Eye Tracking Notification for Line-of-Sight Detection Accuracy
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Solution Overview
Problem
Conventional line-of-sight detection systems face challenges in accuracy due to user unfamiliarity with adjustment methods, leading to reduced detection precision, especially when dealing with unnecessary light reflections from eyeglasses, resulting in incorrect positioning of the eye outside the detection area.
Innovation Solution
An electronic device equipped with a processor and memory that captures an eye image, performs line-of-sight detection, and provides notifications based on pupil and corneal reflection images to guide adjustments in the viewing state, ensuring accurate alignment and minimizing light reflections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional line-of-sight detection systems are used, then the system can detect line of sight, but the detection accuracy is reduced when users are unfamiliar with adjustment methods or when unnecessary light reflections occur
Solution Approach 1:
The system displays the captured eye image to the user and provides feedback notifications about detection status and adjustment suggestions. This allows users to see their eye position in real-time and understand what adjustments are needed, transforming an opaque detection process into a guided interaction that improves both ease of operation and detection accuracy
Solution Approach 2:
The system enables users to perform their own eye position adjustments by displaying visual feedback of their eye image and providing adjustment notifications. Users can independently correct their positioning based on the system's guidance without requiring external assistance, making the system easier to operate while maintaining high detection accuracy
2Adaptability or versatility
If the eye position is not properly adjusted, then the system can still capture images, but the eye may be positioned outside the line-of-sight detection area
Solution Approach 1:
The system performs preliminary eye position verification by analyzing the captured eye image before proceeding with line-of-sight detection. It checks whether the eye is properly positioned within the detection area and provides adjustment notifications beforehand, preventing detection errors rather than correcting them afterward
Solution Approach 2:
The system provides real-time feedback about eye position relative to the detection area by displaying the eye image and issuing notifications when the eye is outside the proper detection zone. This continuous feedback loop ensures the eye remains within the detection area, maintaining both adaptability and precision
3Object-affected harmful factors
If unnecessary light reflections from eyeglasses are present, then the system can still attempt detection, but the line-of-sight detection accuracy is reduced
Solution Approach 1:
The system analyzes the captured eye image for signs of light reflection interference and provides feedback notifications to the user. By displaying the actual eye image and indicating the presence of reflections, the system enables users to adjust their eyeglasses or head position to eliminate interference, thereby maintaining high detection accuracy despite the presence of potentially harmful light reflections
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enables users to easily adjust their position and eyeglasses orientation, thereby enhancing line-of-sight detection accuracy by providing clear instructions through visual notifications, ensuring the eye remains within the detection area and minimizing light reflections.
Implementation Method 1
obtain an eye image in which an eye that looks at a display is captured
Data Source
AI summary
An electronic device is configured to obtain an eye image in which an eye that looks at a display is captured. The electronic device includes at least one memory storing instructions; and at least one processor which executes the stored instructions causing the at least one processor to: perform line-of-sight detection, based on the obtained eye image; and provide, based on at least one of a position of a pupil image in the eye image and a number of corneal reflection images in the eye image, a predetermined notification regarding a method of adjusting a viewing state in which the display is visually perceived.