Eye Tracking Cursor Translation Between Displays
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Solution Overview
Problem
Users face challenges in adjusting to differing display configurations when using multiple displays, leading to delays in moving the cursor between screens, which can be frustrating and affect the user experience.
Innovation Solution
The implementation of eye tracking technology to detect a user's gaze direction, allowing for the accurate determination of when attention has shifted between displays, enabling the cursor to be moved correspondingly without manual input, using sensors to track radial and tangential gaze directions and machine learning models to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual cursor movement is used between multiple displays, then the system is simple to operate, but the user experience is degraded due to delays and frustration when adjusting to differing display configurations
Solution Approach 1:
The patent replaces manual mechanical cursor control with eye-tracking technology. Sensors detect the user's gaze direction and automatically translate the cursor between displays based on where the user is looking, eliminating the need for manual pointing device operation and reducing the time delay in cursor movement.
Solution Approach 2:
The system serves itself by automatically detecting user attention through eye tracking and autonomously moving the cursor to the appropriate display without requiring manual input. The system monitors gaze patterns and independently determines when and where to translate the cursor based on detected attention shifts.
2Productivity
If eye tracking technology is implemented to detect gaze direction, then cursor movement becomes more responsive and intuitive, but the device complexity increases
Solution Approach 1:
The eye-tracking system serves multiple functions: it detects user attention, determines gaze direction, triggers cursor translation, and adapts to different display configurations. This multi-functionality justifies the added complexity by providing comprehensive control and adaptation capabilities in a single integrated system.
Solution Approach 2:
The patent introduces eye-tracking sensors and processing systems as intermediaries between the user and the cursor control system. These intermediaries capture gaze data, process it through algorithms, and translate it into cursor movement commands, bridging the gap between user intent and system response while managing the complexity through modular architecture.
3Ease of operation
If the cursor is translated automatically based on gaze detection, then the user experience is improved, but the measurement precision requirements increase
Solution Approach 1:
The system continuously monitors eye position and gaze direction, providing real-time feedback to adjust cursor translation. By tracking gaze patterns over time and comparing detected positions against display boundaries, the system refines its measurements and improves precision through iterative correction and adaptive algorithms.
Solution Approach 2:
The patent performs preliminary calibration and setup operations to establish baseline eye position data and display configuration parameters before actual cursor translation begins. This preliminary action includes mapping eye coordinates to display coordinates and pre-configuring translation thresholds, thereby improving measurement precision before operational use.
Data Source
AI summary
The present disclosure relates to eye tracking technology to detect when a user's attention has shifted to a different screen. Once this is detected, the mouse pointer can be positioned on that screen. For example, one approach can include a first display and a second display. Sensor data, indicative of a radial gaze direction of a user, can be received. Display of a cursor can be manipulated, such as between the first display and the second display, based on the sensor data.