Snap Inc.

Nextmind Sas

Sid Kouider

Robin Zerafa

Nelson Steinmetz

Nicolas Barascud

Guillaume Ployart

Paul Roujansky

Clement Royen

Jeanne Vicerial

Jean-Maurice Leonetti

Antoine Goupille

Hao Zhang

Arthur Biancarelli

Gaelle Gervais

Adrien Jollet

Bastien Rechke

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.

Brain-computer interface

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.

Human interface system

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.

Visual brain-computer interface

According to one aspect, the present description relates to a portable device () for acquiring electroencephalographic (EEG) signals emitted by a user. The portable device comprises a flexible support () intended to fit a localized region of the skull of the user and a set of sensors () of electrical signals generated by the neuronal activity of the user, arranged on said support () 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 () and forms, with said sensor, an active electrode. The portable device also comprises a housing () 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 intended to be worn by the user.

Portable electroencephalography devices

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.

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).

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.

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Paris, France

Sid Kouider