Abstract: An eye tracking system comprising a processor configured to: receive a plurality of images of an eye from a camera, each image comprising an illuminated sub-region of a cornea of the eye, the illuminated sub-region comprising: a first corneal reflection of a first light source from a surface of the illuminated sub-region; and a second corneal reflection of a second light source from the surface of the illuminated sub-region; for each image, determine a three-dimensional, 3D, position of the first corneal reflection and a 3D position of the second corneal reflection based on a position of the camera, a position of the first light source, a position of the second light source, positions of the first and second corneal reflections in the image and a corneal surface model for the illuminated sub region; and output a topographical profile of the cornea based on the 3D positions determined for each image.

Abstract: Method for determining a current gaze direction of a user in relation to a three-dimensional (“3D”) scene, the 3D scene being sampled by a rendering function to produce at least one projection image of the 3D scene, wherein the method comprises the steps: determining, by a reprojection means, a reprojection transformation to be applied to the projection image before being displayed so as to be visible to the user at a gaze time point; determining, by a gaze direction detection means, a physical gaze direction of the user at said gaze time point; and determining a modified gaze direction of the user at said gaze time point, the modified gaze direction being determined in relation to the 3D scene based on both the physical gaze direction and the reprojection transformation. The disclosure also relates to a system and to a computer software function.

Abstract: The present invention relates to a system and a method for determining an entrance pupil position of an eye of a user of an eye tracking system. The entrance pupil position is determined using a predetermined entrance pupil displacement model, which at least models the angular dependence of the refractive properties of a cornea of the eye.

Abstract: A controller configured to: receive first and second curve data respectively defining first and second curves respectively representative of first and second eyelid edges in an eye image; determine an eye-openness-indicator-line extending from a first intersection point on the first curve to a second intersection point on the second curve by performing an optimisation routine comprising: defining an objective function representative of: an orthogonality of the eye-openness-indicator-line to a first tangent to the first curve at the first intersection point; and an orthogonality of the eye openness indicator line to a second tangent to the second curve at the second intersection point; and adjusting a value of the first intersection point and a value of the second intersection point until at least one termination condition for a value of the objective function is satisfied; and provide an eye openness value based on a length of the eye-openness-indicator-line.

Abstract: The invention is related to an assembly for an eye-tracking system, the assembly comprising a substantially ring-shaped carrier, a seat in the carrier, a plurality of light emitting devices disposed on a substrate, wherein the substrate is positioned against the seat, an alignment window comprising an opening extending through the carrier, an imaging device provided within and supported by the alignment window, wherein the imaging device is facing inwardly, and wherein the carrier is configured to guide light emitted from the plurality of light emitting devices towards an eye of a user when the assembly is used with the eye tracking system. The invention also relates to a corresponding head-mounted device utilizing the assembly.

Abstract: An eye tracking device for tracking an eye is described. The eye tracking device comprises: a first diffractive optical element, DOE, arranged in front of the eye, an image module, wherein the image module is configured to capture an image of the eye via the first DOE. The first DOE is adapted to direct a first portion of incident light reflected from the eye, towards the image module. The eye tracking device is characterized in that the first DOE is configured to provide a lens effect.

Abstract: A computer-implemented method for guiding a user in calibrating a wearable eye tracking device is disclosed. The method comprises determining a calibration point and an initial gaze point of a user wearing the eye tracking device. The method further comprises displaying a calibration marker on a remote display device at the initial gaze point, wherein the calibration marker is configured to indicate a direction. The method further comprises, in response to a movement of the gaze point in relation to the calibration point caused by movement of the user's head and/or movement of the remote display device, determining a current gaze point, and updating the calibration marker in accordance with a calculated direction and/or the distance from the current gaze point to the calibration point.

Abstract: Techniques for using a deep generative model to generate synthetic data sets that can be used to boost the performance of a discriminative model are described. In an example, an autoencoding generative adversarial network (AEGAN) is trained to generate the synthetic data sets. The AEGAN includes an autoencoding network and a generative adversarial network (GAN) that share a generator. The generator learns how to the generate synthetic data sets based on a data distribution from a latent space. Upon training the AEGAN, the generator generates the synthetic data sets. In turn, the synthetic data sets are used to train a predictive model, such as a convolutional neural network for gaze prediction.

Abstract: The invention is related to a method and arrangement for calibrating the camera of an eye tracking device and compensate for a potential angular offset of the camera. The method comprises: the steps of capturing an eye image of a user, wherein the eye image contains a plurality of glints created by a plurality of illuminators in the eye tracking system; detecting glints in the eye image; projecting illuminator positions onto the eye image to determine expected glint positions; determining an angular offset between expected glint positions and detected glint positions for corresponding pairs of expected and detected glint positions; determining the angular correction for the eye tracking camera using the determined angular offset angle; and applying the angular correction for the eye tracking camera to an eye tracker camera model.

Abstract: A method performed by a computer for generating a video comprising blink data of a user viewing a scene depicted as video data, where the blink data is overlayed on the video data. The method includes receiving sensor data. The sensor data includes at least the video data including at least one video frame, and gaze tracking data at least indicative of viewed positions within the scene depicted by at least one video frame of the video data. The method includes processing the sensor data to generate blink data indicative of blink motion of at least one eye of the user. The method includes generating a video overlay by rendering the blink data. generating an output video by mixing the video data and the video overlay.

