Eye Gaze Detection Using Multiple Position Data for Correction
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Solution Overview
Problem
Existing eye gaze detection systems face challenges in accurately calculating correction values due to individual differences, as many detected eye gaze positions do not correspond to the intended point of gaze, leading to inaccuracies in aligning eye gaze vectors with screen features.
Innovation Solution
An eye gaze detecting device that includes a processor and memory to identify eye gaze positions and calculate correction values based on position information, using multiple eye gaze positions to align with a specific object, thereby enhancing accuracy without the need for additional calibration references.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If correction values are calculated based on individual eye gaze positions, then measurement precision is improved, but device complexity increases due to need for multiple calibration references
Solution Approach 1:
The system uses the user's own natural eye gaze positions when viewing the display screen to automatically calculate correction values. The eye gaze detection device detects multiple eye gaze positions without requiring external calibration references, and the correction value calculation unit computes correction values based on these self-provided data points, eliminating the need for separate calibration tools or references.
Solution Approach 2:
The system performs preliminary detection of multiple eye gaze positions during normal display viewing before final correction value calculation. By accumulating eye gaze position data during typical usage scenarios, the system prepares the necessary information in advance for accurate correction value computation, improving both precision and user experience.
2Measurement precision
If multiple eye gaze positions are used for correction value calculation, then measurement precision is improved, but loss of time increases due to data processing requirements
Solution Approach 1:
The system uses more eye gaze position data points than the minimum single position for correction value calculation. By incorporating multiple eye gaze positions collected during normal display viewing, the system achieves higher measurement precision through increased data sampling, accepting the trade-off of additional processing time as a worthwhile enhancement to accuracy.
Data Source
AI summary
An eye gaze detecting device includes: a memory configured to store position information regarding a specific position where a specific object is located; and a processor coupled to the memory and configured to: identify an eye gaze position regarding the subject in an image for each of a plurality of images including the image, and calculate a correction value based on the position information and a plurality of eye gaze positions including the eye gaze position, the correction value causing the plurality of eye gaze positions to match the specific position.