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.

Abstract: Methods and systems to facilitate eye tracking data analysis are provided. Point of regard information from a first client device of a first user is received, where the point of regard information is determined by the first client device by detecting one or more eye features associated with an eye of the first user. The point of regard information is stored. A request to access the point of regard information is received, and the point of regard information is sent in response to the request, where the point of regard information is used in a subsequent operation.

Abstract: Methods and systems to facilitate eye tracking control calibration are provided. One or more objects are displayed on a display of a device, where the one or more objects are associated with a function unrelated to a calculation of one or more calibration parameters. The one or more calibration parameters relate to a calibration of a calculation of gaze information of a user of the device, where the gaze information indicates where the user is looking. While the one or more objects are displayed, eye movement information associated with the user is determined, which indicates eye movement of one or more eye features associated with at least one eye of the user. The eye movement information is associated with a first object location of the one or more objects. The one or more calibration parameters are calculated based on the first object location being associated with the eye movement information.

Abstract: Methods and systems to facilitate eye tracking control are provided. A user input is received at a computing device. Point of regard information associated with a user of the computing device is determined while the user input is being received. The point of regard information indicates a location on a display of the computing device at which the user is looking. An operation associated with a display object identified based on the point of regard information is performed when receipt of the user input is determined to have terminated.

Abstract: Methods and systems to facilitate eye tracking control on mobile devices are provided. An image of a portion of a user is received at an eye tracking device, where the image includes reflections caused by light emitted on the user from one or more light sources located within the eye tracking device. One or more eye features associated with an eye of the user is detected using the reflections. Point of regard information is determined using the one or more eye features, where the point of regard information indicates a location on a display of a computing device coupled to the eye tracking device at which the user was looking when the image of the portion of the user was taken. The point of regard information is sent to an application capable of performing a subsequent operation using the point of regard information.