XR Eye-Tracking IPD Estimation for Automatic Lens Adjustment
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Solution Overview
Problem
Existing XR systems face challenges in accurately determining and adjusting for individual users' interpupillary distances without requiring specialized equipment like a pupilometer, which impedes user convenience and device efficiency.
Innovation Solution
An XR device equipped with eye-tracking sensors and actuators automatically determines interpupillary distance by tracking user eye focus, adjusts display lenses, and performs passthrough transformations to ensure accurate image rendering based on the determined distance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods using specialized equipment like a pupilometer are used to measure interpupillary distance, then measurement precision is improved, but device complexity and ease of operation deteriorate due to requiring external tools and manual configuration
Solution Approach 1:
The XR device automatically performs interpupillary distance measurement and configuration without requiring external specialized equipment. The system uses its own integrated eye-tracking sensors to capture eye position data, process this information through algorithms, and automatically adjust display parameters, enabling the device to configure itself based on user characteristics.
Solution Approach 2:
The patent replaces the mechanical measurement system (pupilometer with physical contacts) with an optical sensing system (eye-tracking sensors using infrared light and image processing). This substitution eliminates the need for physical contact and specialized external equipment while maintaining measurement accuracy through non-contact optical methods.
2Ease of operation
If automated eye-tracking-based interpupillary distance estimation is implemented, then ease of operation is improved by eliminating manual measurement, but device complexity increases due to adding eye-tracking sensors and processing algorithms
Solution Approach 1:
The eye-tracking sensor system serves multiple functions: it measures interpupillary distance, tracks user gaze for interaction, and provides input for rendering adjustments. By making the sensor system multi-functional, the patent avoids adding dedicated separate components for each function, thereby managing complexity while achieving multiple goals.
Solution Approach 2:
The patent combines the interpupillary distance measurement function with the existing eye-tracking capability used for other XR interactions. Rather than adding a separate measurement system, the system merges the measurement process with the ongoing eye-tracking operation, consolidating hardware and processing requirements.
3Productivity
If real-time eye-tracking data processing is performed to determine interpupillary distance, then productivity is improved by automated configuration, but use of energy increases due to continuous sensor operation and data processing
Solution Approach 1:
Instead of continuously processing eye-tracking data at maximum rate, the system performs interpupillary distance determination at appropriate intervals - such as during initial setup, when changes are detected, or at scheduled moments. This periodic processing approach maintains configuration accuracy while reducing overall computational energy consumption compared to continuous real-time processing.
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 efficient, automated, and accurate interpupillary distance estimation and device adjustment, enhancing user experience by eliminating the need for external measurement tools and improving XR device configuration.
Implementation Method 1
at least one eye-tracking sensor configured to track eyes of the user
Data Source
AI summary
An apparatus configured to be worn on a head of a user includes at least one display configured to present one or more rendered images or videos to the user and at least one eye-tracking sensor configured to track eyes of the user. The apparatus also includes at least one processing device configured to (i) obtain eye-tracking data captured using the at least one eye-tracking sensor while the user is focusing on a point, object, or pattern within at least one rendered image or video presented on the at least one display and (ii) determine an interpupillary distance of the user based on the eye-tracking data.


