US2019012841A1PendingUtilityA1

Artificial intelligence enhanced system for adaptive control driven ar/vr visual aids

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Assignee: EYEDAPTIC INCPriority: Jul 9, 2017Filed: Jul 9, 2018Published: Jan 10, 2019
Est. expiryJul 9, 2037(~11 yrs left)· nominal 20-yr term from priority
G06F 3/012G06T 19/006G06F 9/453G06F 3/167G06F 3/013G06N 3/006G06N 5/04G06N 20/00
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Claims

Abstract

Interactive systems using adaptive control software and hardware from known and later developed eye-pieces to later developed head-wear to lenses, including implantable, temporarily insert-able 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.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . An adaptive control driven system for visual enhancement and correction useful for addressing ocular disease states, which further comprises, in combination;
 Adaptive peripheral vision training;   Eccentric viewing Training;   Pupil tracking with customizable offset for eccentric viewing;   Gamification—follow fixation targets around screen for training;   Targeting lines overlaid on reality for fixation;   Guided fixation across page or landscape w/head tracking;   Guided fixation with words moving across screen at fixed rates;   Guided fixation with words moving at variable rates triggered by user;   Guided Training & controlling eye movements with tracking lines;   Look ahead preview to piece together words for increased reading speed;   Distortion training to improve fixation.   
     
     
         2 . In a system for using AR/VR to address visual issues in users, improvements which comprise the following improvements in HYBRID WARPING & LAYERING:
 Layered processing—
 All processing Implemented as a serial pipeline of independent processing stages, directly connected only by one-way data flow; 
 General model both for transforming data and adding to it (e.g. rendering independent Information into the image); 
 Internally, a pipeline stage can be arbitrarily complex (e.g. effectively combine multiple stages into one monolithic stage for performance reasons); 
 Can reconfigure pipeline connections on-the-fly to enable or disable features; 
 
 Tiered Radial Warp—
 Divide output display into central, inner, transition, and outer regions with different radial mapping characteristics in each region; 
 Only three primary parameters adjust;
 Easy to understand and manipulate; 
 Capable of accommodating varied situations/tasks with different FOV requirements; 
 
 Two auxiliary parameters customized per user but infrequently changed; 
 Simple and efficient processing; 
 Reference lines: highly visible, guide to optimal location, show distortion contours even as warping changes, speed up scanning to start of lines in spite of distortion; 
 Guide the eye to optimal location for reading or high-acuity task; 
 Show distortion contours as they bend away into peripheral vision; 
 Speed up scanning to start of next line in spite of distortion; 
 Dual reference lines—bracket text to show further distortion details; 
 
 Fiducial
 Change traditional crosshairs to oriented-T (typically inverted-T) to provide intersection point for fixation without drawing over reading/high-acuity areas; 
 Different color from reference line to avoid confusion and distraction; 
 
 Control
 Numerous interfaces provided for parameter adjustment; 
 Freely change any parameter at any time; 
 Save or restore entire “hotkey” configurations: 
 Automatic mode to adjust warp parameters and/or select configuration based on camera view (not described in detail here); and 
 
 Smooth and continuous transit. 
 
     
     
         3 . An adaptive control driven system for visual enhancement and correction useful for addressing ocular disease states, which comprises, in combination;
 Software using at least one feature programmed to simulate improved functional vision for a user from a matrix selected from the group consisting of   Hybrid magnification & warping;   FOV dependent on head tracking;   Word shifting with “target lines”;   Central radial warping;   Interactive on the fly FOV mapping;   Dynamic Zoon;   OCR & Font change adaptation;   Distortion Grid adjustment;   Scotoma interactive adjustment; and,   Adaptive peripheral vision training.   
     
     
         4 . An adaptive control driven system for visual enhancement and correction useful for addressing ocular disease states, comprising hardware which further comprises, at least the following features and their functional equivalents:
 At least a machine or manufacture of matter in the state of the art effective for managing;   One button wireless update;   Stabilization & targeting training;   Targeting lines & crosshairs for eye fixation & tracking;   Interactive voice recognition and control;   Reading & text recognition mode;   Voice memo; and   Mode shift transitions.   
     
     
         5 . An adaptive control driven system for visual enhancement and correction useful for addressing ocular disease states, which comprises in combination:
 At least a set of hardware capable of implementing user-driven adjustments, driven by any subject software described herein to effectively manage;   Hybrid magnification & warping;   FOV dependent on head tracking;   Word shifting with “target lines”;   Central radial warping;   Interactive on the fly FOV mapping;   Dynamic Zoom;   OCR & Font change adaptation;   Distortion Grid adjustment;   Scotoma interactive adjustment;   Adaptive peripheral vision training;   In combination in whole or in part with:
 One button wireless update; 
 Stabilization & targeting training; 
 Training lines & crosshairs for eye fixation & tracking; 
 Interactive voice recognition mode; 
 Voice memo; and 
 Mode shift transitions. 
   
     
     
         6 . The System of  claim 1 , further comprising data collected and arrayed by AI. 
     
     
         7 . The System of  claim 2 , further comprising data collected and arrayed by AI. 
     
     
         8 . The System of  claim 3 , further comprising data collected and arrayed by AI. 
     
     
         9 . The System of  claim 4 , further comprising data collected and arrayed by AI. 
     
     
         10 . The System of  claim 5 , further comprising data collected and arrayed by AI. 
     
     
         11 . An AI enhanced system, further comprising at least an AI Data  101 , residing both in its own database and in an AI cloud  109 , along with AI Compiler  111 , and AI filter  107  and with any other required AI architecture  103  and AI Intervenor  105 . 
     
     
         12 . The system of  claim 11 , wherein user data is supplemented by key medical information arrayed within an AI architecture, further comprising both resident and transient data sets operatively linked thereto. 
     
     
         13 . The system of  claim 12 , wherein said resident and transient data sets are in communication with at least the AI cloud, and the AI Intervenor analyzes and makes available select data, through and in connection with AI filter(s) to provide models which better support user's needs. 
     
     
         14 . The system of  claim 13 , whereby AI Data is linked to and operatively connected with AI Architecture and any required interfaces with Adaptive Control visual system(s). 
     
     
         15 . The system of  claim 14 , whereby user data is protected and subject to AI Filter before becoming part of larger data super-sets. 
     
     
         16 . The system of  claim 15 , wherein settings control which portions of user data are arrayed in specific cloud locations, the AI Compiler, and other aspects of said AI Architecture. 
     
     
         17 . The system of  claim 16 , whereby key ophthalmic, optical and other medical data are sequestered. 
     
     
         18 . The system of  claim 17 , whereby said sequestration is concomitantly managed with other hypothecation of select aspects of the AI Data.

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