Abstract: A method includes pointing an image capture module on a head mounted augmented reality display towards a panel, recognizing fiducial markers on the panel and an interaction area defined by the fiducial markers, recognizing and using a panel identifier to select a graphical user interface, rendering the graphical user interface on the augmented reality display to appear to float in a volume between the head mounted augmented reality display and the interaction area, where at least two of the fiducial markers are configured for defining a position and orientation of the panel with respect to the head mounted augmented reality display, and using the image capture module to recognize a hand, a finger or a predefined detectable object in the volume, where the hand, the finger or the predefined detectable object is directed towards at least one graphical user interface element rendered to appear to float in the volume.

Abstract: The present disclosure provides a method for user interaction. The method includes pointing a first device having a sensor, towards a panel defining a physical area having a plurality of markers rendered thereon, recognizing an interaction area defined by the plurality of markers on the panel, and rendering a plurality of graphical user interface elements on the panel in an Input/Output viewport. The plurality of markers includes at least one of an object and a shape recognizable by suitable computer vision means. Further, the Input/Output viewport includes a spatial volume between the first device and the panel.

Abstract: A system and method for recognition of hand gesture in computing devices. The system recognizes a hand of a user by identifying a predefined first gesture and further collects visual information related to the hand identified on the basis of the first predefined gesture. The visual information is used to extract a second gesture (and all other gestures after the second) from the video/image captured by the camera and finally interpreting the second gesture as a user input to the computing device. The system enables gesture recognition in various light conditions and can be operated by various user hands including the ones wearing gloves.