Apple inc. (20240211569). Biometric Multi-Representation Eye Authentication simplified abstract

Biometric Multi-Representation Eye Authentication

Organization Name

apple inc.

Inventor(s)

Gendong Zhang of Stanford CA (US)

Martin Haller of Mountain View CA (US)

Abhishek Nagar of Seattle WA (US)

Saurabh Jain of Saratoga CA (US)

Stefan Roennecke of Santa Clara CA (US)

Tomi P Maila of San Carlos CA (US)

Andrei Nikiforov of Berlin (DE)

Tom Sengelaub of Oakland CA (US)

Biometric Multi-Representation Eye Authentication - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240211569 titled 'Biometric Multi-Representation Eye Authentication

The patent application discusses methods for user authentication using a multi-representation eye model for devices like head-mounted display devices.

• The multi-representation eye model is generated and updated based on feature representations of an identified eye.
• The user authentication process involves capturing an image of the current eye under specific conditions, transforming it into a feature representation, and comparing it to the multi-representation eye model to verify the user's identity.

Potential Applications:

• Enhanced security measures for devices like head-mounted display devices.
• Improved user authentication processes for various applications and systems.

Problems Solved:

• Addressing security concerns related to user authentication.
• Providing a reliable and efficient method for verifying user identity.

Benefits:

• Increased security and protection against unauthorized access.
• Streamlined user authentication processes for a seamless user experience.

Commercial Applications:

• This technology could be utilized in industries requiring high levels of security, such as banking, healthcare, and government agencies.

Questions about the technology: 1. How does the multi-representation eye model enhance user authentication?

  - The multi-representation eye model improves user authentication by utilizing feature representations of the eye for verification.

2. What are the potential drawbacks of using this technology for user authentication?

  - Some potential drawbacks could include privacy concerns related to capturing and storing eye images for authentication purposes.

Original Abstract Submitted

methods for performing user authentication based on a multi-representation eye model for devices such as head-mounted display devices are disclosed. the multi-representation eye model may be generated and updated based on feature representations of an identified eye. the user authentication process may be initiated by causing an image to be captured of a current eye under a first set of conditions that may then be transformed into a current feature representation. the current feature representation may be applied to the multi-representation eye model to determine whether the current eye is a match for the identified eye.