Eye Tracking Calibration Brightness Adjustment for HMDs
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Solution Overview
Problem
Existing eye tracking calibration methods are inefficient and can cause user discomfort, particularly when displaying high brightness calibration images that do not account for individual eye properties such as iris color and pupil size.
Innovation Solution
The system adjusts the image brightness of eye tracking calibration images based on detected eye properties, such as iris color and pupil size, to optimize processing efficiency and user comfort by selecting from predefined calibration modes that offer different image brightness settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If high brightness calibration images are displayed during eye tracking calibration, then the calibration process can be completed, but user discomfort increases and processing resources are wasted
Solution Approach 1:
The system dynamically adjusts the brightness parameter of calibration images based on detected eye properties (iris color, pupil size). Different eye properties require different brightness levels for effective calibration, so the system changes the brightness parameter to match individual user characteristics, avoiding both discomfort from excessive brightness and ineffective calibration from insufficient brightness
Solution Approach 2:
The system performs preliminary detection of eye properties (iris color, pupil size) before displaying calibration images. This preliminary action allows the system to pre-determine the appropriate brightness level for calibration images, ensuring that the calibration process starts with optimally adjusted parameters rather than default settings that may cause discomfort
2Reliability
If high brightness calibration images are displayed during eye tracking calibration, then the calibration process can be completed, but processing resources are wasted
Solution Approach 1:
The system changes the brightness parameter of calibration images based on detected eye properties. By adjusting brightness to match individual user characteristics, the system avoids displaying unnecessarily high brightness images that would waste processing resources while still ensuring effective calibration is achieved at the appropriate brightness level
Solution Approach 2:
The system uses the user's own eye properties (iris color, pupil size) to determine the calibration parameters. The eye characteristics themselves serve as the basis for setting the appropriate brightness level, eliminating the need for trial-and-error approaches that would waste processing resources
3Device complexity
If standard brightness calibration images are displayed without considering individual eye properties, then the calibration process is simple, but calibration effectiveness decreases
Solution Approach 1:
The system performs preliminary detection of eye properties (iris color, pupil size) before the actual calibration image display. This preliminary step adds minimal complexity but enables subsequent brightness adjustment to match individual user characteristics, significantly improving calibration effectiveness without requiring complex iterative adjustments during the calibration process itself
Solution Approach 2:
The system changes the brightness parameter of calibration images based on detected eye properties. By adjusting brightness to match individual user characteristics, the system avoids displaying unnecessarily high brightness images that would waste processing resources while still ensuring effective calibration is achieved at the appropriate brightness level
Data Source
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AI summary
An information processing apparatus comprises analysis circuitry to receive captured images comprising at least one eye of a user when viewing display images displayed by a head mounted display "HMD" and detect one or more eye properties for the user in dependence on at least some of the captured images and generate eye information indicative of one or more of the eye properties for the user, control circuitry to control, in dependence on the eye information, image brightness associated with one or more eye tracking calibration images to be displayed to the user, and processing circuitry to output one or more of the eye tracking calibration images for display by the HMD.