Gaze-Driven Control

The patent describes an AI-driven system that generates real-time, context-aware insights by tracking a user's gaze on digital displays or physical objects. It captures "hybrid context," which includes visual data, temporal factors (like time of day or calendar status), and relational paths between multiple objects. Using Multimodal AI (LLMs and VLMs), the system interprets the user's focus and provides semantic overlays, such as definitions, price comparisons, or technical schematics, tailored to the user's immediate environment. 

Current gaze technology suffers from a "speed mismatch" where human visual processing is milliseconds fast, but physical inputs like mouse clicks are slow. Existing systems often fail due to the "Midas Touch" problem—accidentally triggering commands just by looking around naturally—and a lack of precision on standard webcams. Additionally, current wearable devices act as passive notification screens that don't understand what the user is actually looking at in the real world. 

The system uses a gaze-tracking subsystem and a context determination engine to pair a "target object" with the "entire state" of the display or scene. It introduces a "Fixed Reticle Mode" for wearables to eliminate eye-jitter by allowing users to align their head orientation with a target. A dual-stream processing model captures high-resolution "Region of Interest" crops for detail and a "Global Context" frame for broader awareness, ensuring the AI understands both the object (e.g., a specific button) and its environment (e.g., an email app). 

1. "Shop the Look" Interactive Media

Users can gaze at clothing or items in a video to instantly receive purchase links.

2. Industrial Maintenance and Repair

Technicians receive real-time AR overlays of schematics or safety warnings when looking at machine parts.

3. Hands-Free Medical Diagnostics

Surgeons can view 3D anatomical overlays or enlarged vitals simply by shifting their gaze during procedures.

4. Smart Tourism and Education

Tourists receive historical context for monuments, while students get instant definitions for complex terms in digital text.

5. Automated Productivity Analysis

Professionals can look at two files or stock charts to trigger instant side-by-side metadata or performance comparisons.

This patent describes a "Relative Object Proximity" system designed to enable precise, hands-free interaction with digital and physical objects through broad visual intent. By generating a virtual cursor (often represented as a "Green Circle") that automatically snaps to the closest interactive element within a user's field of regard, the system compensates for the inherent jitter and inaccuracy of eye-tracking. It interprets the spatial relationship between the user's gaze and surrounding "computational containers," allowing for seamless selection and control without requiring pixel-perfect ocular focus. 

A major barrier to effective augmented reality is the "Input Gap" caused by the biological instability of the human eye and the hardware limitations of mobile eye trackers. Traditional gaze-based interfaces suffer from "saccadic jitter," where the eye’s natural, involuntary micro-movements make it difficult to select small buttons or specific objects reliably. This often forces users to perform exaggerated or unnatural head movements to "point" at objects, leading to physical fatigue and a frustrating "Midas Touch" experience where unintended elements are activated simply by looking around. 

The system introduces "Relative Proximity Logic," which creates a dynamic selection buffer around digital or physical targets. Instead of requiring the user's pupil to align perfectly with a target, the system calculates the distance between the gaze coordinate and the nearest "active" object. When the user's focus falls within a specific threshold, the virtual cursor—the "Green Circle"—snaps to that object, visually confirming the selection. This "Selection Snapping" mechanism effectively masks tracking errors and allows the Neural Processing Unit (NPU) to prioritize data from the intended object while ignoring surrounding visual noise. 

1. Hands-Free Industrial Control

Technicians can select and toggle virtual switches on complex machinery without needing a physical mouse or high-precision eye-tracking hardware.

2. Assistive Communication Devices

Individuals with motor impairments can navigate digital interfaces with higher speed and lower fatigue by utilizing "snapping" to select icons and text.

3. Immersive AR Gaming

Players can interact with fast-moving in-game assets more naturally, as the system compensates for eye-tracking lag and jitter during intense gameplay.

4. High-Precision Medical Overlays

Surgeons can "snap" their focus to specific anatomical labels or vitals on a transparent display while keeping their hands entirely sterile and occupied.

5. Context-Aware Retail Displays

Shoppers can look at a shelf and have information "snap" to the closest product, facilitating rapid price and feature comparisons in a crowded environment.

The patent describes a system for the controller-less, gaze-based navigation of remote platforms like drones or robots in 3D space with six degrees of freedom (6DoF). A wearable display tracks a user's gaze to generate a "gaze vector" representing their navigation intent, allowing the platform to move and orient itself without physical joysticks. The system incorporates augmented reality (AR) visualizations, biometric-based control adaptation, and multi-user or swarm coordination to enhance safety and situational awareness. 

Traditional teleoperation relies on physical controllers that require high manual dexterity, leading to cognitive fatigue and a "translation burden" where users must mentally map joystick movements to spatial motion. Most existing systems separate visual perception from control input, which diminishes immersion and spatial judgment. Furthermore, previous gaze-based attempts often suffered from low precision, involuntary eye movements, and the "Midas Touch" problem—where unintended glances are mistaken for commands. 

