Optical Lens Mis-Adaptation Detection Using Head Movement Patterns
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Solution Overview
Problem
Existing methods fail to detect mis-adaptation of ophthalmic lenses in everyday life environments, leading to wearer discomfort or abandonment of the lenses due to delayed or incomplete detection of improper head-eye coordination.
Innovation Solution
An apparatus and method using processing circuitry to receive and analyze head data, comparing it with known mis-adaptation patterns to detect and alert on mis-adaptation, utilizing sensors for head movements and potentially other biometric data, and employing machine learning for pattern recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional laboratory-based detection methods are used, then detection accuracy is improved, but detection timing is delayed until the wearer visits the laboratory
Solution Approach 1:
The optical device incorporates sensors and processing circuitry that enable it to autonomously monitor its own usage and detect mis-adaptation conditions without requiring professional intervention. The device self-detects by comparing actual usage parameters against optimal parameters stored in memory, allowing continuous monitoring in the wearer's everyday environment rather than requiring periodic laboratory visits.
Solution Approach 2:
Sensors act as intermediaries between the wearer's head movements and the detection system. These sensors capture head position and orientation data, which are then processed by the circuitry to determine whether mis-adaptation conditions exist, enabling remote detection without direct professional observation.
2Reliability
If professional intervention is required for detection, then detection reliability is improved, but ease of operation deteriorates due to required laboratory visits
Solution Approach 1:
The system performs self-detection by automatically comparing usage data against stored optimal parameters and generating alerts when mis-adaptation is detected. This eliminates the need for the wearer to visit a laboratory or consult a professional, making the detection process as easy as wearing the device itself.
Solution Approach 2:
The system provides immediate feedback to the wearer through alerts (visual, acoustic, or haptic) when mis-adaptation conditions are detected. This feedback loop enables the wearer to adjust their usage or seek professional help promptly, maintaining reliability while improving accessibility.
3Loss of time
If continuous monitoring is implemented, then detection timeliness is improved, but energy consumption increases
Solution Approach 1:
Instead of continuous monitoring, the system periodically samples head position and orientation data at intervals sufficient to detect mis-adaptation patterns. This periodic sampling maintains detection timeliness while significantly reducing energy consumption compared to continuous measurement.
Solution Approach 2:
The system monitors only the critical parameters necessary for detecting mis-adaptation (head position and orientation) rather than all possible physiological parameters. This partial monitoring approach achieves timely detection of the specific condition of interest while minimizing energy usage.
Data Source
AI summary
An apparatus for detecting mis-adaptation of an optical device to a wearer includes processing circuitry configured to receive and store over time head data relative to the head of the wearer when wearing and using the optical device, process the head data based on head data patterns associated with known mis-adaptation of an optical device to the wearer of said optical device, and detect mis-adaptation of the optical device to the wearer by matching the received and stored head data with head data patterns associated with mis-adaptation.