IPD Calibration via Hologram Alignment in Extended Reality
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Solution Overview
Problem
Extended reality (ER) systems face challenges in accurately calibrating interpupillary distance (IPD) settings, leading to discomfort for users due to deviations between the user's actual IPD and the system's interocular distance, especially when eye tracking units are not accurate or unavailable.
Innovation Solution
The ER system identifies a physical object in the scene, determines its distance, and generates a hologram to calibrate the IPD setting by displaying it at a correct depth, allowing users to adjust the IPD setting until the hologram aligns with the object, ensuring precise matching of the user's IPD.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the ER system uses a fixed IPD setting, then the device complexity is reduced, but the user comfort and image rendering accuracy deteriorate due to deviations between user's actual IPD and system's interocular distance
Solution Approach 1:
The system dynamically changes the IPD parameter based on detected user characteristics. The processor adjusts the interocular distance setting by modifying rendering parameters such as disparity maps, convergence points, and focal depth to match the user's actual IPD, thereby improving comfort and image accuracy without requiring complex hardware modifications
Solution Approach 2:
The system performs self-calibration by using the user's own visual feedback to automatically adjust IPD settings. The processor monitors user eye movements, head position, and focus patterns, then autonomously optimizes the rendering parameters to match the user's anatomical characteristics, eliminating the need for manual calibration tools or complex external measurement devices
2Ease of operation
If the ER system displays holograms at incorrect depth due to inaccurate IPD calibration, then the ease of operation is maintained, but the user comfort and visual alignment deteriorate
Solution Approach 1:
The system implements a feedback loop where the processor continuously monitors user visual responses, eye tracking data, and head position, then adjusts the hologram depth and convergence points in real-time. This closed-loop control ensures that visual feedback aligns with the user's actual IPD, preventing visual discomfort while maintaining simple operation
Solution Approach 2:
The system dynamically adjusts hologram rendering parameters including depth, focal distance, and convergence points based on real-time detection of user IPD and viewing conditions. This dynamic adaptation allows the holograms to automatically reposition at correct depths without requiring manual user intervention, thereby maintaining ease of operation while eliminating visual misalignment
Data Source
AI summary
Techniques for facilitating calibration of an IPD for an ER system are disclosed. A current IPD setting for the ER system is determined. An object in a scene is selected. A first distance between the ER system and the object is determined. A hologram is generated, where this hologram includes at least one boundary region that corresponds to at least one boundary region of the object. The hologram is displayed in the scene. The hologram is displayed based on the current IPD setting for the ER system. User input adjusts the current IPD setting such that a new IPD setting is provided to the ER system. The hologram is displayed in the scene based on the new IPD setting. Based on the new IPD setting, the hologram is caused to align with the object, thereby calibrating the IPD setting.