Snap inc. (20240193982). HAND-TRACKING WITH IR CAMERA FOR XR SYSTEMS simplified abstract
Contents
- 1 HAND-TRACKING WITH IR CAMERA FOR XR SYSTEMS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 HAND-TRACKING WITH IR CAMERA FOR XR SYSTEMS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Hand Pose Tracking in XR Systems
- 1.13 Original Abstract Submitted
HAND-TRACKING WITH IR CAMERA FOR XR SYSTEMS
Organization Name
Inventor(s)
Piotr Gurgul of Hergiswil (CH)
Pawel Wawruch of Yverdon-les-Bains (CH)
HAND-TRACKING WITH IR CAMERA FOR XR SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240193982 titled 'HAND-TRACKING WITH IR CAMERA FOR XR SYSTEMS
Simplified Explanation
This patent application describes an extended reality (XR) system that can capture hand poses in low-light environments using visible light cameras and IR light emitters.
- The XR system tracks hand poses of a user and generates hand-tracking data, including a skeletal model and a confidence level.
- If the confidence level falls below a threshold value, wide-spectrum cameras are activated to capture more tracking data.
- An IR light emitter can also be activated to illuminate the user's hands for better tracking accuracy.
Key Features and Innovation
- Utilizes visible light cameras and IR light emitters to capture hand poses in low-light environments.
- Generates hand-tracking data with a skeletal model and confidence level.
- Activates wide-spectrum cameras and IR light emitter based on confidence level threshold.
Potential Applications
This technology can be used in virtual reality gaming, augmented reality applications, motion capture for animation, and virtual training simulations.
Problems Solved
- Enables accurate hand pose tracking in low-light conditions.
- Improves user experience in XR environments.
- Enhances realism in virtual and augmented reality applications.
Benefits
- Enhanced user interaction in XR systems.
- Improved accuracy and realism in hand tracking.
- Increased versatility in XR applications.
Commercial Applications
- Virtual reality gaming industry.
- Augmented reality software development.
- Animation and film production for motion capture.
- Virtual training and simulation programs.
Prior Art
There may be prior art related to hand pose tracking in XR systems using visible light cameras and IR light emitters. Researchers can explore existing patents and academic papers in the field of computer vision and XR technology.
Frequently Updated Research
Researchers are constantly improving hand pose tracking algorithms and technologies in XR systems. Stay updated on the latest advancements in computer vision and XR research for potential enhancements to this technology.
Questions about Hand Pose Tracking in XR Systems
How does hand pose tracking work in low-light environments?
Hand pose tracking in low-light environments is achieved using visible light cameras and IR light emitters to capture and analyze hand movements.
What are the potential applications of hand pose tracking technology in XR systems?
Hand pose tracking technology in XR systems can be applied to virtual reality gaming, augmented reality applications, motion capture for animation, and virtual training simulations.
Original Abstract Submitted
an extended reality (xr) system provides methodologies for capturing hand poses being made by a user in low-light environments. the xr system capture, using one or more visible light cameras, tracking video frame data of a hand pose of a user of the xr system. the xr system generates hand-tracking data based on the tracking video frame data. the hand-tracking data includes a skeletal model and a hand-tracking confidence level indicating a probability that the skeletal model matches the hand pose. the xr system compares the hand-tracking confidence level to a threshold confidence value, and based on determining the first hand-tracking confidence level is below the threshold confidence value, activates one or more wide-spectrum cameras to capture subsequent tracking video frame data of the hand pose. the xr system may also activate an ir light emitter to illuminate the hands of the user.
