Probability Model Calculation for Optical Element Reference Posture
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Solution Overview
Problem
Current methods for determining reference postures of a subject for personalized optical elements are time-consuming and unreliable, requiring multiple measurements at different positions to estimate optimal postures for far and near vision, which can tire the subject and lead to inaccurate calculations for manufacturing parameters.
Innovation Solution
A calculation module that determines a probability model for a first reference posture based on values from a second reference posture and a model of constraints, allowing for more accurate and efficient measurement of parameters for optical elements, such as progressive lenses, by analyzing the orientation and location of the optical element relative to the subject's gaze axis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple measurements at different positions are performed to determine reference postures, then the accuracy of optical element manufacturing parameters is improved, but the measurement time increases and subject fatigue increases
Solution Approach 1:
The system performs preliminary measurements of the subject's head position and eye gaze direction at multiple different target positions beforehand. These preliminary actions capture the natural variations in reference postures, which are then used to calculate probability models that predict optimal optical element parameters without requiring the subject to undergo lengthy repeated measurements during the actual fitting process.
Solution Approach 2:
The system creates a probabilistic model that copies and generalizes from the measured reference posture data collected at multiple positions. Instead of requiring the subject to repeatedly assume exact reference postures, the system uses the copied patterns from preliminary measurements to determine optimal optical parameters, significantly reducing measurement time while maintaining accuracy.
2Measurement precision
If multiple measurements at different positions are performed to determine reference postures, then the accuracy of optical element manufacturing parameters is improved, but subject fatigue increases leading to head posture modifications
Solution Approach 1:
All necessary measurements of head position and eye gaze are performed in advance when the subject is fresh and not fatigued. The preliminary measurement phase captures accurate reference posture data before any fatigue-induced posture changes occur. The subject then wears the optical element based on these pre-determined parameters, eliminating the need for repeated measurements that would cause fatigue and posture inconsistency.
3Reliability
If probability models are calculated from multiple reference posture measurements, then the reliability of optical element parameter determination is improved, but the calculation complexity increases
Solution Approach 1:
The system transforms the complex problem of determining optimal optical parameters by changing from direct geometric calculation to probabilistic modeling. Instead of calculating exact reference postures, the system uses probability models that incorporate natural variations in head and eye positions. This parameter change from deterministic to probabilistic approach simplifies the calculation while improving reliability by accounting for real-world variability.
Data Source
AI summary
A calculation module for determining a probability model of a parameter of a first reference posture of a subject, the probability model being intended to determine at least a production parameter of an optical element suitable for the subject, the calculation module being configured: to determine at least one value of a parameter of a second reference posture, during an occurrence of the second reference posture, and to determine the probability model of a parameter of a first reference posture based on the at least one value of the parameter of the second reference posture.