Wearable Eye-Tracking Display With Brightness-Adaptive Gaze Input

The patent implements dynamic adjustment of the gaze recognition area size based on real-time brightness level detection. The processor adjusts the area size dynamically - enlarging it when brightness is low to capture more gaze data points, and reducing it when brightness is high to maintain precision. This dynamic adaptation resolves the contradiction by making the recognition area flexible rather than fixed, improving accuracy across varying brightness conditions without requiring multiple hardware components.

The patent changes the parameter of gaze recognition area size based on the brightness level parameter. When the brightness level changes, the system automatically adjusts the area size parameter to optimize gaze recognition. This parameter-based adaptation allows the system to maintain high measurement precision across different lighting conditions while using a single adjustable mechanism rather than complex multi-component systems.

The system dynamically adjusts the gaze recognition area size based on brightness conditions. In low brightness environments, the area is enlarged to capture sufficient gaze data quantity for reliable recognition. In high brightness environments, the area is reduced to maintain precise gaze point identification. This dynamic sizing strategy resolves the contradiction by adapting the area size to environmental conditions, ensuring both adequate data quantity and sufficient precision are achieved appropriately.

The patent utilizes parameter changes by adjusting the gaze recognition area size according to brightness level parameters. The system monitors brightness and automatically modifies the area size parameter to optimize the balance between data quantity and precision. This parameter-based control enables the system to achieve the desired gaze data quantity while maintaining identification precision through adaptive parameter adjustment rather than fixed settings.

The patent applies local quality by differentiating the gaze recognition characteristics across different screen regions based on brightness levels. Instead of applying a uniform recognition threshold across the entire screen, the system adjusts the recognition parameters locally - using more lenient criteria in darker regions to maintain versatility while preventing false recognition, and stricter criteria in brighter regions. This local adaptation resolves the contradiction by allowing versatile interaction across all screen areas while maintaining reliability through region-specific optimization.

The system changes recognition parameters dynamically based on the brightness characteristics of different screen regions. When the display brightness is low in certain areas, the system adjusts the gaze recognition parameters for those regions to prevent false positive detections while still allowing valid interactions. This parameter adaptation enables the system to maintain high user interaction versatility across the entire screen while preserving gaze recognition reliability by adjusting parameters according to local brightness conditions.