VR Eye Fatigue Monitoring With Adaptive Visual Complexity

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Solution Overview

Problem

Traditional visual assessment methods are limited to professional settings and do not allow for dynamic adjustment of test parameters, making them less accurate and inaccessible for at-home use.

Innovation Solution

Implementing a virtual reality (VR) system with a head-mounted display (HMD) and eye-tracking sensors to conduct vision tests in a controlled, immersive environment, dynamically adjusting test parameters and simulating various conditions to assess eye health and vision sensitivity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional visual assessment methods are used in professional settings with fixed parameters, then reliability of clinical diagnosis is improved, but adaptability to different environments and dynamic adjustment of test parameters deteriorates

Engineering Contradiction:

Improveclinical diagnosis reliabilityVSAvoidenvironmental adaptability

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system dynamically adjusts visual test parameters including stimulus complexity, presentation duration, and inter-stimulus intervals based on real-time eye fatigue detection. The test protocol transitions from static fixed parameters to adaptive dynamic parameters that respond to user physiological state, resolving the contradiction between clinical reliability and environmental adaptability.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes multiple test parameters simultaneously including visual stimulus characteristics, timing parameters, and complexity levels based on detected eye fatigue metrics. This multi-parameter adaptation enables the system to maintain diagnostic reliability across varying environments while customizing the test to individual user needs.

Inventive Principle:

Principle #35Parameter changes

2Ease of operation

If traditional visual assessment methods with fixed parameters are used, then ease of operation in controlled clinical environments is improved, but measurement precision and accuracy of vision assessment deteriorates

Engineering Contradiction:

Improveoperational simplicityVSAvoidvision assessment accuracy

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The system incorporates real-time feedback loops where eye tracking data and fatigue metrics continuously inform adjustments to test parameters. This closed-loop feedback mechanism automatically optimizes measurement precision without requiring operator intervention, maintaining ease of operation while dramatically improving assessment accuracy through adaptive parameter adjustment based on physiological responses.

Inventive Principle:

Principle #23Feedback

3Measurement precision

If comprehensive eye tracking and real-time monitoring are implemented, then measurement precision of eye health assessment is improved, but device complexity and computational requirements deteriorates

Engineering Contradiction:

Improveeye health assessment accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the complex vision assessment into distinct functional modules: eye tracking module, fatigue detection module, parameter adjustment module, and result analysis module. Each module handles specific computational tasks independently, reducing overall system complexity while maintaining high measurement precision through specialized processing in each segment.

Inventive Principle:

Principle #1Segmentation

4Adaptability or versatility

If dynamic adjustment of visual complexity and test parameters is implemented, then adaptability to user eye fatigue levels is improved, but ease of operation and implementation accessibility deteriorates

Engineering Contradiction:

Improveparameter adaptabilityVSAvoidimplementation accessibility

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system performs self-adjustment of test parameters based on automated eye fatigue detection, eliminating the need for operator intervention or specialized clinical training. The system monitors its own performance metrics and autonomously modifies test complexity and duration, making advanced adaptive vision testing accessible in non-clinical settings while maintaining high parameter adaptability.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20260076567A1Methods and systems for virtual reality eye fatigue monitoring and adjustment

Publication Date: 2026.03.19 ZENNI OPTICAL

AI summary

A virtual reality (VR) system can be implemented to adjust visual complexity based on real-time eye fatigue monitoring. The system utilizes an electronic device that includes a head-mounted display (HMD) and eye-tracking sensors. The device generates a VR user interface corresponding to a three-dimensional virtual environment and renders it on the HMD. While the user interacts with the virtual environment, the system continuously monitors their eye movements and behavior using the eye-tracking sensors. The system analyzes this data to detect signs of eye fatigue. Based on the detected eye fatigue, the system dynamically adjusts the visual complexity of the VR user interface in real-time. This adaptive approach aims to enhance user comfort and potentially extend the duration of VR sessions without causing excessive eye strain.