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.

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.

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.

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.

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.

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.