Abstract: Methods, devices and systems for generating data suitable for determining at least one eye state variable of at least one eye of a subject, and methods and systems for determining such eye state variables are provided. The at least one eye state variable being derivable from at least one image of the eve taken with a camera of known camera intrinsics. Synthetic image data of a first 3D model eye which models corneal refraction can be generated for different sets of eye state variables and may be used to determine said eye state variables using a further 3D eye model comprising at least one parameter. A characteristic of the pupil image in the synthetic images can be determined for later use to determine eye state variables based on image data of real eyes and under use of the further 3D eye model.

Abstract: A method for detecting one or more gaze-related parameters of a user is disclosed. In one example, the method includes creating a left image of at least a portion of a left eye of the user using a first camera of a head-wearable device worn by the user, and creating a right image of at least a portion of a right eye of the user using a second camera of the head-wearable device. The left and right images are fed together as an input into a convolutional neural network. One or more gaze-related parameters are obtained from the convolutional neural network as a result of the left and right images input.

Abstract: A system and method for generating data suitable for determining one or more parameters of at least one eye of a subject. The method includes receiving image data of an eye at a first time from a camera of known camera intrinsics and defining an image plane. A first ellipse in the image data is determined. The method includes determining a first eye intersecting line in 3D expected to intersect a 3D center of the eyeball at the first time as a line which is, in the direction of the orientation vector, parallel-shifted to the first center line by an expected distance between the center of the eyeball and a center of the pupil.

Abstract: A method for detecting one or more gaze-related parameters of a user is disclosed. In one example, the method includes creating a left image of at least a portion of a left eye of the user using a first camera of a head-wearable device worn by the user, and creating a right image of at least a portion of a right eye of the user using a second camera of the head-wearable device. The left and right images are fed together as an input into a convolutional neural network. One or more gaze-related parameters are obtained from the convolutional neural network as a result of the left and right images input.