Abstract: Techniques for controlling light sources used in eye tracking are described. In an example, an eye tracking system generates a first image and a second image showing at least a portion of the user eye illuminated by a predetermined set of illuminators of the eye tracking system. The eye tracking system determines a first position of a glint in the first image and a second position of the glint in the second image. Each of the first position and the second position is relative to a pupil edge. The eye tracking system predicts a third position of the glint relative to the pupil edge based on the first position and the second position. Further, the eye tracking system determines, from the predetermined set, an illuminator that corresponds to the glint and determines, based on the third position, whether to power off the illuminator to generate a third image of at least the portion of the user eye.

Abstract: Systems and methods for avatar eye animation is provided. The method include obtaining a first gaze vector of a user associated with a first eye of the user and obtaining a second gaze vector of the user associated with a second eye of the user. The method further includes determining a first point in a three-dimensional (3D) virtual space that the user is looking toward. The method also includes creating a second point in the 3D virtual space corresponding to the first point in the 3D virtual space. The method then includes rendering a first eye and a second eye of an avatar of the user in the 3D virtual space based on the second point in the 3D virtual space such that the first eye and the second eye of the avatar are looking toward the second point in the 3D virtual space.

Abstract: A method of forming a polymer is disclosed. The method comprises: positioning a mould in relation to a bath containing a molten material to form a mould cavity between the mould and the molten material; adding a monomer within the mould cavity; and curing the monomer to form a polymer.

Abstract: There is provided mechanisms for calibration of an eye tracking system. An eye tracking system comprises a pupil centre corneal reflection (PCCR) based eye tracker and a non-PCCR based eye tracker. A method comprises obtaining at least one first eye position of a subject by applying the PCCR based eye tracker on an image set depicting the subject. The method comprises calibrating a head model of the non-PCCR based eye tracker, as applied on the image set, for the subject using the obtained at least one first eye position from the PCCR based eye tracker as ground truth. The head model comprises facial features that include at least one second eye position. The calibrating involves positioning the head model in order for its at least one second eye position to be consistent with the at least one first eye position given by the PCCR based eye tracker.

Abstract: A method of controlling exposure time is disclosed comprising receiving an image of an eye from an image sensor, the image resulting from the image sensor detecting light during a first exposure time. A pupil intensity is determined as an intensity of a representation of a pupil of the eye in the image and an iris intensity is determined as an intensity of a representation of an iris of the eye in the image. Furthermore, a pupil-iris contrast is determined as a contrast between the representation of the pupil in the image and the representation of the iris in the image. On a condition that the pupil intensity is determined to meet an intensity condition, an intensity compensated exposure time is determined which is different from the first exposure time, and on a condition that the pupil-iris contrast is determined to meet a contrast condition, a contrast compensated exposure time is determined which is different from the first exposure time.

Abstract: The present disclosure generally relates to the field of eye tracking systems. An eye tracking system is provided. The eye tracking system comprises an illuminator arrangement, including at least one light source, configured to illuminate an eye of a user. The eye tracking system is configured to enable a reduction of reflections from an optic arrangement (e.g., a pair of glasses) that is located in a light beam path between the illuminator arrangement and the eye when the eye tracking system is in use. The illuminator arrangement is configured to emit p-polarized light to be incident on a surface of the optic arrangement at an angle corresponding to, or substantially corresponding to, Brewster's angle.

Abstract: A method for training an eye tracking model is disclosed, as well as a corresponding system and storage medium. The eye tracking model is adapted to predict eye tracking data based on sensor data from a first eye tracking sensor. The method comprises receiving sensor data obtained by the first eye tracking sensor at a time instance and receiving reference eye tracking data for the time instance generated by an eye tracking system comprising a second eye tracking sensor. The reference eye tracking data is generated by the eye tracking system based on sensor data obtained by the second eye tracking sensor at the time instance. The method comprises training the eye tracking model based on the sensor data obtained by the first eye tracking sensor at the time instance and the generated reference eye tracking data.

Abstract: The invention is related to a method and system for calibrating an eye tracking device configured to track a gaze point of a user on a display The method comprises: presenting a video on the display to a user, the video having a start size and a start position; tracking the gaze of the user, using an image sensor of the eye tracking device; and sequentially completing, for at least one calibration position, the steps of: resizing the video to a calibration size, wherein the calibration size is smaller than the start size, and translating the video to a calibration position; recording calibration data, using the eye tracking device, for the user viewing the video in the calibration position; and resizing the video to a second size that is greater than the start size.

Abstract: A user monitoring system receives a first data stream from a first recording device and a second data stream from a second recording device. Each of the first data stream and the second data stream include data relating to an eye of the user. The first data stream and the second data stream overlap temporally. The system processes the first data stream to determine a first blink sequence of the user, processes the second data stream to determine a second blink sequence of the user, and compares the first blink sequence and the second blink sequence to detect a blink pattern present in both the first blink sequence and the second blink sequence. The system determines a temporal offset of the first data stream and the second data stream by comparing respective positions of the blink pattern in the first data stream and the second data stream.

Abstract: A system, a head-mounted device, a computer program, a carrier, and a method for a head-mounted device comprising an eye tracking sensor, for updating an eye tracking model in relation to an eye are disclosed. First sensor data in relation to the eye are obtained by means of the eye tracking sensor. After obtaining the first sensor data, the eye tracking sensor is moved in relation to the eye. After moving the eye tracking sensor, second sensor data in relation to the eye are obtained by means of the eye tracking sensor. The eye tracking model in relation to the eye is then updated based on the first sensor data and the second sensor data.