Mixed-Reality Vision Compensation for Retinal Distortion Modeling
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Solution Overview
Problem
Current assistive technologies fail to provide individualized and specialized visual aids for patients with vision loss due to the lack of understanding of the relationship between ocular physiology and visual function, and they cannot accurately simulate the perceptual impact of diseases like AMD, leading to ineffective vision recovery.
Innovation Solution
A parametric model is developed to simulate the perceptual deficit caused by retinal damage, using a mixed-reality headset to compensate for vision loss by modeling luminance degradation, rotational distortion, and spatial distortion, and applying inverse functions to enhance remaining vision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If commercially available goggles with changeable lenses are used to simulate vision loss, then the device is inexpensive and easy to set up, but the hardware cannot be modified once built and thus loses effectiveness as the disease progresses
Solution Approach 1:
The patent implements dynamic adaptability by allowing the software to be reconfigured and updated to match the patient's changing visual deficits as the disease progresses. The system uses repeated assessments to update the visual deficit map, enabling the assistive technology to adapt to new levels of vision loss without requiring hardware replacement.
Solution Approach 2:
The patent changes the approach from fixed hardware parameters to software-based parameter adjustment. By using software to simulate visual deficits rather than physical lenses, the system can dynamically adjust parameters such as acuity reduction, field loss patterns, and distortion characteristics to match the patient's current condition.
2Adaptability or versatility
If software-based simulation techniques are used to simulate vision impairments, then the system can be modified, but it works on a regular monitor and falls short of providing complete binocular and stereoscopic simulation
Solution Approach 1:
The patent transitions from two-dimensional monitor-based simulation to three-dimensional immersive virtual reality simulation. By using VR headsets that provide stereoscopic display and head tracking, the system adds the dimension of depth perception and binocular interaction, creating a more accurate representation of the patient's visual experience.
Solution Approach 2:
The patent makes the software platform multi-functional by enabling it to work across different display technologies (regular monitors, VR headsets, augmented reality devices). The core visual deficit simulation engine remains universal while adapting to different output devices, allowing the same software to provide accurate binocular simulation in VR environments.
3Adaptability or versatility
If conventional AR systems are used to simulate visual impairment, then the system is available, but it cannot accurately model the perceptual loss caused by actual physiological damage to the retina
Solution Approach 1:
The patent implements a feedback loop where the system repeatedly assesses the patient's visual function and updates the visual deficit map accordingly. This feedback mechanism ensures that the simulation accurately reflects the patient's actual perceptual loss by comparing simulated vision with real-world performance and adjusting the model parameters.
Solution Approach 2:
The patent performs preliminary comprehensive visual assessments to establish an accurate baseline of the patient's visual deficits before implementing the AR simulation. By conducting detailed tests of visual acuity, field loss, and perceptual function in advance, the system can create a more accurate initial model of the patient's visual impairment.
Data Source
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AI summary
Methods, systems and apparatus for compensating vision loss for a patient. In some embodiments, a computer processor receives vision loss data associated with a vision loss region of an eye of a patient from a head mounted display (HMD) device worn by the patient, generates a parameterized perceptual loss model, and then generates inverse data to correct for color loss, contrast and luminance desaturation, and visual rotational and spatial distortion suffered by the eye of the patient. The computer processor then transmits the inverse data to the HMD device being worn by the patient for use in correcting the visual rotational and spatial distortion loss of the eye of the patient.