Rotating Visual Field Astigmatism Assessment in VR Headsets
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Solution Overview
Problem
Traditional vision testing methods lack dynamic adjustment of test parameters and cannot be implemented in a home environment using household devices, leading to less accurate assessments.
Innovation Solution
Implementing methods and systems that utilize a head-mounted display (HMD) to generate a 3D virtual environment, dynamically adjust visual stimuli based on head orientation, and collect eye response data to automatically determine astigmatism parameters and other vision metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional vision testing methods are used, then the testing process is simple and can be performed with basic equipment, but the assessment accuracy is reduced and dynamic adjustment of test parameters is not possible
Solution Approach 1:
The patent replaces traditional mechanical vision testing equipment with a head-mounted display (HMD) system that uses digital rendering and software-based visual stimuli. This substitution enables dynamic parameter adjustment and 3D virtual environment creation while maintaining portability and ease of use, thereby improving measurement precision without proportionally increasing device complexity
Solution Approach 2:
The patent implements dynamic adjustment of visual stimulus parameters (such as position, size, and orientation) based on real-time head orientation tracking. This dynamic capability allows the system to adapt test parameters during execution, improving assessment accuracy by maintaining optimal stimulus presentation regardless of user movement, while the software-based implementation keeps the overall system relatively simple
2Adaptability or versatility
If traditional vision testing methods are used, then the equipment required is minimal and easy to obtain, but the tests cannot be dynamically adjusted and are limited to clinical settings
Solution Approach 1:
The patent makes the HMD system perform multiple functions: it serves as both a display device for visual stimuli and a tracking device for head orientation, while also functioning as a platform for delivering complex 3D virtual environment tests. This multi-functionality enables the system to be used in various settings (clinical and home environments) without requiring separate specialized equipment for each function, thereby improving adaptability while maintaining ease of operation
Solution Approach 2:
The system automatically tracks head orientation and dynamically adjusts visual stimulus parameters without requiring manual intervention or calibration by the user. This self-adjusting capability simplifies the user experience in home settings while enabling sophisticated adaptive testing, thereby improving both adaptability and ease of operation simultaneously
3Measurement precision
If dynamic adjustment of visual stimuli based on head orientation is implemented, then assessment accuracy is improved, but the complexity of the testing system increases
Solution Approach 1:
The patent replaces complex mechanical adjustment mechanisms with software-based dynamic rendering and digital stimulus manipulation. The HMD system uses software to calculate and render visual stimuli at adjusted positions and orientations based on head tracking data, eliminating the need for physical adjustment mechanisms while achieving the same functional outcome, thereby improving measurement precision without proportionally increasing device complexity
Data Source
AI summary
A vision test can be performed for cylinder correction assessment in a virtual environment. An electronic device, such as a head-mounted display, cam display a video clip including a plurality of image frames. Each image frame can include a predefined visual stimulus having a respective orientation with respect to a focal point. While displaying the video clip, the electronic device can obtain eye image data of an eye of a user. The electronic device can collect eye response data including a pupil size from the eye image data and determine a spontaneous user response to the video clip based on eye response data. The electronic device can automatically determine one or more astigmatism parameters based on the spontaneous user response.