VR Eye Testing With Real-Time Gaze Feedback
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Solution Overview
Problem
Traditional vision testing methods lack dynamic adjustment of test parameters and cannot be implemented for home use with household devices, leading to less accurate assessments.
Innovation Solution
Implementing virtual vision tests using head-mounted displays (HMDs) with integrated cameras and electrodes, or wireless communication links, to capture eye images and electrical signals, and determine eye health conditions in real-time, enabling dynamic adjustment of visual stimuli based on user responses.
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 head-mounted display device integrates multiple functions including visual stimulus presentation, eye tracking via integrated cameras, electrophysiological signal collection via electrodes, and wireless communication for data transmission. This multi-functional integration enables accurate vision assessment while maintaining ease of use and portability for home environments.
Solution Approach 2:
The patent replaces traditional mechanical vision testing equipment with a head-mounted display system that uses digital visualization, computer vision algorithms for eye tracking, and wireless digital communication. This substitution enables dynamic parameter adjustment and real-time data processing while reducing physical device complexity.
2Adaptability or versatility
If traditional vision testing methods are used, then the equipment is simple and accessible, but the testing environment is locked and cannot be implemented at home
Solution Approach 1:
The head-mounted display device is designed for autonomous operation in home environments, with automated eye tracking, automatic visual stimulus presentation, integrated sensors for data collection, and wireless communication for transmitting results to healthcare providers. This self-service capability enables accurate vision assessment without requiring clinic infrastructure.
Solution Approach 2:
The system dynamically adjusts visual stimulus parameters, stimulus timing, and testing sequences based on real-time eye tracking data and user responses. This dynamic adaptability maintains assessment accuracy while enabling flexible deployment in various environments including home settings.
3Adaptability or versatility
If traditional vision testing methods are used, then the test parameters are fixed, but dynamic adjustment for personalized assessment is not possible
Solution Approach 1:
The system continuously monitors eye position, eye movements, and electrophysiological signals during testing, using this feedback to dynamically adjust visual stimulus parameters, modify testing sequences, and adapt to individual user responses. This real-time feedback enables personalized assessment while optimizing testing efficiency.
Solution Approach 2:
The system performs preliminary eye tracking calibration and baseline measurements before the main vision assessment, and uses preliminary test results to customize subsequent testing parameters. This preliminary action reduces overall testing time by avoiding unnecessary standardized steps while maintaining assessment comprehensiveness.
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
Enhances the accuracy and accessibility of vision testing by allowing dynamic adjustment of test parameters and enabling testing in a home environment, providing personalized and precise eye health assessments.
Implementation Method 1
capturing a sequence of eye images using the camera of the electronic device
Implementation Method 2
collecting a plurality of electrical signals by a plurality of electrodes that contact a head of a user
Data Source
AI summary
Biomedical data can be applied to facilitate a vision test in a virtual reality (VR) environment using an electronic device that includes a head-mounted display (HMD) and a camera. The electronic device can direct the camera to an eye area of a user wearing the electronic device, and displays, on the HMD, a visual stimulus. While displaying the visual stimulus, in real time, the electronic device captures a sequence of eye images using the camera of the electronic device, and each eye image includes a respective region of interest (ROI) corresponding to a subset of the eye area of the user. Biomedical data are extracted from the sequence of eye images. The electronic device obtains a user response to the visual stimulus, and generates an output based on the user response and the biomedical data, the output indicating at least whether the user response satisfies a criterion.