VR Vision Testing With Biometric Feedback and Adaptive Stimuli
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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 a virtual vision test using a head-mounted display (HMD) with integrated cameras and electrodes, capturing eye images and electrical signals to determine eye health conditions, and adjusting visual stimuli dynamically 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 patent combines multiple functions into a single integrated system: the HMD displays visual stimuli while embedded cameras capture eye movements, electrodes collect physiological signals, and processors analyze all data together. This merging of display, sensing, and processing functions into one device achieves high measurement precision without requiring multiple separate complex systems.
Solution Approach 2:
The HMD serves multiple functions simultaneously: it acts as a visual stimulus display, an eye tracking device, a physiological signal collector, and a processing unit. This multi-functionality allows the single device to perform comprehensive vision assessment with high accuracy while avoiding the complexity of coordinating multiple specialized devices.
2Adaptability or versatility
If traditional vision testing methods are used, then the testing equipment is simple and accessible, but the ability to perform home-based testing with household devices is limited
Solution Approach 1:
The HMD is designed to perform multiple vision testing functions within a single device that can be used at home. It displays visual stimuli, tracks eye movements, collects physiological data, and processes results—all functions needed for comprehensive vision assessment—making it adaptable for home-based testing without requiring a complex array of separate household devices.
Solution Approach 2:
The system performs self-calibration and automatic analysis of vision test results without requiring professional operator intervention. The embedded processors automatically analyze eye movement data and physiological signals to generate assessment results, enabling users to conduct comprehensive vision testing at home independently.
3Extent of automation
If traditional vision testing methods are used, then the testing procedure is straightforward, but dynamic adjustment of test parameters based on user responses is not possible
Solution Approach 1:
The system continuously monitors user eye movements and physiological responses during testing and uses this feedback to automatically adjust test parameters in real-time. The embedded processors analyze captured data and modify stimulus presentation, testing sequences, and assessment criteria dynamically, achieving high automation without requiring complex external control systems.
Solution Approach 2:
The vision testing system transitions from static, pre-programmed test protocols to dynamic, adaptive testing where parameters change in real-time based on user responses. The HMD and embedded processors enable continuous adjustment of stimulus characteristics, testing difficulty, and assessment criteria during the test session, making the system responsive to individual user needs.
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 adjustments and home-based assessments using extended reality environments.
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
Biometric feedback 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). The electronic device can establish a wireless communication link with a wearable device associated with a user of the electronic device. A user interface is rendered on the HMD, and includes a first visual stimulus corresponding to the virtual vision test. While displaying the visual stimulus, in real time, the electronic device collects a stream of biometric data from the wearable device via the wireless communication link. The electronic device determines information of at least one of a second visual stimulus following the first visual stimulus and a user response to the first visual stimulus based on the stream of biometric data.