Patents by Inventor Sid KOUIDER

Sid KOUIDER has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12093456
    Abstract: An adaptive calibration method in a brain-computer interface is disclosed. The method is used to reliably associate a neural signal to an object whose attendance by a user elicited that neural signal. A visual stimulus overlaying one or more objects is provided, at least a portion of the visual stimulus having a characteristic modulation. The brain computer interface measures neural response to objects viewed by a user. The neural response to the visual stimulus is correlated to the modulation, the correlation being stronger when attention is concentrated upon the visual stimulus. Weights are applied to the resulting model of neural responses for the user based on the determined correlations. Both neural signal model weighting and displayed object display modulation are adapted so as to improve the certainty of the association of neural signals with the objects that evoked those signals.
    Type: Grant
    Filed: July 31, 2020
    Date of Patent: September 17, 2024
    Assignee: NextMind SAS
    Inventors: Nicolas Barascud, Paul Roujansky, Clement Royen, Sid Kouider
  • Publication number: 20240295924
    Abstract: A system and method relating to a brain-computer interface in which a visual stimulus overlaying one or more objects is provided, the visual stimulus having a characteristic modulation. The brain computer interface measures neural response to objects viewed by a user. The neural response to the visual stimulus is correlated to the modulation. The method allows the interface to discriminate between merely viewing of a display object and deliberate selection of that display object (for example, as a trigger to a further action).
    Type: Application
    Filed: May 7, 2024
    Publication date: September 5, 2024
    Inventors: Sid Kouider, Robin Zerafa, Nelson Steinmetz, Nicolas Barascud
  • Publication number: 20240288941
    Abstract: A human interface system comprising a physical controller configured to receive input from a user and a brain-computer interface in which visual stimuli are presented such that the intention of the user can be validated. The input data from the physical controller is combined with input data from the brain-computer interface to provide hybrid input which may be used to control one or more external real or computer-generated objects. Method of operating said human interface device.
    Type: Application
    Filed: May 7, 2024
    Publication date: August 29, 2024
    Inventors: Nelson Steinmetz, Sid Kouider, Robin Zerafa
  • Patent number: 12045389
    Abstract: An adaptive calibration method in a brain-computer interface is disclosed. The method is used to reliably associate a neural signal to an object whose attendance by a user elicited that neural signal. A visual stimulus overlaying one or more objects is provided, at least a portion of the visual stimulus having a characteristic modulation. The brain computer interface measures neural response to objects viewed by a user. The neural response to the visual stimulus is correlated to the modulation, the correlation being stronger when attention is concentrated upon the visual stimulus. Weights are applied to the resulting model of neural responses for the user based on the determined correlations. Both neural signal model weighting and displayed object display modulation are adapted so as to improve the certainty of the association of neural signals with the objects that evoked those signals.
    Type: Grant
    Filed: July 31, 2020
    Date of Patent: July 23, 2024
    Assignee: NextMind SAS
    Inventors: Nicolas Barascud, Paul Roujansky, Clement Royen, Sid Kouider
  • Patent number: 11995236
    Abstract: A system and method relating to a brain-computer interface in which a visual stimulus overlaying one or more objects is provided, the visual stimulus having a characteristic modulation. The brain computer interface measures neural response to objects viewed by a user. The neural response to the visual stimulus is correlated to the modulation. The method allows the interface to discriminate between merely viewing of a display object and deliberate selection of that display object (for example, as a trigger to a further action).
    Type: Grant
    Filed: January 11, 2021
    Date of Patent: May 28, 2024
    Assignee: SNAP INC.
    Inventors: Sid Kouider, Robin Zerafa, Nelson Steinmetz, Nicolas Barascud
  • Patent number: 11995235
    Abstract: A human interface system comprising a physical controller configured to receive input from a user and a brain-computer interface in which visual stimuli are presented such that the intention of the user can be validated. The input data from the physical controller is combined with input data from the brain-computer interface to provide hybrid input which may be used to control one or more external real or computer-generated objects. Method of operating said human interface device.
    Type: Grant
    Filed: January 8, 2021
    Date of Patent: May 28, 2024
    Assignee: SNAP INC.
    Inventors: Nelson Steinmetz, Sid Kouider, Robin Zerafa
  • Publication number: 20240152208
    Abstract: An adaptive calibration method in a brain-computer interface is disclosed. The method is used to reliably associate a neural signal to an object whose attendance by a user elicited that neural signal. A visual stimulus overlaying one or more objects is provided, at least a portion of the visual stimulus having a characteristic modulation. The brain computer interface measures neural response to objects viewed by a user. The neural response to the visual stimulus is correlated to the modulation, the correlation being stronger when attention is concentrated upon the visual stimulus. Weights are applied to the resulting model of neural responses for the user based on the determined correlations. Both neural signal model weighting and displayed object display modulation are adapted so as to improve the certainty of the association of neural signals with the objects that evoked those signals.