The system converts visual intent into continuous 6DoF motion, enabling gaze-driven, goal-based navigation. It includes Predictive Visual Intent Echoes to preview target pose in AR, Biometric Elastic Tethering to adapt responsiveness based on eye biometrics, Look-Through Navigation to guide movement into occluded areas using mapped data, and Neuro-Adaptive Gating to pause motion during saccadic suppression for safety. 

1. Sterile Medical & Surgical Robotics

Allows surgeons to navigate robotic manipulators or cameras in an operating room without breaking sterility or using their hands.

2. Industrial & Hazardous Inspection

Technicians can use "centric-orbit mode" to perform hands-free, 360-degree visual inspections of infrastructure or equipment.

3. Search-and-Rescue Swarm Operations

Enables a single operator to command a swarm of drones through complex environments using authority-based privacy silos.

4. Advanced Accessibility Telepresence

Provides independent digital and physical mobility for individuals with motor impairments who cannot use standard physical controllers.

5. Remote Training & Mentorship

A mentor can project their visual intent as a guidance artifact into a trainee's display, facilitating a seamless "handover" of control.

The system uses a head-mounted device with eye-tracking to identify target objects within a user's field of view based on a gaze intersection region. Upon a selection condition, the system captures visual data of the target, analyzes it to generate contextual information, and renders it as an AR overlay. It supports predictive targeting, 3D reconstruction, and privacy-aware filtering to enable low-friction interaction with real-world content. 

Current AR and wearable systems suffer from significant "interaction friction" when users try to capture or get information about objects, especially those at a distance. Existing methods require slow, manual actions like reaching for a handheld device, performing mid-air gestures, or navigating complex menus, which creates a delay between a user's visual attention and the system's response. 

The invention provides a gaze-driven interface that allows for near-instant identification and augmentation of real-world objects without manual intervention. By utilizing gaze-based input for both selection and capture, the system minimizes the physical and cognitive effort required to interact with the environment. It also incorporates "predictive targeting" and "spatial memory" to improve the accuracy and speed of content acquisition. 

1. Gaze-Triggered Commerce

Instantly identifying a product via gaze and initiating a "buy" or "reserve" transaction through integrated digital wallets.

2. Bio-Adaptive Visual Aid

Automatically activating telephoto zoom or digital enhancements when the system senses the user is squinting at a distant object.

3. Remote Expert Collaboration

Sharing real-time "examination paths" and gaze targets with remote users for synchronized inspection or training.

4. Spatiotemporal Overlays

Anchoring captured data to spatial coordinates to allow users to visualize the historical state of a location or object.

5. Privacy-Aware Capture

Utilizing a filtering module to automatically detect and blur sensitive content, such as faces or private documents, before they are stored.

A gaze-driven wearable computing system that enables users to identify, capture, analyze, and share real-world objects using natural visual attention as the primary input. The system integrates eye-tracking, computer vision, AI-based insight generation, spatial reconstruction, predictive intent detection, and adaptive capture into a unified pipeline, reducing interaction friction between perception and digital response.

Existing AR and wearable systems require manual gestures, voice commands, or device interaction to capture or analyze objects, creating delay, cognitive load, and social friction. They lack an integrated framework that seamlessly links gaze targeting, object locking, visual enhancement, contextual insight generation, spatial modeling, and content sharing within a single low-latency workflow.

The invention introduces a gaze-aligned targeting and locking mechanism that detects user intent through fixation, predictive modeling, and physiological signals. Upon selection, the system captures enhanced visual data, generates contextual insights, reconstructs 3D spatial representations, applies privacy-aware filtering, and packages shareable digital assets—all within a continuous AR interaction pipeline. Advanced modules such as predictive intent detection, confidence-adaptive interfaces, bio-adaptive focus, collaborative gaze sharing, and persistent spatial memory further improve responsiveness and usability.

1. AR Smart Glasses & Wearable Platforms

Powers next-generation augmented reality devices with frictionless object targeting, contextual overlays, enhanced capture, and spatial content creation.

2. Remote Assistance & Field Service

Enables technicians or experts to share gaze targets in real time, capture annotated visuals, and guide collaborative inspections or repairs.

3. Social & Spatial Content Creation

Transforms real-world observations into enhanced images, annotated videos, and interactive 3D assets for sharing across social and collaborative platforms.

4. Commerce & Gaze-Triggered Transactions

Allows users to purchase, reserve, or interact with commercial objects directly through gaze-based confirmation and secure transaction modules.

5. Enterprise Knowledge & Spatial Memory Systems

Creates persistent, location-anchored knowledge layers that store captured objects, contextual insights, and historical overlays for industrial, educational, and architectural use.