Virtual Wearer Modeling for Personalized Visual Equipment Evaluation
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Solution Overview
Problem
Existing methods for evaluating visual equipment performance, such as eyeglasses, lack personalization and fail to account for individual user habits and specific usage scenarios, leading to suboptimal selection and customization.
Innovation Solution
A device and method that utilize virtual models (avatars) to simulate various scenarios and performance criteria, tailored to individual user profiles, allowing for automated selection and evaluation of visual equipment performance based on personalized activity profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human wearer tests are conducted to evaluate visual equipment performance, then measurement precision is improved, but loss of time increases due to lengthy testing processes
Solution Approach 1:
The patent creates virtual copies of wearers (virtual avatars) and virtual copies of testing scenarios to evaluate visual equipment performance. Instead of conducting lengthy physical tests on real human wearers, the system uses virtual models that replicate human visual behavior and responses, thereby maintaining measurement precision while dramatically reducing testing time.
Solution Approach 2:
The patent replaces the mechanical system of physical human testing with a computational simulation system. Virtual avatars equipped with virtual visual equipment perform virtual tasks in simulated environments, substituting the need for actual human participants and their physical interactions with real-world objects, thus eliminating time-consuming manual testing procedures.
2Productivity
If standardized virtual tests are used for group evaluation, then productivity is improved, but adaptability deteriorates as individual wearer habits are not considered
Solution Approach 1:
The patent implements dynamic customization of virtual tests based on individual wearer characteristics. The system allows test parameters, scenarios, and criteria to be dynamically adjusted according to each wearer's specific habits, preferences, and usage patterns, enabling both efficient group evaluation and personalized adaptation without sacrificing either productivity or adaptability.
Solution Approach 2:
The patent applies local quality by allowing different aspects of the evaluation to be customized for different wearers. While the overall evaluation framework remains standardized for efficiency, specific test scenarios, performance criteria, and scenario weights can be locally adjusted to match individual wearer characteristics, ensuring both productivity and personalization.
3Adaptability or versatility
If multiple personalized virtual tests are created for each individual, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent creates a universal virtual testing platform that can handle multiple personalized evaluations through a single integrated system. The virtual avatar framework, test scenario library, and performance criterion set serve multiple functions across different wearers and evaluation types, reducing the need for separate specialized systems for each individual while maintaining high adaptability.
Solution Approach 2:
The patent performs preliminary actions by pre-configuring virtual avatars, test scenarios, and performance criteria that can be reused and adapted. Rather than creating entirely new test configurations for each individual, the system prepares a library of reusable virtual test components that can be efficiently customized through parameter adjustment, thereby reducing system complexity while maintaining personalization capability.
Data Source
AI summary
A device for evaluating the performance of visual equipment for a wearer. The device includes at least one input adapted to obtain virtual tests to be performed with the equipment, each test including at least one scenario combined with at least one virtual model of the wearer, defining how a visual task including a sequence of fixation points is to be carried out by the model in an environment defined by a description of shapes and positions of elements to be viewed by the model, at least one processor configured for selecting at least one test, based on at least one personalized real or simulated wearer activity profile representing usage of the equipment by the wearer, and evaluating the performance of the equipment with which the selected test is performed by the model by computing for one or more fixation points at least one performance criterion generated for the task.