Eye closure recognition system and method
First Claim
1. A system for determining closure state of an eye of a subject, said system comprising:
- a video imaging camera oriented to generate images of an eye of a subject; and
a video processor for processing the images generated with the video imaging camera, said video processor detecting an eye in the images and determining if the images of the eye are noisy, said video processor determining closure state of the eye based on a shape of the eye in the images if the images of the eye are not noisy, and based on changes in a size of the eye over time if the images of the eye are noisy to determine whether the eye is in an open or closed state.
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Accused Products
Abstract
A system and method are provided for determining eye closure state of the eye of a subject. The system includes a video imaging camera oriented to generate images of an eye of a subject and a video processor for processing the images generated with the video imaging camera. The video processor is configured to detect an eye in the video images and determine whether the images of the eye are noisy. The video processor processes geometrical and statistical shape of the eye in the images if the eye is not noisy, and processes changes in the size of the eye over time if the images are noisy. The processor further determines eye closure state based on a ratio of horizontal to vertical dimensions.
16 Citations
23 Claims
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1. A system for determining closure state of an eye of a subject, said system comprising:
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a video imaging camera oriented to generate images of an eye of a subject; and a video processor for processing the images generated with the video imaging camera, said video processor detecting an eye in the images and determining if the images of the eye are noisy, said video processor determining closure state of the eye based on a shape of the eye in the images if the images of the eye are not noisy, and based on changes in a size of the eye over time if the images of the eye are noisy to determine whether the eye is in an open or closed state. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. An eye monitoring system for monitoring an eye of a subject, said system comprising:
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a video imaging camera oriented to generate images of an eye of a subject; and a video processor for processing the images generated with the video imaging camera, said video processor detecting an eye in the images and determining changes in the size of the eye over time, wherein the video processor determines closure state of the eye based on the changes in the size of the eye over time, wherein said video processor determines a size of the eye over time and compares the size of the eye to a threshold size, wherein the eye is determined to be open when the size of the eye exceeds the threshold size, wherein the threshold size is computed based on an envelope defining the size difference between open and closed positions of the eye over time. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15)
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16. An eye monitoring system for monitoring an eye of a subject, said system comprising:
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a video imaging camera oriented to generate images of an eye of a subject; and a video processor for processing the images generated with the video imaging camera, said video processor detecting an eye in the images and determining geometrical shape of the eye in the images including horizontal and vertical dimensions and a ratio of the horizontal to vertical dimensions of the eye, wherein the video processor determines closure state of the eye based on the ratio of horizontal to vertical dimensions of the eye, wherein the video processor determines the eye is in an open state when the ratio of horizontal to vertical dimensions is less than a threshold ratio. - View Dependent Claims (17, 18, 19, 20, 21, 22)
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23. A method of determining eye closure state of an eye of the subject, said method comprising the steps of:
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arranging a video imaging camera to generate images of an eye of a subject; generating the images of the eye of the subject with the video imaging camera; processing the images to identify edges of the eye in the images; determining if the images of the eye are noisy; determining a geometrical shape of the eye if the images of the eye are not noisy; performing a temporal evaluation of the eye if the images of the eye is noisy; and determining closure state of the eye in the images as a function of the geometrical shape or the temporal evaluation of the eye.
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Specification