VR Motion Sensitivity Testing With Adaptive Virtual Scenes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing VR technology lacks effective methods for diagnosing and assessing various ocular conditions such as eye misalignment, macular degeneration, tear film characteristics, floater characteristics, eye tracking issues, and motion sensitivity, despite advancements in eye-tracking technology.
Innovation Solution
A VR system integrated with high-resolution headsets and precision eye-tracking technology, combined with specialized software, performs a series of interactive exercises to assess eye movements, visual reaction time, eye coordination, motion sensitivity, and spatial awareness, providing real-time data analysis and detailed reports for clinical and research applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional eye examination methods are used, then the examination process is simple and non-invasive, but the diagnostic accuracy and comprehensive assessment capability are limited
Solution Approach 1:
The patent replaces traditional mechanical eye examination tools with a VR-based optical and computational system. The VR headset displays virtual stimuli that require precise eye tracking, and the system uses computational algorithms to analyze eye movement patterns, replacing manual mechanical examination methods with an integrated optical-computational approach for enhanced diagnostic accuracy.
Solution Approach 2:
The VR examination system is designed to assess multiple ocular conditions simultaneously through a single integrated platform. The system can detect eye misalignment, macular degeneration, tear film characteristics, floater characteristics, eye tracking issues, and motion sensitivity by presenting various virtual stimuli and analyzing different aspects of eye movement and visual response.
2Adaptability or versatility
If VR technology with eye-tracking is implemented, then comprehensive assessment of ocular conditions is enabled, but the device complexity and cost increase
Solution Approach 1:
The VR examination system integrates multiple assessment capabilities within a single platform. The same VR headset and eye-tracking system used for assessing motion sensitivity can also evaluate eye alignment, macular health, tear film characteristics, floater detection, and eye tracking issues by presenting different virtual stimuli and analyzing various eye movement parameters.
Solution Approach 2:
The patent introduces specialized software as an intermediary layer between the VR hardware and the analysis system. This software manages the complexity by coordinating the VR headset, eye-tracking sensors, stimulus presentation, and data analysis algorithms, allowing comprehensive assessment capabilities while abstracting the underlying system complexity from the user and clinician.
3Measurement precision
If immersive VR exercises are used, then patient engagement and diagnostic precision are improved, but the ease of operation decreases
Solution Approach 1:
The VR examination system performs self-alignment and self-calibration through automated eye-tracking and virtual stimulus presentation. The system automatically tracks eye movements, measures response times, and generates diagnostic reports without requiring manual adjustment or complex user input, maintaining high diagnostic precision while simplifying the user experience through automated functionality.
Data Source
AI summary
A patient's sensitivity to motion can be evaluated via a virtual reality (VR) system, which includes a VR headset in electronic communication with a computing device. The computing device causes virtual environments, which can include continuously moving elements, to be displayed on the VR headset. Using varying combinations of eye-tracking sensors, eye-tracking cameras, motion-tracking sensors, handheld devices, and microphones, the VR headset can collect data about the patient as she observes the virtual environment and inputs her motion sensitivity response. Optionally, advanced algorithms in the computing device dynamically alter the motion of the moving elements in the virtual environment based on the patient's inputs. This dynamic evaluation can facilitate a detailed assessment of the patient's motion sensitivity while preventing the patient from becoming too motion sick during the evaluation.