Adaptive Visual Focus Headgear With Multi-Camera Gaze Tracking
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Solution Overview
Problem
Conventional visual processing systems struggle to accurately capture and process visual information reflecting a user's true focus and intent due to limitations in eye-tracking precision, dynamic environmental changes, and user variability.
Innovation Solution
The system integrates multiple eye-tracking sensors positioned equidistantly around each eye's central rotation point, combined with wide-angle scene cameras, to precisely track eye movements and correlate them with the external visual field, enabling real-time determination of the user's focus area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single camera or sensor is used to track eye movements and capture the external field of view, then the device complexity is reduced, but the measurement precision and field of view coverage are insufficient
Solution Approach 1:
The system divides the eye tracking function into multiple sensors positioned at different locations (e.g., temporal and nasal sides of each eye) to capture eye movements from multiple angles. This segmentation allows for more precise tracking of eye rotations and pupil movements while maintaining a manageable device structure through modular sensor placement.
Solution Approach 2:
The patent transitions from single-point eye tracking to multi-point spatial distribution of sensors. By placing sensors at multiple positions around the eye (different spatial dimensions), the system captures comprehensive eye movement data including saccades, smooth pursuit, and pupil dilation across the full range of ocular motion, significantly improving measurement precision.
2Device complexity
If a single camera is used to capture the external field of view, then the device complexity is reduced, but the field of view coverage and temporal resolution are insufficient for rapid visual attention shifts
Solution Approach 1:
The system segments the scene capture function into multiple cameras positioned to cover different portions of the visual field. This allows simultaneous capture of wide field of view and high temporal resolution data, as each camera can be optimized for specific angular ranges while collectively providing comprehensive coverage.
Solution Approach 2:
The patent implements dynamic scene capture where multiple cameras operate simultaneously at high frame rates to track rapid eye movements and saccades. The system dynamically adjusts which camera data is prioritized based on detected eye movement patterns, ensuring high temporal resolution is maintained during rapid visual attention shifts.
3Ease of manufacture
If conventional glasses-style devices are used for eye tracking, then the ease of manufacture is improved, but the ergonomics and user comfort deteriorate due to obstructed vision
Solution Approach 1:
The system integrates eye tracking sensors and scene cameras into a compact head-mounted form factor where components are nested within the frame structure. Sensors are positioned in recesses or integrated into temple pieces, allowing the device to be worn comfortably without protruding elements that would obstruct vision or cause discomfort during extended wear.
4Ease of manufacture
If traditional eye tracking sensor placement is used, then the ease of manufacture is improved, but the adaptability to individual differences in eye physiology and behavior deteriorates
Solution Approach 1:
The system implements dynamic calibration and adaptive algorithms that adjust to individual users' eye physiology and movement patterns. Sensors are positioned to capture a wide range of ocular motions, and the processing system adapts to each user's specific characteristics through calibration procedures and machine learning, enabling accurate tracking across diverse populations including those with atypical eye movements or corrective lenses.
Data Source
AI summary
A visual processing system may include a first camera system with infrared cameras to capture images of a user's eyes and a second camera system with wide-angle cameras to capture a panoramic field of view. A processor may analyze the eye images to determine a three-dimensional gaze vector, correlate the gaze vector with the panoramic field of view to identify a focus area, and dynamically update the focus area based on changes in the gaze vector. A display device may present augmented visual information within the identified focus area. The first camera system may comprise multiple infrared cameras per eye. The second camera system may provide overlapping fields of view exceeding 180 degrees horizontally and vertically. The system may include additional sensors to detect head movement and generate depth information.