Eyelid Closure Strength Measurement Using Eye Wrinkle Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current eye-tracking technologies in XR devices face challenges in accurately determining the degree of eyelid closure due to limited field of view and reliance on eyebrow shape detection, which can be ineffective for below-screen type devices.
Innovation Solution
An electronic device and method that utilize a processor to obtain an eye image, detect wrinkles, and determine eyelid closure strength based on wrinkle area, employing a machine learning model for accurate measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If eyebrow shape detection is used to determine eyelid closure, then the method is simple to implement, but the measurement precision deteriorates when field of view is limited
Solution Approach 1:
The patent extracts the wrinkle detection task from the broader eyebrow shape analysis. By focusing specifically on detecting wrinkles in the eyelid area rather than analyzing overall eyebrow shape, the system achieves accurate eyelid closure measurement even with limited field of view, as wrinkles provide direct visual evidence of closure strength independent of eyebrow position
Solution Approach 2:
The patent introduces wrinkle detection as an intermediary indicator between the physical state of eyelid closure and the visual data available to the system. Wrinkles serve as a mediator that directly reflects closure strength without requiring direct observation of the eyelid itself or the entire eyebrow structure, enabling accurate measurement with constrained field of view
2Adaptability or versatility
If below-screen type eye-tracking device is used, then the device can be integrated into XR equipment, but the field of view becomes too small to capture eyebrow images
Solution Approach 1:
The patent extracts the essential detection target from the eyebrow region and focuses specifically on wrinkle patterns in the eyelid area. This extraction allows the system to achieve accurate eyelid closure measurement using only the limited field of view available in below-screen devices, without requiring the expanded field of view that would be needed to capture complete eyebrow images
Solution Approach 2:
The patent applies local quality analysis by focusing detection attention on the specific local region where wrinkles appear during eyelid closure. Rather than requiring uniform coverage of the entire eyebrow area, the system concentrates on the localized wrinkle patterns that provide diagnostic information about closure strength, making the limited field of view sufficient for accurate measurement
Data Source
AI summary
An electronic device and a method for measuring a degree of eyelid closure strength are provided. The method includes: obtaining an image of an eye; detecting at least one wrinkle in the image; determining a degree of eyelid closure strength according to an area of the at least one wrinkle; and outputting the degree of the eyelid closure strength.