Abstract: Methods and systems for intelligent notification management using gaze tracking are disclosed. The method comprises receiving a user's point of gaze (POG) from a gaze tracking device that monitors the user's eye movement and direction. It also obtains the spatial position of a notification displayed on an electronic device within a particular space. If the user's POG remains within a boundary defined by the spatial position of the notification for a predetermined period of time, a signal is sent to the electronic device indicating that the user has viewed the notification. The notification is then labeled as having been viewed. The various embodiments described herein enhance user-device interaction, ensure efficient delivery of notifications, and facilitate a streamlined user experience by ensuring that users do not miss important notifications and by enabling seamless interaction across devices.

Abstract: Methods and systems for intelligent notification management using gaze tracking are disclosed. The method comprises receiving a user's point of gaze (POG) from a gaze tracking device that monitors the user's eye movement and direction. It also obtains the spatial position of a notification displayed on an electronic device within a particular space. If the user's POG remains within a boundary defined by the spatial position of the notification for a predetermined period of time, a signal is sent to the electronic device indicating that the user has viewed the notification. The notification is then labeled as having been viewed. The various embodiments described herein enhance user-device interaction, ensure efficient delivery of notifications, and facilitate a streamlined user experience by ensuring that users do not miss important notifications and by enabling seamless interaction across devices.

Abstract: Devices, methods, and processor-readable media for eye tracking using statistically derived linear functions are described. Two simple linear functions may be identified, one for the horizontal and one for the vertical, with two parameters each, that fully correct for horizontal and vertical estimation bias error in a cross-ratio gaze estimation method. An implicit calibration step may be performed that finds the parameters of said linear functions statistically based on undirected user point of gaze measurements that indicate the extremities of the error between gaze vectors and glint vectors. Various hardware devices are described that may implement the novel eye tracking techniques.

Abstract: Methods and systems are described for estimating an optimal pupil binarization threshold using adaptive binarization thresholding. The disclosed methods and systems are designed to determine a pupil binarization threshold from a histogram of an eye image. An eye image is obtained and an eye image histogram is computed from the eye image. A pupil region and an iris region are identified in the eye image histogram and the second derivative of the eye image histogram is computed. The pupil binarization threshold is determined based on the second derivative of the eye image histogram, the identified pupil region and the identified iris region and then used to generate a binarized eye image. A pupil contour may be determined from the binarized eye image. The disclosed system may help to overcome challenges associated with robust and precise detection of a pupil contour, for example, in images of varying quality.

Abstract: Methods and systems are described for estimating an optimal pupil binarization threshold using adaptive binarization thresholding. The disclosed methods and systems are designed to determine a pupil binarization threshold from a histogram of an eye image. An eye image is obtained and an eye image histogram is computed from the eye image. A pupil region and an iris region are identified in the eye image histogram and the second derivative of the eye image histogram is computed. The pupil binarization threshold is determined based on the second derivative of the eye image histogram, the identified pupil region and the identified iris region and then used to generate a binarized eye image. A pupil contour may be determined from the binarized eye image. The disclosed system may help to overcome challenges associated with robust and precise detection of a pupil contour, for example, in images of varying quality.

Abstract: Devices, methods, and processor-readable media for eye tracking using statistically derived linear functions are described. Two simple linear functions may be identified, one for the horizontal and one for the vertical, with two parameters each, that fully correct for horizontal and vertical estimation bias error in a cross-ratio gaze estimation method. An implicit calibration step may be performed that finds the parameters of said linear functions statistically based on undirected user point of gaze measurements that indicate the extremities of the error between gaze vectors and glint vectors. Various hardware devices are described that may implement the novel eye tracking techniques.