Apple inc. (20240104958). User Eye Model Match Detection simplified abstract
Contents
- 1 User Eye Model Match Detection
User Eye Model Match Detection
Organization Name
Inventor(s)
Tom Sengelaub of Oakland CA (US)
Jie Zhong of Kornwestheim (DE)
User Eye Model Match Detection - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240104958 titled 'User Eye Model Match Detection
Simplified Explanation
The patent application describes methods and apparatus for providing eye model matching in a device. When a user activates the device and their eye is detected, an image of the user's eye is captured. An eye model matching process is then implemented to determine a stored eye model that best matches the eye in the captured image. The best matching eye model may then be used in processes such as eye gaze tracking, if it satisfies a threshold for matching.
- Eye model matching in a device:
- User's eye is detected and an image is captured - Matching process determines stored eye model that best matches the captured image - Best matching eye model may be used in downstream processes like eye gaze tracking
Potential Applications
The technology could be used in: - Biometric security systems - Virtual reality and augmented reality devices - Medical devices for eye tracking and diagnostics
Problems Solved
- Improves accuracy of eye tracking systems - Enhances security by matching eye models for authentication purposes
Benefits
- Enhanced user experience in devices - Increased security and privacy for users - Improved efficiency in eye tracking applications
Potential Commercial Applications
"Eye Model Matching Technology for Enhanced Security and User Experience"
Possible Prior Art
Prior art may include: - Eye tracking systems in virtual reality devices - Biometric authentication systems using eye recognition
Unanswered Questions
== How does the eye model matching process handle variations in lighting conditions? The patent application does not specify how the technology adjusts for different lighting conditions when capturing and matching eye images.
== What is the accuracy rate of the eye model matching process compared to traditional eye tracking methods? The patent application does not provide data on the accuracy rate of the eye model matching process in real-world scenarios.
Original Abstract Submitted
methods and apparatus for providing eye model matching in a device are disclosed. when a user activates a device and the presence of the user's eye is detected, an image of the user's eye is captured. an eye model matching process is then implemented to determine a stored eye model (e.g., an eye model stored after enrollment of the eye on the device) that best matches the eye in the captured image. determination of the best matching eye model may be based on matching between properties of the user's eye in the captured image (such as cornea and pupil features) and properties of the user's eye determined by the eye model. the best matching eye model may then be implemented in, for example, an eye gaze tracking process. in certain instances, the best matching eye model satisfies a threshold for matching before being implemented in the downstream process.