    Type: Application
    Filed: January 16, 2024
    Publication date: May 9, 2024
    Inventors: Nicolas Barascud, Paul Roujansky, Clement Royen, Sid Kouider
  • Publication number: 20230359275
    Abstract: A system and method relating to a brain-computer interface in which a visual stimulus overlaying one or more objects is provided, at least a portion of the visual stimulus having a characteristic modulation. The brain computer interface measures neural response to objects viewed by a user. The neural response to the visual stimulus is correlated to the modulation, the correlation being stronger when attention is concentrated upon the visual stimulus. The visual stimulus includes a feedback element that varies according to a measure of attention on the or each overlaid object.
    Type: Application
    Filed: November 6, 2020
    Publication date: November 9, 2023
    Inventors: Nicolas Barascud, Nelson Steinmetz, Robin Zerafa, Sid Kouider
  • Publication number: 20230284949
    Abstract: A method for determining the focus of the visual attention of an individual from electroencephalographic signals. At least one visual stimulus to be displayed is generated from at least one graphical object, a visual stimulus being an animated graphical object obtained by applying to a graphical object a temporal succession of elementary transformations that is temporally parameterized by a corresponding modulation signal. From a plurality of electroencephalographic signals produced by the individual focusing his visual attention to one of the visual stimuli, a modulation signal is reconstructed. A visual stimulus corresponding to the modulation signal for which the degree of statistical dependence with the reconstructed modulation signal is higher than a first threshold is identified.
    Type: Application
    Filed: May 19, 2023
    Publication date: September 14, 2023
    Inventors: Sid Kouider, Jean-Maurice Leonetti, Nicolas Barascud, Robin Zerafa
  • Patent number: 11717204
    Abstract: A method for determining the focus of the visual attention of an individual from electroencephalographic signals. At least one visual stimulus to be displayed is generated from at least one graphical object, a visual stimulus being an animated graphical object obtained by applying to a graphical object a temporal succession of elementary transformations that is temporally parameterized by a corresponding modulation signal. From a plurality of electroencephalographic signals produced by the individual focusing his visual attention to one of the visual stimuli, a modulation signal is reconstructed. A visual stimulus corresponding to the modulation signal for which the degree of statistical dependence with the reconstructed modulation signal is higher than a first threshold is identified.
    Type: Grant
    Filed: September 6, 2018
    Date of Patent: August 8, 2023
    Assignee: NextMind SAS
    Inventors: Sid Kouider, Jean-Maurice Leonetti, Nicolas Barascud, Robin Zerafa
  • Patent number: 11684300
    Abstract: A method for determining the focus of the visual attention of an individual from electroencephalographic signals. At least one visual stimulus to be displayed is generated from at least one graphical object, a visual stimulus being an animated graphical object obtained by applying to a graphical object a temporal succession of elementary transformations that is temporally parameterized by a corresponding modulation signal. From a plurality of electroencephalographic signals produced by the individual focusing his visual attention to one of the visual stimuli, a modulation signal is reconstructed. A visual stimulus corresponding to the modulation signal for which the degree of statistical dependence with the reconstructed modulation signal is higher than a first threshold is identified.
    Type: Grant
    Filed: September 6, 2018
    Date of Patent: June 27, 2023
    Assignee: NextMind SAS
    Inventors: Sid Kouider, Jean-Maurice Leonetti, Nicolas Barascud, Robin Zerafa
  • Publication number: 20230032492
    Abstract: A system and method relating to a brain-computer interface in which a visual stimulus overlaying one or more objects is provided, the visual stimulus having a characteristic modulation. The brain computer interface measures neural response to objects viewed by a user. The neural response to the visual stimulus is correlated to the modulation. The method allows the interface to discriminate between merely viewing of a display object and deliberate selection of that display object (for example, as a trigger to a further action).
    Type: Application
    Filed: January 11, 2021
    Publication date: February 2, 2023
    Inventors: Sid Kouider, Robin Zerafa, Nelson Steinmetz, Nicolas Barascud
  • Publication number: 20230022442
    Abstract: A human interface system comprising a physical controller configured to receive input from a user and a brain-computer interface in which visual stimuli are presented such that the intention of the user can be validated. The input data from the physical controller is combined with input data from the brain-computer interface to provide hybrid input which may be used to control one or more external real or computer-generated objects. Method of operating said human interface device.
    Type: Application
    Filed: January 8, 2021
    Publication date: January 26, 2023
    Inventors: Nelson Steinmetz, Sid Kouider, Robin Zerafa
  • Publication number: 20230026513
    Abstract: A human interface device comprising an eye tracking unit configured to determine the direction of gaze of a user and a brain-computer interface in which visual stimuli are presented such that the intention of the user can be validated, offering an improved and intuitive user experience. Method of operating said human interface device.
    Type: Application
    Filed: November 23, 2020
    Publication date: January 26, 2023
    Inventors: Sid Kouider, Nelson Steinmetz, Robin Zerafa
  • Publication number: 20230000422
    Abstract: There is provided a sensor for an electroencephalographic (EEC) device for measuring electrical signals generated by the neuronal activity of a subject. The sensor has at least one blade-like contact surface and the contact surface has a curved profile adapted for user comfort and electrical contact.
