Eye Glint Imaging for Convergence Distance Adjustment
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Solution Overview
Problem
Current head-worn display systems face challenges in optimizing user experience by effectively presenting content in see-through displays, particularly in transitioning between augmented and virtual reality modes, with issues related to convergence distance and position adjustment.
Innovation Solution
A head-worn display system that includes a display panel and a processor to present digital content in a portion of the field of view, with blank areas on the edges, allowing for adjustment of convergence distance and position based on the type of content and user interaction, using an eye imaging system to measure and adjust the position and focus distance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If digital content is presented in the middle portion of the field of view, then convergence distance can be adjusted to improve user experience, but blank areas appear on horizontally opposing edges of the field of view
Solution Approach 1:
The system dynamically shifts the position of digital content within the field of view based on detected eye position and convergence distance requirements. The processor adjusts content placement in real-time, moving content from the middle portion to edge portions of the field of view as needed, allowing convergence distance optimization without permanent loss of display area.
Solution Approach 2:
The system utilizes the spatial dimension of the field of view more effectively by allowing content to move across different horizontal positions. Instead of fixed middle placement, content can be positioned in left or right portions of the field of view, creating additional spatial flexibility for optimization without reducing overall system capability.
2Manufacturing precision
If digital content is shifted to adjust convergence distance, then perceived distance from user to digital content changes, but content position control complexity increases
Solution Approach 1:
The system employs an eye imaging system that continuously monitors user eye position and provides feedback to the processor. Based on this feedback, the processor automatically adjusts digital content position to achieve desired convergence distance, creating a closed-loop control system that simplifies the complexity through intelligent automation.
Solution Approach 2:
The system performs self-adjustment of content position based on detected eye characteristics and convergence requirements. The processor autonomously determines optimal content placement without requiring manual user intervention, allowing the system to self-optimize for each user's anatomical characteristics.
3Measurement precision
If eye imaging system is used to measure convergence, then convergence distance measurement precision improves, but system complexity and cost increase
Solution Approach 1:
The eye imaging system serves multiple functions beyond mere convergence measurement: it detects eye position, determines user attention, enables adaptive content positioning, and supports various AR/VR modes. This multi-functionality justifies the added complexity by providing comprehensive eye-tracking capabilities from a single system.
Solution Approach 2:
The system adjusts operational parameters such as imaging wavelength, exposure time, and processing algorithms based on specific measurement requirements. By dynamically changing these parameters, the system optimizes measurement precision for different scenarios while managing overall system complexity through adaptive configuration.
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
Enhances user experience by allowing precise control over the presentation of digital content in see-through displays, ensuring it appears at the correct distance and position, improving immersion and interaction with the environment.
Implementation Method 1
The convergence may be measured by an eye imaging system of the head-worn display. The eye imaging system images a front perspective of the user's eye.
Data Source
AI summary
Disclosure herein concerns a method that includes illuminating a user's eye with an illumination source in a head-worn display, capturing an image of the user's eye with an eye camera in the head-worn display, wherein the image includes an eye glint produced by light from the illumination source that is reflected from a surface of the user's eye, determining a size of an eye glint in the captured image, and identifying a change in focus distance for the user's eye in correspondence with a change in the size of the eye glint.