Methods and systems for determining an individual gaze value are disclosed herein. An exemplary method involves: (a) receiving gaze data for a first wearable computing device, wherein the gaze data is indicative of a wearer-view associated with the first wearable computing device, and wherein the first wearable computing device is associated with a first user-account; (b) analyzing the gaze data from the first wearable computing device to detect one or more occurrences of one or more advertisement spaces in the gaze data; (c) based at least in part on the one or more detected advertisement-space occurrences, determining an individual gaze value for the first user-account; and (d) sending a gaze-value indication, wherein the gaze-value indication indicates the individual gaze value for the first user-account.

The invention relates to a computing system and a computer-implemented method for classifying images of retina of eyes of subjects. A captured image of a retina is processed to obtain a plurality of different segmented images each having different selected portions of the captured image using different selection rules. The multiple segmented images are provided to respective dedicated machine learning models to output an image classification based on the respective segmented images provided as input. An ensemble classification is determined based on the multiple classifications obtained by means of the multiple trained machine learning models.

The invention relates to a computing system and a computer-implemented method for classifying images of retina of eyes of subjects. A captured image of a retina is processed to obtain a plurality of different segmented images each having different selected portions of the captured image using different selection rules. The multiple segmented images are provided to respective dedicated machine learning models to output an image classification based on the respective segmented images provided as input. An ensemble classification is determined based on the multiple classifications obtained by means of the multiple trained machine learning models.

This application provides a method and an apparatus for interaction processing of a virtual item, an electronic device, and a computer-readable storage medium. The method includes displaying at least one idle virtual item in a virtual scene; moving a first virtual object in the virtual scene in response to a movement operation on the first virtual object; displaying a pickable prompt of the idle virtual item when there is no obstacle between the idle virtual item and the first virtual object; and controlling the first virtual object to pick up the idle virtual item in response to a picking-up operation by the first virtual object.

The present disclosure relates to the field of 3D images, and discloses a display control method for a multi-viewpoint 3D display screen, comprising: acquiring identity features of a user; and performing 3D display for the user when the identity features meet conditions. The method can conduct authentication about 3D display for the user, thereby solving a problem of a single 3D display mode, and improving flexibility of 3D display mode. The present disclosure further discloses a multi-viewpoint 3D display device, a computer-readable storage medium, and a computer program product.

A video display device comprising; a display; an exercise amount detection sensor configured to detect an exercise amount of a viewer while the viewer is viewing content displayed and output sensor information; a timer that measures a viewing time; and a processor. The processor: acquires the viewing time from the timer; calculates the exercise amount of the viewer based on the sensor information acquired within a predetermined period of viewing time; compares the exercise amount with an exercise facilitation threshold for determining whether to facilitate exercise for the viewer; displays a specific object within a display area of the display when the exercise amount falls below the exercise facilitation threshold; and moves the specific object from an inside of the display area to an outside thereof in accordance with an external coordinate system expressing a position in a real space associated with a two-dimensional coordinate system in the display area.

A pupil detection device includes an eye area image obtaining unit that obtains image data representing an eye area image in a captured image obtained by a camera; a luminance gradient calculating unit that calculates luminance gradient vectors corresponding to respective individual image units in the eye area image, using the image data; an evaluation value calculating unit that calculates evaluation values corresponding to the respective individual image units, using the luminance gradient vectors; and a pupil location detecting unit that detects a pupil location in the eye area image, using the evaluation values.

A determination device includes an acquisition unit that acquires image data with a flash and an image data without a flash, the image data with a flash being captured in a state of using a flash, the image data without a flash being image data of an imaging object that is the same as the imaging object shown in the image data with a flash and being captured in a state of not using a flash, and a determination unit that determines whether or not the imaging object is a living body by comparing an eye area of the imaging object included in the image data with a flash with an eye area of the imaging object included in the image data without a flash.

A determination device includes an acquisition unit that acquires image data with a flash and an image data without a flash, the image data with a flash being captured in a state of using a flash, the image data without a flash being image data of an imaging object that is the same as the imaging object shown in the image data with a flash and being captured in a state of not using a flash, and a determination unit that determines whether or not the imaging object is a living body by comparing an eye area of the imaging object included in the image data with a flash with an eye area of the imaging object included in the image data without a flash.

An electronic apparatus includes: control means for performing control to record, in recording means, characteristic data on a line-of-sight; authentication means for authenticating a user; and detection means for detecting, in a case where characteristic data on a line-of-sight of the authenticated user is recorded in the recording means, a line-of-sight of the user by using the recorded characteristic data on the line-of-sight.