Snap Inc. (20240273843). LOW LATENCY HAND-TRACKING IN AUGMENTED REALITY SYSTEMS simplified abstract

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LOW LATENCY HAND-TRACKING IN AUGMENTED REALITY SYSTEMS

Organization Name

Snap Inc.

Inventor(s)

Jan Bajana of Vienna (AU)

Bernhard Jung of Perchtoldsdorf (AU)

Daniel Wagner of Vienna (AU)

LOW LATENCY HAND-TRACKING IN AUGMENTED REALITY SYSTEMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240273843 titled 'LOW LATENCY HAND-TRACKING IN AUGMENTED REALITY SYSTEMS

    • Simplified Explanation:**

The patent application describes a method to reduce motion-to-photon latency for hand tracking in augmented reality devices. This involves tracking hand movements in real-time and rendering virtual content based on the hand's position.

    • Key Features and Innovation:**
  • Accessing frames from a camera in real-time for hand tracking.
  • Rendering virtual content based on hand movement.
  • Tracking hand movements in consecutive frames for accurate tracking.
  • Generating annotations to enhance the virtual content.
  • Displaying annotated virtual content on the AR device.
    • Potential Applications:**

This technology can be used in various AR applications such as gaming, education, training simulations, and virtual collaboration tools.

    • Problems Solved:**

This technology addresses the issue of motion-to-photon latency, ensuring a more seamless and accurate hand tracking experience in AR environments.

    • Benefits:**
  • Improved accuracy and responsiveness in hand tracking.
  • Enhanced user experience in AR applications.
  • Increased realism and immersion in virtual environments.
    • Commercial Applications:**
  • Title: "Enhanced Hand Tracking Technology for Augmented Reality Devices"
  • This technology can be utilized in gaming consoles, educational AR tools, virtual training simulations, and remote collaboration platforms.
  • Market implications include increased demand for AR devices with advanced hand tracking capabilities.
    • Questions about Hand Tracking Technology:**

1. How does this technology improve the overall user experience in augmented reality applications? 2. What are the potential challenges in implementing this hand tracking method in different AR devices?

    • Frequently Updated Research:**

Stay updated on advancements in computer vision technology, real-time tracking algorithms, and AR device hardware improvements to enhance hand tracking capabilities.


Original Abstract Submitted

a method for reducing motion-to-photon latency for hand tracking is described. in one aspect, a method includes accessing a first frame from a camera of an augmented reality (ar) device, tracking a first image of a hand in the first frame, rendering virtual content based on the tracking of the first image of the hand in the first frame, accessing a second frame from the camera before the rendering of the virtual content is completed, the second frame immediately following the first frame, tracking, using the computer vision engine of the ar device, a second image of the hand in the second frame, generating an annotation based on tracking the second image of the hand in the second frame, forming an annotated virtual content based on the annotation and the virtual content, and displaying the annotated virtual content in a display of the ar device.