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US 12,762,894 B2Granted
Electronic device and method for measuring degree of eyelid closure strength
AssigneeHTC Corporation
InventorYu-Hsien Liao
Life of this patent
Estimating the term…
Abstract
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.
Claims16
An electronic device for measuring a degree of eyelid closure strength, comprising:
- a transceiver;
- and
- a processor, coupled to the transceiver, wherein the processor is configured to:
- obtain an image of an eye via the transceiver;
- detect at least one wrinkle in the image;
- determine a degree of eyelid closure strength according to an area of the at least one wrinkle;
- and
- output the degree of eyelid closure strength via the transceiver,
- wherein the processor is further configured to:
- perform an edge detection on the image to detect the at least one wrinkle;
- detect the image to obtain a region of interest;
- perform Gaussian blurring on the region of interest to obtain a blurred image;
- calculate a gradient of each pixel of the blurred image;
- perform non-maximum suppression on the gradient of each pixel to obtain at least one edge;
- and
- set the at least one edge as the at least one wrinkle.
13 more elements
A method for measuring a degree of eyelid closure strength, comprising:
- 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,
- wherein the step of performing the edge detection on the image to detect the at least one wrinkle comprising:
- performing an edge detection on the image to detect the at least one wrinkle;
- detecting the image to obtain a region of interest;
- performing Gaussian blurring on the region of interest to obtain a blurred image;
- calculating a gradient of each pixel of the blurred image;
- performing non-maximum suppression on the gradient of each pixel to obtain at least one edge;
- and
- setting the at least one edge as the at least one wrinkle.
10 more elements
Dependencies are inferred from the claim text.