Dynamic Image Orientation Adjustment for User Eye Tracking
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Solution Overview
Problem
Images played on electronic devices are not dynamically adjusted to align with the user's field of view, leading to suboptimal viewing experiences.
Innovation Solution
An electronic device with an image adjustment system that includes a camera, a displaying device, and processing modules to generate and adjust images based on the user's eye position, using face recognition technology to calculate and align the image orientation with the user's line of sight.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If images are displayed at a fixed displaying area, then the display system is simple and stable, but the viewing experience is suboptimal and not oriented to user eye position
Solution Approach 1:
The patent implements dynamic image orientation adjustment by continuously tracking user eye position and rotating the displayed image in real-time. The image rotation angle is dynamically updated based on the detected gaze direction, transforming the static display system into an adaptive one that responds to user movement and orientation changes.
Solution Approach 2:
The system automatically detects user eye position and adjusts image orientation without requiring manual input. The display system serves itself by using the camera to capture eye position, calculating the appropriate rotation angle, and applying the transformation autonomously, eliminating the need for user intervention.
2Measurement precision
If face recognition technology is used to detect eye position, then image orientation accuracy is improved, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary face recognition and eye position detection continuously in the background, maintaining a ready state that allows for rapid image orientation adjustment when needed. By pre-processing and continuously monitoring eye position, the system minimizes latency when actual adjustment is required.
Solution Approach 2:
The patent replaces complex mechanical eye-tracking systems with computational image processing methods. Using standard camera feeds and algorithms to detect eye position from video frames substitutes hardware-intensive mechanisms, reducing processing time while maintaining adequate precision for practical applications.
Data Source
AI summary
An electronic device and a method generate a first model and a second model when the images presented by the electronic device are viewed by a user located at a reference location. The electronic device obtains an image of the user captured by a camera of the electronic device when the user views the images presented by the electronic device. The electronic device generates a third model according to the image of the user. The electronic device adjusts the images presented by the electronic device when the third model does not match the first model.