AR Eyeglass System for Adaptive Visual Field Remapping
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Solution Overview
Problem
Individuals with visual impairments, such as age-related macular degeneration and retinitis pigmentosa, face challenges in maintaining functional vision due to central vision loss, leading to difficulties in reading, mobility, and overall quality of life, as existing visual aids rely heavily on magnification which reduces field of view and fails to adapt to personal visual field nuances.
Innovation Solution
A wearable AR eyeglass system with integrated cameras, processors, and software that applies real-time image modification algorithms, allowing users to adjust and enhance their vision by mapping, warping, and scaling images to suit their specific field of view, without requiring detailed initial FOV measurements, and incorporates gamification and pupil tracking for training and adaptation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If magnification is used to improve visual acuity, then reading ability is enhanced, but field of view is reduced
Solution Approach 1:
The system transitions from 2D magnification to 3D spatial remapping by warping the entire visual field. Instead of simply enlarging the central view, the system redistributes visual information across the entire retinal surface, including peripheral areas, thereby maintaining wide field of view while improving central visual acuity through adaptive spatial transformation.
Solution Approach 2:
The visual field remapping is dynamically adjusted based on real-time eye tracking data and user feedback. The system continuously adapts the transformation parameters to optimize both visual acuity and field of view coverage, allowing the mapping strategy to evolve from initial coarse remapping to refined adaptive remapping as the user undergoes training.
2Measurement precision
If detailed FOV measurements are taken to improve image correction accuracy, then visual aid precision is enhanced, but device complexity and setup time increase
Solution Approach 1:
The system performs self-calibration by automatically capturing the user's natural eye movements and visual field characteristics during initial setup. Through automated eye tracking and feedback loops, the system generates personalized remapping parameters without requiring manual FOV measurements or complex calibration procedures, thereby achieving high precision with minimal user burden.
Solution Approach 2:
The system incorporates continuous feedback mechanisms where the user's visual responses and eye movement patterns are monitored in real-time. This feedback is used to iteratively refine the image remapping parameters, allowing the system to automatically adapt to the user's specific visual impairment characteristics and achieve optimal correction accuracy without manual intervention.
3Productivity
If eccentric viewing training is implemented to improve reading ability, then functional vision is enhanced, but training time and user effort increase
Solution Approach 1:
The system pre-configures the visual field remapping to proactively guide eye movements toward optimal eccentric viewing locations. By warping the visual scene to place reading material at the user's preferred retinal locus before the user even attempts to read, the system reduces the cognitive and temporal burden of training while still achieving the benefits of eccentric viewing adaptation.
Solution Approach 2:
The AR display acts as an intermediary that translates natural gaze directions into optimized viewing positions. The system mediates between the user's natural eye movements and the optimal eccentric viewing strategy by dynamically adjusting the visual field remapping to compensate for imperfect eye control, thereby accelerating the training process and reducing the effort required to achieve functional reading ability.
Data Source
AI summary
Interactive systems using adaptive control software and hardware from known and later developed eyepieces to later developed head-wear to lenses, including implantable, temporarily insertable and contact and related film based types of lenses including thin film transparent elements for housing cameras lenses and projector and functional equivalent processing tools. Simple controls, real-time updates and instant feedback allow implicit optimization of a universal model while managing complexity.