Tobii Ab

Johannes Kron

Mårten Skogö

Simon Gustafsson

Pravin Kumar Rana

Daniel Johansson Tornéus

Mark Ryan

Yimu Wang

Jonas Andersson

Simon Johansson

Mikael Rosell

Ralf Biedert

Torbjörn Sundberg

Gilfredo Remon Salazar

Tiesheng Wang

Macarena Garcia Romero

Mark Ainsley Ryan

A method for processing a gaze signal in an eye tracking system is provided. The method comprises receiving a first image of a user's eye captured at a first point in time and a second image of the users eye captured at a second point in time subsequent to the first point in time, and determining, based on the first image and the second image, whether eye movement of the user's eye is in fixation or not. The method may further comprise to, on condition that the eye movement of the users eye is in fixation, applying a filter on the gaze signal, wherein the filter is adapted to decrease variance in the gaze signal.

Zero delay gaze filter

Images of an eye are captured by a camera. For each of the images, gaze data is obtained and a position of a pupil center is estimated in the image. The gaze data indicates a gaze point and/or gaze direction of the eye when the image was captured. A mapping is calibrated using the obtained gaze data and the estimated positions of the pupil center. The mapping maps positions of the pupil center in images captured by the camera to gaze points at a surface, or to gaze directions. A further image of the eye is captured by the camera. A position of the pupil center is estimated in the further image. Gaze tracking is performed using the calibrated mapping and the estimated position of the pupil center in the further image. These steps may for example be performed at a HMD.

Gaze tracking using mapping of pupil center position

There is provided a method, system, and non-transitory computer-readable storage medium for classifying glints using an eye tracking system of a head-mounted device, by obtaining the position of any glint present in a current image of the first eye; obtaining a dataset indicative of the respective position of at least one glint detected in one or more previously captured images of the first eye; and, for each glint present in current image, determining if the position of the glint corresponds to the position of a glint in the dataset and, if the positions correspond, classify the glint as a static glint. The static glints may be excluded from further processing in the eye tracking system. If there has been a movement of an eye of the user of the head-mounted device, embodiments may further comprise updating the dataset based on the current image.

Classification of glints using an eye tracking system

An eye-tracking system for performing a pupil-detection process, the eye-tracking system configured to: receive image-data comprising a plurality of pixel-arrays, each pixel-array having a plurality of pixel locations and an intensity-value at each of the pixel locations; for each pixel location of a region of pixel locations: define an intensity-value-set comprising the intensity-values at the pixel location for two or more of the plurality of pixel-arrays; and determine the pixel location to be an excluded pixel location if the intensity-value-set does not satisfy an intensity condition; and exclude the excluded pixel locations from the pupil-detection process.

Eye-tracking system and method for pupil detection, associated systems and computer programs

A system for determining a gaze direction of a user is disclosed. The system may include a first illuminator, a first profile sensor, and at least one processor. The first illuminator may be configured to illuminate an eye of a user. The first profile sensor may be configured to detect light reflected by the eye of the user. The processor(s) may be configured to determine a gaze direction of the user based at least in part on light detected by the first profile sensor.

Eye-tracking enabled wearable devices

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Danderyd, Sweden

Johannes Kron