Abstract: A method comprising using at least one hardware processor for receiving a plurality of media files captured in real-time by a sensor of a client terminal, wherein each of the plurality of media files comprises data captured from the environment surrounding the client terminal. The method comprises extracting a plurality of captured media fragments from the plurality of media files. The method comprises retrieving a plurality of random media fragments from a database. The method comprises sending the plurality of captured media fragments and the plurality of random media fragments to the client terminal or to a different client terminal, for presentation to a user in an arbitrary order. The method comprises receiving from the client terminal or the different client terminal a selection of the plurality of captured media fragments. The method comprises sending a user authentication to a secure server module based on the selection.

Abstract: There is provided, in accordance with some embodiments, a method comprising using one or more hardware processors for receiving a behavioral biometric model that characterizes a human user according to pointing device data of the human user, where the pointing device data comprises screen coordinate and time stamp pairs. The method comprises an action of monitoring an input data stream from a pointing device in real time, wherein the input data stream covers two or more spatial regions of a display screen, and an action of segregating the input data stream into one or more subset streams that is restricted to one of the plurality of spatial regions. The method comprises an action of computing a similarity score based on one or more comparisons of the behavioral biometric model and the one or more subset streams, and an action of sending the similarity score to a user authorization system.

Abstract: A method of determining a point or object on a digital display that is being gazed at by a viewer by capturing an image of the viewer's iris and at least one other feature of the viewer's face, calculating an imaginary line from the object being viewed, to the iris and continuing to an imaginary center of the viewer's eye, then calculating a position of the center of the eye relative to the other feature of the viewer's face. Upon a change in the position of the eye and the iris, a calculation can be made of a position of the iris in a second image. An imaginary line can be extended out from the center of the eye, through the new position of the iris onto the digital display to determine the point of gaze of the viewer.

Abstract: A method comprising using at least one hardware processor for receiving a plurality of media files captured in real-time by a sensor of a client terminal, wherein each of the plurality of media files comprises data captured from the environment surrounding the client terminal. The method comprises extracting a plurality of captured media fragments from the plurality of media files. The method comprises retrieving a plurality of random media fragments from a database. The method comprises sending the plurality of captured media fragments and the plurality of random media fragments to the client terminal or to a different client terminal, for presentation to a user in an arbitrary order. The method comprises receiving from the client terminal or the different client terminal a selection of the plurality of captured media fragments. The method comprises sending a user authentication to a secure server module based on the selection.

Abstract: There is provided, in accordance with some embodiments, a method comprising using one or more hardware processors for receiving a behavioral biometric model that characterizes a human user according to pointing device data of the human user, where the pointing device data comprises screen coordinate and time stamp pairs. The method comprises an action of monitoring an input data stream from a pointing device in real time, wherein the input data stream covers two or more spatial regions of a display screen, and an action of segregating the input data stream into one or more subset streams that is restricted to one of the plurality of spatial regions. The method comprises an action of computing a similarity score based on one or more comparisons of the behavioral biometric model and the one or more subset streams, and an action of sending the similarity score to a user authorization system.

Abstract: A method of determining a point or object on a digital display that is being gazed at by a viewer by capturing an image of the viewer's iris and at least one other feature of the viewer's face, calculating an imaginary line from the objet being viewed, to the iris and continuing to an imaginary center of the viewer's eye, then calculating a position of the center of the eye relative to the other feature of the viewer's face. Upon a change in the position of the eye and the iris, a calculation can be made of a position of the iris in a second image. An imaginary line can be extended out from the center of the eye, through the new position of the iris onto the digital display to determine the point of gaze of the viewer.

Abstract: A method of determining a point or object on a digital display that is being gazed at by a viewer by capturing an image of the viewer's iris and at least one other feature of the viewer's face, calculating an imaginary line from the objet being viewed, to the iris and continuing to an imaginary center of the viewer's eye, then calculating a position of the center of the eye relative to the other feature of the viewer's face. Upon a change in the position of the eye and the iris, a calculation can be made of the position of the center of eye relative to the other feature, and a position of the iris in a second image. An imaginary line can be extended out from the center of the eye, through the new position of the iris on onto the to the digital display to determine the point of gaze of the viewer.