Vestibulo-Ocular Reflex Correction in Head-Mounted Displays
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current head-mounted display (HMD) systems fail to effectively compensate for the vestibulo-ocular reflex (VOR) effects, leading to unreadable images in vibrating or turbulent environments, as they do not dynamically align eye motion with head motion, resulting in image instability.
Innovation Solution
An algorithm incorporating an eye angular VOR motion prediction model and an eye angular position tracking model is developed to predict and correct for VOR effects, ensuring the eye position aligns with the head position after motion, using dynamic pseudo-inverse transfer functions and feedback controllers to mitigate drift and reject noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current HMD systems display images without VOR compensation, then the system complexity is low, but the image readability deteriorates in vibrating or turbulent environments
Solution Approach 1:
The system performs preliminary compensation by predicting eye position based on head motion before the actual eye movement occurs. The algorithm calculates expected VOR effects in advance and pre-adjusts the displayed image position, ensuring readability is maintained proactively rather than reactively.
Solution Approach 2:
The system implements a feedback mechanism where the displayed image position is continuously adjusted based on detected head motion and predicted eye position. The image is dynamically repositioned to compensate for VOR effects, creating a closed-loop system that maintains image stability despite head movements.
2Adaptability or versatility
If the displayed image is shifted to reflect changing eye gaze direction during head motion, then the image follows head movement, but the image becomes unstable due to mismatch with actual eye motion
Solution Approach 1:
The system dynamically adjusts the image display based on real-time head motion detection and eye position prediction. Rather than using a fixed compensation method, the algorithm continuously adapts the image position to match the predicted eye gaze direction, allowing the system to respond flexibly to varying motion conditions.
Solution Approach 2:
The system changes display parameters (image position, orientation) based on detected head motion parameters and predicted eye position. By dynamically modifying these parameters in response to motion, the system maintains image stability while adapting to changing viewing conditions.
3Ease of operation
If eye motion is assumed aligned with head facing direction, then the system operation is simple, but the image becomes unreadable due to VOR mismatch
Solution Approach 1:
The system introduces an intermediary computational model (eye position prediction algorithm) that translates head motion into expected eye position. This intermediary layer allows the system to account for the complex VOR relationship without directly measuring eye position, maintaining operational simplicity while improving accuracy.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A method for displaying images on a head-mounted display (HMD) device that compensates for a user's vestibulo-ocular reflex (VOR) response. The displayed HMD image is compensated for predicted eye position such that the displayed image stays centered on the fovea of the eye, during transient eye movement caused by head motion, resulting in better display readability, discernment and cognitive processing.