Eye-Tracking System Using Light Reflection for Wearable Displays
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Solution Overview
Problem
Current wearable computing devices with near-eye displays face challenges in accurately tracking the movement and position of a user's eyes, which is crucial for providing effective augmented or virtual reality experiences, especially in mission-critical or safety-critical applications.
Innovation Solution
An eye-tracking system that projects a beam of light onto the eye, receives reflection data, determines the pupil edge, and adjusts subsequent projections to track the pupil's movement, using a perturb and observe algorithm to anticipate pupil movement, allowing for precise control of displayed images and interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a beam of light is projected onto the eye and reflection data is received to determine pupil edge, then eye-tracking precision is improved, but device complexity increases
Solution Approach 1:
The system projects a beam of light onto the eye, receives reflection data, determines the pupil edge position, and adjusts subsequent projections based on this information. This closed-loop feedback mechanism continuously refines the eye-tracking accuracy, allowing the system to compensate for eye movements and maintain precise tracking throughout the interaction.
Solution Approach 2:
The patent replaces complex mechanical eye-tracking systems with an optical-based system that uses light projection and reflection detection. This substitution simplifies the overall device architecture by eliminating mechanical sensors and actuators while achieving comparable or superior tracking precision through optical measurements of the pupil edge.
2Measurement precision
If multiple projections are made to track pupil movement, then tracking accuracy is improved, but time consumption increases
Solution Approach 1:
The system performs preliminary projections to establish the initial pupil edge position and uses this information to predict subsequent pupil movements. By anticipating the direction and magnitude of eye movements based on the determined pupil edge location, the system can reduce the number of subsequent projections needed while maintaining high tracking accuracy.
Solution Approach 2:
The system dynamically adjusts the projection strategy based on detected pupil movement patterns. When the pupil edge is determined to be at a specific location, the system modifies the projection parameters accordingly, allowing for adaptive tracking that responds to real-time eye movements while optimizing the balance between accuracy and time consumption.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate eye-tracking and control of virtual or augmented reality experiences, ensuring that images are properly aligned and interactive elements are accessible through eye movements, enhancing user engagement and safety in critical applications.
Implementation Method 1
receiving data regarding reflections of light off of the eye from the at least one projection
Data Source
AI summary
Exemplary methods and systems provide for eye-tracking. An exemplary method may involve: causing a projection of a beam of light onto an eye and receiving data regarding a reflection of light from the beam of light off of the eye. The method further includes correlating a pupil of the eye with a darkest region from the data. The darkest region comprises a region that is darker relative to other regions of the reflection data. Once the pupil has been correlated and the pupil location is known, the method includes executing instructions to follow the pupil as the eye moves.