Abstract: Some embodiments include a method comprising receiving gaze data from an image sensor that indicates where a user is looking, determining a location that the user is directing their gaze on a display based on the gaze data, receiving a confirmation input from an input device, and generating and effectuating an input command based on the location on the display that the user is directing their gaze when the confirmation input is received. When a bystander is in a field-of-view of the image sensor, the method may further include limiting the input command to be generated and effectuated based solely on the location on the display that the user is directing their gaze and the confirmation input and actively excluding detected bystander gaze data from the generation of the input command.

Abstract: Eye fatigue from looking too long at a computer monitor can not only causes physical symptoms, it can also reduce productivity. Eye tracking is used to determine potential eye fatigue. After potential eye fatigue is determined, an eye fatigue mitigation action is triggered. Eye fatigue mitigation action can including providing a notification, blurring a screen, and blanking a screen. Eye tracking can also be used to verify that a user has taken an eye fatigue mitigation action, such as diverted looking from a screen for a sufficient amount of time. By implementing eye fatigue mitigation actions, symptoms can be reduced and/or productivity increased.

Abstract: Some embodiments include a computer-implemented method for tracking a gaze of a user that can include receiving image data that includes a plurality of eye landmarks that identify a perimeter of a user's eye, applying dynamic thresholding to the image data, determining a convex hull based on the dynamically thresholded and image data, computing and fitting an ellipse along a boundary of the convex hull, the ellipse corresponding to an iris of the user's eye, updating the image data with the computed ellipse, computing a refined ellipse by reapplying the dynamic thresholding and determining the convex hull using the updated image data, and determining a gaze direction of the user based in part on a position of the refined ellipse relative to the perimeter of the user's eye.

Abstract: Some embodiments include a computer-implemented method for tracking a gaze of a user that can include receiving image data that includes a plurality of eye landmarks that identify a perimeter of a user's eye, applying dynamic thresholding to the image data, determining a convex hull based on the dynamically thresholded and image data, computing and fitting an ellipse along a boundary of the convex hull, the ellipse corresponding to an iris of the user's eye, updating the image data with the computed ellipse, computing a refined ellipse by reapplying the dynamic thresholding and determining the convex hull using the updated image data, and determining a gaze direction of the user based in part on a position of the refined ellipse relative to the perimeter of the user's eye.

Abstract: Some embodiments include a method comprising receiving gaze data from an image sensor that indicates where a user is looking, determining a location that the user is directing their gaze on a display based on the gaze data, receiving a confirmation input from an input device, and generating and effectuating an input command based on the location on the display that the user is directing their gaze when the confirmation input is received. When a bystander is in a field-of-view of the image sensor, the method may further include limiting the input command to be generated and effectuated based solely on the location on the display that the user is directing their gaze and the confirmation input and actively excluding detected bystander gaze data from the generation of the input command.

Abstract: Eye fatigue from looking too long at a computer monitor can not only causes physical symptoms, it can also reduce productivity. Eye tracking is used to determine potential eye fatigue. After potential eye fatigue is determined, an eye fatigue mitigation action is triggered. Eye fatigue mitigation action can including providing a notification, blurring a screen, and blanking a screen. Eye tracking can also be used to verify that a user has taken an eye fatigue mitigation action, such as diverted looking from a screen for a sufficient amount of time. By implementing eye fatigue mitigation actions, symptoms can be reduced and/or productivity increased.

Abstract: Some embodiments include a method comprising receiving gaze data from an image sensor that indicates where a user is looking, determining a location that the user is directing their gaze on a display based on the gaze data, receiving a confirmation input from an input device, and generating and effectuating an input command based on the location on the display that the user is directing their gaze when the confirmation input is received. When a bystander is in a field-of-view of the image sensor, the method may further include limiting the input command to be generated and effectuated based solely on the location on the display that the user is directing their gaze and the confirmation input and actively excluding detected bystander gaze data from the generation of the input command.

Abstract: Eye fatigue from looking too long at a computer monitor can not only cause physical symptoms, it can also reduce productivity. Eye tracking is used to determine potential eye fatigue. After potential eye fatigue is determined, an eye fatigue mitigation action is triggered. Eye fatigue mitigation action can including providing a notification, blurring a screen, and blanking a screen. Eye tracking can also be used to verify that a user has taken an eye fatigue mitigation action, such as diverted looking from a screen for a sufficient amount of time. By implementing eye fatigue mitigation actions, symptoms can be reduced and/or productivity increased.