VR Peripheral Vision Testing With Real-Time Eye Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional visual assessment methods are limited to professional settings and lack dynamic adjustment of test parameters, making them less accurate and inaccessible for home use with household devices.
Innovation Solution
Implementing a virtual vision test using a head-mounted display (HMD) and camera, which generates a 3D virtual environment for dynamic visual stimulus presentation, real-time eye image capture, and analysis of eye movements to assess eye health and vision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional visual assessment methods are used, then standardized procedures and controlled clinical settings ensure accurate results, but the methods are limited to professional settings and cannot be implemented at home with household devices
Solution Approach 1:
The patent creates a virtual copy of the clinical vision testing environment using software that simulates standardized test procedures. The system replicates the functionality of specialized clinical equipment through virtual reality overlays and computational algorithms, enabling home users to access accurate vision testing without requiring physical specialized devices.
Solution Approach 2:
The patent replaces physical mechanical testing equipment with software-based virtual assessment systems. Instead of using actual optical instruments and physical test charts in a clinical setting, the system uses computer-generated visual stimuli, eye tracking algorithms, and virtual reality environments to perform the same assessment functions.
2Measurement precision
If traditional visual assessment methods are used, then standardized procedures are followed, but dynamic adjustment of test parameters is not allowed leading to less accurate assessments
Solution Approach 1:
The patent implements dynamic test parameters that can adjust in real-time based on user responses and performance. The system adapts difficulty levels, stimulus characteristics, and test parameters during administration based on individual user performance, enabling more accurate assessments while maintaining flexibility.
Solution Approach 2:
The system incorporates continuous feedback mechanisms that monitor user responses and automatically adjust test parameters accordingly. Performance data is fed back into the assessment algorithm to refine subsequent test items, improving measurement precision through adaptive testing approaches.
3Reliability
If traditional visual assessment methods are used, then controlled clinical settings ensure reliable results, but the methods cannot be implemented in real-time with household devices
Solution Approach 1:
The patent enables continuous real-time data collection during vision testing through ongoing eye tracking and response monitoring. The system maintains continuous engagement with the user throughout the assessment, collecting data streams without interruption to improve both reliability and efficiency of the testing process.
Data Source
AI summary
A virtual eye test can be conducted to evaluate peripheral vision in a virtual reality (VR) environment. The test can be conducted using an electronic device that includes a head-mounted display (HMD) and a camera. The electronic device can generate a VR user interface corresponding to a three-dimensional virtual environment and render the VR user interface on the HMD. The electronic device can simulate one or more spatial task scenarios and while simulating these scenarios, in real time, track gaze direction and peripheral responses to one or one or more using the camera. The device can then evaluate the gaze direction and peripheral responses for assessing peripheral vision performance.