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: 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: 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 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: 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: A system configured to enable operation of an apparatus based on the gaze of a user, the system comprising a processor, and a memory comprising instructions executable by the processor, wherein the system is configured to determine a gaze region of a user among a plurality of regions associated with the apparatus, wherein the plurality of regions comprises at least one primary gaze region and at least one secondary gaze region and perform at least one action based on the determination of the gaze region, wherein the system is configured to determine the gaze region using a first gaze estimation algorithm and/or a second gaze estimation algorithm.

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: There is provided mechanisms for eye position determination of a subject depicted in an image set. A method comprises obtaining first information indicating a first set of eye positions of the subject by applying a first eye tracking procedure on an image set depicting the subject. The first eye tracking procedure uses a first set of features extracted from the image set for obtaining the first set of eye positions. The method comprises obtaining second information indicating a second set of eye positions of the subject by applying a second eye tracking procedure on the image set depicting the subject. The second eye tracking procedure uses a second set of features extracted from the image set for obtaining the second set of eye positions.

Abstract: Methods and corresponding systems of controlling illuminators in an eye tracking system are disclosed. The system includes a first image sensor, a second image sensor, a first close illuminator arranged to capture bright pupil images by the first image sensor, a second close illuminator arranged to capture bright pupil images by the second image sensor and one or more far illuminators arranged to capture dark pupil images by the first image sensor and the second image sensor. In the methods main and support illuminators are controlled during exposure of a first and a second image sensor to produce enhanced contrast and glint position for eye/gaze tracking.

Abstract: The disclosure relates to a method performed by a computer for identifying a space that a user of a gaze tracking system is viewing, the method comprising obtaining gaze tracking sensor data, generating gaze data comprising a probability distribution using the sensor data by processing the sensor data by a trained model and identifying a space that the user is viewing using the probability distribution.

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: Methods and systems for optical alignment to a silicon photonically-enabled integrated circuit may include aligning an optical assembly to a photonics die comprising a transceiver by, at least, communicating optical signals from the optical assembly into a plurality of grating couplers in the photonics die, communicating the one or more optical signals from the plurality of grating couplers to optical taps, with each tap having a first output coupled to the transceiver and a second output coupled to a corresponding output grating coupler, and monitoring an output optical signal communicated out of said photonic chip via said output grating couplers. The monitored output optical signal may be maximized by adjusting a position of the optical assembly. The optical assembly may include an optical source assembly comprising one or more lasers or the optical assembly may comprise a fiber array. Such a fiber array may include single mode optical fibers.

Abstract: An eye/gaze tracking system (100) receives first and second image streams (DIMG1, DIMG2) in first and second processing lines (110; 120) respectively. The first processing line (110) has at least one first processor (P1, P11, P12) generating a first set of components of eye-specific data (p1LG, p1LP, p1RG, p1RP) for producing eye/gaze data (DE/G). The second processing line (120) has at least one second processor (P2, P21, P22) generating a second set of components of eye-specific data (p2LG, p2LP, p2RG, p2RP) for producing the eye/gaze data (DE/G). The eye/gaze data (DE/G) describe an eye position and/or a gaze point of the subject (U).

Abstract: Methods and systems for optical alignment to a silicon photonically-enabled integrated circuit may include aligning an optical assembly to a photonics die comprising a transceiver by, at least, communicating optical signals from the optical assembly into a plurality of grating couplers in the photonics die, communicating the one or more optical signals from the plurality of grating couplers to optical taps, with each tap having a first output coupled to the transceiver and a second output coupled to a corresponding output grating coupler, and monitoring an output optical signal communicated out of said photonic chip via said output grating couplers. The monitored output optical signal may be maximized by adjusting a position of the optical assembly. The optical assembly may include an optical source assembly comprising one or more lasers or the optical assembly may comprise a fiber array. Such a fiber array may include single mode optical fibers.

Abstract: Methods and corresponding systems of controlling illuminators in an eye tracking system are disclosed. The system includes a first image sensor, a second image sensor, a first close illuminator arranged to capture bright pupil images by the first image sensor, a second close illuminator arranged to capture bright pupil images by the second image sensor and one or more far illuminators arranged to capture dark pupil images by the first image sensor and the second image sensor. In the methods main and support illuminators are controlled during exposure of a first and a second image sensor to produce enhanced contrast and glint position for eye/gaze tracking.

Abstract: Methods and systems for optical alignment to a silicon photonically-enabled integrated circuit may include aligning an optical assembly to a photonics die comprising a transceiver by, at least, communicating optical signals from the optical assembly into a plurality of grating couplers in the photonics die, communicating the one or more optical signals from the plurality of grating couplers to optical taps, with each tap having a first output coupled to the transceiver and a second output coupled to a corresponding output grating coupler, and monitoring an output optical signal communicated out of said photonic chip via said output grating couplers. The monitored output optical signal may be maximized by adjusting a position of the optical assembly. The optical assembly may include an optical source assembly comprising one or more lasers or the optical assembly may comprise a fiber array. Such a fiber array may include single mode optical fibers.

Abstract: Methods and systems for optical alignment to a silicon photonically-enabled integrated circuit may include aligning an optical assembly to a photonics die comprising a transceiver by, at least, communicating optical signals from the optical assembly into a plurality of grating couplers in the photonics die, communicating the one or more optical signals from the plurality of grating couplers to optical taps, with each tap having a first output coupled to the transceiver and a second output coupled to a corresponding output grating coupler, and monitoring an output optical signal communicated out of said photonic chip via said output grating couplers. The monitored output optical signal may be maximized by adjusting a position of the optical assembly. The optical assembly may include an optical source assembly comprising one or more lasers or the optical assembly may comprise a fiber array. Such a fiber array may include single mode optical fibers.

Abstract: In order to provide improved efficiency, e.g. in terms of how to operate and maintain a liquid natural gas (LNG) transfer system, while also improving the environmental friendliness of the transfer operation, there is disclosed a method and system of transferring liquid natural gas from a first container 104 to a second container 106 via a pump station 108. The first container 104 is positioned close to the pump station 108 by a truck 110, and the second container 106 is positioned close to the pump station 108 by a ship 112.

Abstract: The present invention relates to a process for production of chlorine dioxide comprising: reacting in an acidic reaction medium in a reaction vessel an alkali metal chlorate or chloric acid and methanol to generate chlorine dioxide, withdrawing from the reaction vessel a gas comprising chlorine dioxide and gaseous by-products, condensing part of the gas withdrawn to obtain a condensate; and removing the condensate from the non-condensed gas without re-circulating it back to the process for production of chlorine dioxide.

Abstract: The invention relates to a process of producing chlorine dioxide comprising the steps of reducing chlorate ions in an acid reaction medium maintained in a reaction zone of a chlorine dioxide generator, which reaction medium contains alkali metal ions and sulfate ions, so to form chlorine dioxide and a solid salt of acidic alkali metal sulfate. The process further comprises the steps of separating said solid acidic alkali metal sulfate from the reaction medium, contacting said solid acidic alkali metal sulfate with an aqueous medium in a mixing tank to effect at least partial conversion to neutral solid alkali metal sulfate, separating the at least partially neutralized solid alkali metal sulfate from the aqueous medium on a rotary drum filter operating with vacuum inside and with part of the drum submerged in a slurry of the at least partially neutralized solid alkali metal sulfate and the aqueous medium, and forming an acid filtrate.