Systems and methods of light modulation in eye tracking devices
First Claim
1. A method comprising:
- capturing a first image using a camera of an eye tracking device;
detecting a face region of the first image, the face region depicting the face and eye features of a user;
based on at least a portion of the face region, measuring a parameter of the first image, wherein the parameter is a value representing a visual property of the first image;
based on the value of the parameter of the first image being outside of a target range of parameter values, adjusting an attribute associated with the eye tracking device to improve detection of the eye features for use by an eye tracking algorithm, wherein the attribute is a value representing a setting of the eye tracking device having an effect on images captured by the camera, and wherein adjusting the attribute comprises determining a value for the attribute that places the value of the parameter at a center of the target range;
after adjusting the attribute associated with the eye tracking device, capturing a second image using the camera of the eye tracking device; and
performing the eye tracking algorithm on the second image to determine, using the eye tracking device, a gaze direction of the user based on detected eye features in the second image.
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Accused Products
Abstract
An image of a user'"'"'s eyes and face may be analyzed using computer-vision algorithms. A computing device may use the image to determine the location of the user'"'"'s eyes and estimate the direction in which the user is looking. The eye tracking technology may be used in a wide range of lighting conditions and with many different and varying light levels. When a user is near a light source, an automatic exposure feature in the camera may result in the user'"'"'s face and eyes appearing too dark in the image, possibly reducing the likelihood of face and eye detection. Adjusting attributes such as the camera exposure time and the intensity and illumination interval of the light sources based on motion and light levels may improve detection of a user'"'"'s features.
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Citations
20 Claims
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1. A method comprising:
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capturing a first image using a camera of an eye tracking device; detecting a face region of the first image, the face region depicting the face and eye features of a user; based on at least a portion of the face region, measuring a parameter of the first image, wherein the parameter is a value representing a visual property of the first image; based on the value of the parameter of the first image being outside of a target range of parameter values, adjusting an attribute associated with the eye tracking device to improve detection of the eye features for use by an eye tracking algorithm, wherein the attribute is a value representing a setting of the eye tracking device having an effect on images captured by the camera, and wherein adjusting the attribute comprises determining a value for the attribute that places the value of the parameter at a center of the target range; after adjusting the attribute associated with the eye tracking device, capturing a second image using the camera of the eye tracking device; and performing the eye tracking algorithm on the second image to determine, using the eye tracking device, a gaze direction of the user based on detected eye features in the second image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 19, 20)
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10. A computing device comprising:
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a camera module configured to capture images; an attribute adjustment module configured to; receive a first image captured by the camera module; detect a face region of the first image, the face region depicting the face and eye features of a user, based on at least a portion of the face region, measure a parameter of the first image, wherein the parameter is a value representing a visual property of the first image, and based on the value of the parameter of the first image being outside of a target range of parameter values, adjust an attribute associated with the camera module to improve detection of the eye features for use by an eye tracking algorithm, wherein the attribute is a value representing a setting of the eye tracking device having an effect on images captured by the camera, and wherein adjusting the attribute comprises determining a value for the attribute that places the value of the parameter at a center of the target range; and an eye tracking module configured to; receive a second image captured by the camera module, the second image captured after adjusting the attribute associated with the camera module, and perform the eye tracking algorithm on the second image to determine a gaze direction of the user based on detected eye features in the second image. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
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18. A non-transitory machine-readable storage medium storing instructions which, when executed by one or more processors, cause the one or more processors to perform operations comprising:
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capturing a first image using a camera of an eye tracking device; detecting a face region of the first image, the face region depicting the face and eye features of a user; based on at least a portion of the face region, measuring a parameter of the first image, wherein the parameter is a value representing a visual property of the image; based on the value of the parameter of the first image being outside of a target range of parameter values, adjusting an attribute associated with the eye tracking device to improve detection of the eye features for use by an eye tracking algorithm, wherein the attribute is a value representing a setting of the eye tracking device having an effect on images captured by the camera, and wherein adjusting the attribute comprises determining a value for the attribute that places the value of the parameter at a center of the target range; after adjusting the attribute associated with the eye tracking device, capturing a second image using the camera of the eye tracking device; and performing the eye tracking algorithm on the second image to determine, using the eye tracking device, a gaze direction of the user based on detected eye features in the second image.
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Specification