User identity using a multitude of human activities
AssigneeWinkk, Inc.
InventorRobert O. Keith, JR.
Life of this patent
Estimating the term…
Abstract
A security platform architecture is described herein. A user identity platform architecture which uses a multitude of biometric analytics to create an identity token unique to an individual human. This token is derived on biometric factors like human behaviors, motion analytics, human physical characteristics like facial patterns, voice recognition prints, usage of device patterns, user location actions and other human behaviors which can derive a token or be used as a dynamic password identifying the unique individual with high calculated confidence. Because of the dynamic nature and the many different factors, this method is extremely difficult to spoof or hack by malicious actors or malware software.
Claims28
A method programmed in a non-transitory memory of a device comprising:
- acquiring user information, wherein the user information comprises motion information and condition information;
- analyzing the motion information and the condition information;
- and
- storing the analyzed motion information and the condition information in a data structure configured to store the analyzed motion information and the condition information based on separate motion and condition classifications.
A device comprising:
- a non-transitory memory for storing an application, the application configured for:
- acquiring user information, wherein the user information comprises motion information and condition information;
- analyzing the motion information and the condition information;
- and
- storing the analyzed motion information and the condition information in a data structure configured to store the analyzed motion information and the condition information based on separate motion and condition classifications;
- and
- a processor configured for processing the application.
A system comprising:
- a first device configured for:
- acquiring user information, wherein the user information comprises motion information and condition information;
- analyzing the motion information and the condition information;
- and
- storing the analyzed motion information and the condition information in a data structure configured to store the analyzed motion information and the condition information based on separate motion and condition classifications;
- and
- comparing new motion and condition information with the stored motion and condition information;
- and
- a second device configured for:
- performing a function based on the comparison of the new motion and condition information with the stored motion information and condition information.
Dependencies are inferred from the claim text.