Method for taking a test using a smartphone including placing the smartphone into connection with a device, placing the device on a head of a person with the smartphone in a position in which a display of the smartphone is visible to the person, coupling the smartphone to the device and displaying test questions on the display. Cheating is detected by, for example, monitoring presence of the device on the head of the person by periodically obtaining biometric data from the person and analyzing a change in the biometric data relative to previously obtained biometric data for the person, and when a change is present, stopping display of the test questions and generating and transmitting a communication to a test-providing institution derived from the change in biometric data.

A personal authentication apparatus comprises a first image capture unit that captures an eyeball image, a first image processing unit that obtains brightness information of the captured eyeball image and generates divided eyeball images by dividing a region of the eyeball image based on the brightness information of the eyeball image, a first storage unit that stores brightness information of the divided eyeball images and position information of the divided eyeball images in relation to the eyeball image in association with each other, and a learning unit that executes different types of learning processing respectively for the divided eyeball images in accordance with the brightness information and the position information of the divided eyeball images.

A classification method and a classification device for classifying a level of an age-related macular degeneration are provided. The classification method includes the following. An object detection model and a first classification model are pre-stored. A fundus image is obtained. A bounding box is generated in the fundus image according to a macula in the fundus image detected by the object detection model. An intersection over union between a predetermined area and the bounding box in the fundus image is calculated. A classification of the fundus image is generated according to the first classification model in response to the intersection over union being greater than a threshold.

Embodiments are disclosed for using an apparatus to perform pupil identification. An example method includes toggling circuitry configured to determine, based on a measured ambient infrared light level, whether to perform pupil identification using one of either the dark pupil identification process or the bright pupil identification process; and pupil identification circuitry configured to perform pupil identification on a user using the bright identification process upon the determination that the measured ambient infrared light level falls within a first range and to perform dark pupil identification process upon the determination that the measured ambient infrared light level falls within a second range. Corresponding apparatuses and non-transitory computer readable storage media are also provided.

Gaming devices, systems, and methods include a gaming device that includes a display device and an image capture device to capture a plurality of images of an eye of a player of the gaming device at a plurality of respective times. The gaming device generates, for each image of the plurality of images, gaze direction data indicative of a gaze direction of the eye of the player at the respective time corresponding to the image. The gaming device accesses a player database including player data for a plurality of players, the player data including, for each player, stored gaze data. Based on the gaze direction data and the stored gaze data, the gaming device determines a player parameter value corresponding to a player parameter for the player. Based on the player parameter value, the gaming device modifies a game feature of a wagering game at the gaming device.

Illustrative embodiments of the present disclosure relate to a method, a wearable device, an electronic device, and a computer program product for monitoring a user. The method includes verifying an identity of the user by analyzing user data related to the user and obtained by a wearable device, the user data including at least a first image of a part of the user's body. The method further includes monitoring a relative position of the wearable device with respect to the user based on sensor data obtained by the wearable device if the verification on the identity of the user succeeds; monitoring a surrounding environment of the user based on a second image of the surrounding environment obtained by the wearable device; and monitoring behaviors of the user based at least in part on the monitored relative position and the monitored surrounding environment.

Various embodiments provide systems and methods for identifying impairment using measurement devices.

The present disclosure provides a method and device to process identity information based on a fundus image. An identity information comparison method includes: recognizing a fundus image by using a neural network to obtain a multi-dimensional feature vector representing the identity of a user; comparing the obtained multi-dimensional feature vector with each multi-dimensional feature vector stored in a database; and determining, according to a comparison result, whether there is a matching between the currently obtained multi-dimensional feature vector and a multi-dimensional feature vector pre-stored in the database.

An information processing apparatus includes: a memory configured to store one or more instructions; and a processor configured to execute the one or more instructions to: obtain a first image including a first representation of an iris region of a first eye; obtain a second image including a second representation of an iris region of a second eye; receive an input to rotate at least one of the first image or the second image; and control a display to display the at least one of the first image or the second image in a rotated state based on the input.

An authentication system according to one aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: track an object included in a video captured by a first capture device; detect a candidate for biometric authentication in the object being tracked; determine whether biometric authentication has been performed for the candidate based on a record of biometric authentication performed for the object being tracked; and perform the biometric authentication for the candidate based on a video of an authentication part of the candidate when the biometric authentication has not been performed for the candidate, the video of the authentication part being captured by a second capture device having a capture range including a part of a capture range of the first capture device.