether the user wearing the device is the known user.

Potential applications of this technology:

* User authentication for electronic devices such as smartphones, smartwatches, or fitness trackers.
* Access control systems for secure facilities or buildings.
* Identity verification for online services or transactions.

Problems solved by this technology:

* Enhanced security by using personalized measurement data to authenticate users.
* Reduces the risk of unauthorized access to electronic devices or sensitive information.
* Provides a convenient and seamless authentication method for users.

Benefits of this technology:

* Improved user experience with a wearable device that can authenticate the user without the need for passwords or PINs.
* Increased security by using unique measurement data from the user's wearable device.
* Scalable and adaptable authentication method that can be trained with new data to improve accuracy over time.


==Original Abstract Submitted==

A method for authenticating a user is disclosed. The method includes collecting, by a processor of an electronic device and while the electronic device is worn by a user, measurement data from a set of sensors of the electronic device. The method also includes providing, by the processor and to a machine-learning model, the collected measurement data from the set of sensors and previously collected sets of measurement data for a known user. The method also includes obtaining, by the processor, an indication of whether an extracted feature set is similar to one of a number of classified feature sets. At least one of the classified feature sets is classified as belonging to the known user and generated based on the previously collected sets of measurement data for the known user. The method also includes determining, by the processor, whether the user is the known user based on the obtained indication.



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