    Type: Application
    Filed: November 18, 2020
    Publication date: January 5, 2023
    Inventors: Bastien Rechke, Guillaume Ployart, Sid Kouider
  • Publication number: 20220409094
    Abstract: A method and system for tracking visual attention are disclosed. By generating at least one visual stimulus with a characteristic modulation, the characteristic modulation being applied to high spatial frequency, HSF, components of the visual stimulus and displaying the or each visual stimulus via a graphical user interface, GUI, of a display, a neural response may be induced in the user's brain. By receiving neural signals of a user from a neural signal capture device, such as an EEG device, a point of focus of the user (when the user views the visual stimulus) may be determined based on the neural signals, since the neural signals include information associated with the characteristic modulation of a visual stimulus to which the user's visual attention is directed.
    Type: Application
    Filed: November 6, 2020
    Publication date: December 29, 2022
    Inventors: Sid Kouider, Nelson Steinmetz, Robin Zerafa, Guillaume Ployart
  • Publication number: 20220413611
    Abstract: A system and method relating to a brain-computer interface in which visual stimuli are presented in direct association with real world objects such that the intention of the user with respect to objects in the real world can be inferred without the interposition of a screen or other display device.
    Type: Application
    Filed: November 20, 2020
    Publication date: December 29, 2022
    Inventors: Sid Kouider, Nelson Steinmetz, Robin Zerafa, Adrien Jollet, Bastien Rechke, Guillaume Ployart, Hao Zhang
  • Publication number: 20220276707
    Abstract: An adaptive calibration method in a brain-computer interface is disclosed. The method is used to reliably associate a neural signal to an object whose attendance by a user elicited that neural signal. A visual stimulus overlaying one or more objects is provided, at least a portion of the visual stimulus having a characteristic modulation. The brain computer interface measures neural response to objects viewed by a user. The neural response to the visual stimulus is correlated to the modulation, the correlation being stronger when attention is concentrated upon the visual stimulus. Weights are applied to the resulting model of neural responses for the user based on the determined correlations. Both neural signal model weighting and displayed object display modulation are adapted so as to improve the certainty of the association of neural signals with the objects that evoked those signals.
    Type: Application
    Filed: July 31, 2020
    Publication date: September 1, 2022
    Inventors: Nicolas Barascud, Paul Roujansky, Cleement Royen, Sid Kouider
  • Publication number: 20210030297
    Abstract: According to one aspect, the present description relates to a portable device (10) for acquiring electroencephalographic (EEG) signals emitted by a user. The portable device comprises a flexible support (11) intended to fit a localized region of the skull of the user and a set of sensors (13) of electrical signals generated by the neuronal activity of the user, arranged on said support (11) so as to form contacts with the scalp when the device is worn by the user. For each sensor, an electronic circuit for filtering and amplifying electrical signals detected by said sensor is incorporated in the flexible support (11) and forms, with said sensor, an active electrode. The portable device also comprises a housing (12) comprising an electronic system for processing signals from said electronic filtering and amplification circuits, said housing being linked mechanically to the flexible support to form, with said support, a means of attachment to a garment or accessory (101) intended to be worn by the user.
    Type: Application
    Filed: February 12, 2019
    Publication date: February 4, 2021
    Applicants: Centre National de la Recherche Scientifique, ECOLE NORMALE SUPERIEURE DE PARIS, PARIS SCIENCES ET LETTRES - QUARTIER LATIN, Ecole des Hautes Etudes en Sciences Sociales, ECOLE NATIONALE SUPERIEURE DES ARTS DECORATIFS
    Inventors: Sid Kouider, Hao Zhang, Antoine Goupille, Jeanne Vicerial, Guillaume Ployart, Arthur Biancarelli, Gaelle Gervais
  • Publication number: 20200297263
    Abstract: A method for determining the focus of the visual attention of an individual from electroencephalographic signals. At least one visual stimulus to be displayed is generated from at least one graphical object, a visual stimulus being an animated graphical object obtained by applying to a graphical object a temporal succession of elementary transformations that is temporally parameterized by a corresponding modulation signal. From a plurality of electroencephalographic signals produced by the individual focusing his visual attention to one of the visual stimuli, a modulation signal is reconstructed. A visual stimulus corresponding to the modulation signal for which the degree of statistical dependence with the reconstructed modulation signal is higher than a first threshold is identified.
    Type: Application
    Filed: September 6, 2018
    Publication date: September 24, 2020
    Applicants: Centre National de la Recherche Scientifique, ECOLE NORMALE SUPERIEURE DE PARIS, Ecole des Hautes Etudes en Sciences Sociales
    Inventors: Sid KOUIDER, Jean-Maurice LEONETTI, Nicolas BARASCUD, Robin ZERAFA