Virtual Visual Equipment Evaluation for Objective Gaze Analysis
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Solution Overview
Problem
Existing methods for evaluating visual equipment performance are subjective and lack objective, accurate information about parameters of interest, such as gaze directions and object proximities, leading to biased comparisons and unreliable data interpretation.
Innovation Solution
A device and method that utilize input data to create models of a scene and a target wearer, virtually perform the visual task with the target equipment, and determine parameters of interest to objectively assess its appropriateness for the wearer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If subjective questionnaire methods are used to evaluate visual equipment performance, then the evaluation process is simple and easy to implement, but the accuracy and objectivity of the obtained data deteriorates
Solution Approach 1:
The patent replaces subjective questionnaire-based evaluation with an objective computational model that uses sensor data (locomotion parameters, head position, eye position) to calculate performance metrics. This substitution of mechanical/physical measurement systems for subjective reporting resolves the contradiction by providing accurate, objective data while maintaining implementation simplicity through automated processing.
Solution Approach 2:
The patent creates a virtual model that replicates the wearer's visual experience by simulating how the visual equipment affects perceived scene geometry. This virtual copy allows objective measurement of parameters like visual acuity, distortion, and gaze effort without requiring subjective wearer reports, thereby improving measurement precision while keeping the evaluation process manageable.
2Measurement precision
If electroencephalograph or eye-tracking devices are used to record wearer activity, then objective data about brain activity and gaze directions is obtained, but the device complexity and cost increases
Solution Approach 1:
The patent extracts only the essential locomotion parameters (trajectory, speed, direction, movements) needed for evaluation and processes them through a computational model, rather than using complex invasive devices like electroencephalographs. This extraction of necessary information from simpler sensor data achieves objectivity without the complexity of advanced medical-grade equipment.
Solution Approach 2:
The patent introduces a computational model as an intermediary that processes simple sensor inputs (head position, eye position, locomotion parameters) and transforms them into comprehensive performance metrics. This intermediary layer eliminates the need for complex direct measurement devices while maintaining objectivity through mathematical modeling of the visual experience.
3Productivity
If multiple visual equipments are evaluated through repeated experiments with the same wearer, then comparative performance data is obtained, but the reliability of comparison deteriorates due to order effects and learning effects
Solution Approach 1:
The patent creates virtual models of different wearers and uses computational simulation to evaluate multiple visual equipments. This virtual copying eliminates the need for repeated physical experiments with the same wearer, thereby removing order effects and learning effects while maintaining the ability to compare equipment performance across different user profiles.
Solution Approach 2:
The patent performs preliminary computational modeling of wearer characteristics and visual equipment properties before conducting evaluations. By pre-establishing accurate models of how different equipment affects different wearer types, the system enables reliable comparison without needing to conduct sequential experiments that could introduce temporal biases or learning effects.
Data Source
AI summary
A device for evaluating a performance of a target visual equipment for a visual task includes: at least one input adapted to obtain data) representative as a function of time of measurements of at least one parameter associated with an initial wearer of an initial visual equipment performing the task in a scene, obtain a model of the scene, of a target wearer; at least one processor configured for virtually performing the task with the target equipment by using the scene and target wearer models, and by applying the representative data) as a function of time to the target wearer model; determining, on the basis of the virtual performing, at least one parameter of interest; providing the same, to determine to which extent the target equipment is appropriate for the target wearer, by evaluating the performance of the target equipment as a function of the parameter of interest.