Meta platforms technologies, llc (20240355148). LIGHT EMITTER ARRAY AND BEAM SHAPING ELEMENTS FOR EYE TRACKING WITH USER AUTHENTICATION AND LIVENESS DETECTION simplified abstract

From WikiPatents
Revision as of 05:41, 25 October 2024 by Wikipatents (talk | contribs) (Creating a new page)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

LIGHT EMITTER ARRAY AND BEAM SHAPING ELEMENTS FOR EYE TRACKING WITH USER AUTHENTICATION AND LIVENESS DETECTION

Organization Name

meta platforms technologies, llc

Inventor(s)

Mantas Zurauskas of Redmond WA (US)

James Schloss of Lake Stevens WA (US)

Pavel Trochtchanovitch of Shoreline WA (US)

LIGHT EMITTER ARRAY AND BEAM SHAPING ELEMENTS FOR EYE TRACKING WITH USER AUTHENTICATION AND LIVENESS DETECTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240355148 titled 'LIGHT EMITTER ARRAY AND BEAM SHAPING ELEMENTS FOR EYE TRACKING WITH USER AUTHENTICATION AND LIVENESS DETECTION

The patent application describes methods, systems, and apparatuses for eye tracking in a near-eye display device.

  • An eye tracking system utilizes an array of vertical cavity surface-emitting lasers (VCSELs) with different groupings to provide structured light with varying intensity and polarization profiles when projected onto the user's eye.
  • Another aspect of the system includes a light source, image sensor, and controller to capture series of images of light reflections from the eye, determine blood flow characteristics using pattern changes in the images, and perform user authentication and liveness detection based on the detected blood flow characteristics.

Potential Applications: - Eye tracking technology for virtual reality and augmented reality devices - Biometric security systems for user authentication - Medical applications for monitoring blood flow characteristics in the eye

Problems Solved: - Enhanced accuracy and precision in eye tracking - Improved user authentication and liveness detection - Monitoring and analyzing blood flow characteristics in the eye

Benefits: - Increased security and privacy in user authentication - Enhanced user experience in virtual and augmented reality applications - Potential for medical advancements in monitoring eye health

Commercial Applications: Title: Advanced Eye Tracking Technology for Virtual Reality and Biometric Security Systems This technology can be utilized in virtual reality headsets, augmented reality glasses, and biometric security systems for various commercial applications. The market implications include improved user experience, enhanced security measures, and potential advancements in medical monitoring.

Questions about Eye Tracking Technology: 1. How does the structured light with varying intensity and polarization profiles improve eye tracking accuracy? 2. What are the potential challenges in implementing this eye tracking system in different devices and environments?

Frequently Updated Research: Stay updated on the latest advancements in eye tracking technology, biometric security systems, and medical applications related to monitoring blood flow characteristics in the eye.


Original Abstract Submitted

methods, systems, and apparatuses for eye tracking in a near-eye display device are described. in one aspect, an eye tracking system has an array of vertical cavity surface-emitting lasers (vcsels) with different groupings of vcsels within the array providing structured light with different polarization states such that the structured light projected onto the user's eye has (i) a spatially varying and/or temporally-varying intensity profile and/or (ii) a spatially varying and/or temporally-varying polarization profile. in another aspect, an eye tracking system includes a light source, an image sensor, and a controller which controls the image sensor to capture series of images of light reflections from the eye when the eye is stationary, determines blood flow characteristics using pattern changes in the captured series of images, and performs user authentication and/or liveness detection based on the detected blood flow characteristics.