HMD Image Calibration for Pupil Offset Misalignment
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Solution Overview
Problem
Users of head-mounted display devices often experience dizziness due to mismatched pupillary distance, improper device wearing, or other reasons, leading to different images being seen by each eye when looking straight ahead.
Innovation Solution
An image calibration method that involves obtaining a pupil position offset and visual acuity of the user, determining an image center point offset based on these parameters, and adjusting the center point of the displayed image to align with the user's pupil shift direction, thereby ensuring that both eyes see the same image when looking straight ahead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the head-mounted display device uses fixed optical axes and display center points, then the device structure is simple and manufacturing is easy, but users experience image misalignment and dizziness when their pupillary distance does not match the device specifications
Solution Approach 1:
The patent performs image calibration adjustments before the user actually uses the device. The system pre-calculates and applies the necessary image center point offsets based on measured pupil position offsets, so that when the user looks straight ahead, the images are already correctly aligned for their specific pupillary distance, preventing dizziness before it occurs
Solution Approach 2:
The patent dynamically changes the image center point parameters based on the user's specific pupillary distance measurements. By adjusting the image center point offset parameters according to individual user characteristics, the system adapts the fixed optical structure to accommodate varying user anatomical differences, resolving the image misalignment issue
2Adaptability or versatility
If the device accommodates all user variations through adjustable parameters, then user comfort is improved, but the device complexity and calibration process increase
Solution Approach 1:
The patent replaces complex mechanical adjustment mechanisms with software-based image processing. Instead of providing physical adjustment mechanisms for optical axes and display positions, the system uses computational methods to calculate and apply image center point offsets, achieving adaptability through digital parameter modification rather than mechanical complexity
Solution Approach 2:
The patent achieves adaptability by modifying software parameters (image center point offsets) rather than hardware configurations. The system stores and applies different parameter sets corresponding to various pupil position offsets, enabling versatile accommodation of user variations through simple parameter selection rather than complex mechanical adjustments
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
The method effectively eliminates image misalignment for users, preventing dizziness and enhancing the overall user experience by ensuring that both eyes see the same image when looking straight ahead.
Implementation Method 1
the optical lens refracts light from the display into a human eye, so that the user can see a magnified virtual image
Data Source
AI summary
An image calibration method and a device are provided. The method includes: obtaining a pupil position offset of a user and a visual acuity of the user, where the pupil position offset of the user is an offset of a pupil of the user relative to an optical axis; and adjusting a to-be-displayed image based on the pupil position offset of the user and the visual acuity of the user. In this way, when the user wears a head-mounted display device improperly, a point seen by the user when the user looks straight ahead is a center point of an image displayed on a display.


