Abstract: A controller is adapted to recognize an input from a user using an input interface, determine if a user gaze information indicates that the user is gazing at a device, and when the user gaze information indicates that the user is gazing at the device, route response information to the device.

Abstract: Features of the present disclosure implement a light illumination system that utilizes a scanning device that is pivotal on an axis between a plurality of positions. To this end, the system may partition the image frame into at least a first sub-image frame and a second sub-image frame. The system may adjust the scanning device, during the first time period, to a first position to reflect light associated with the first sub-image and adjust the scanning mirror, during the second time period, to a second position to reflect light associated with the second sub-image. Thus, by implementing the techniques described herein, the overall size of a linear array (e.g., liquid crystal on silicon or LCoS) in an optics systems (as well as of some optical components in the optics systems) may be reduced from its current constraints, and thereby achieving a compact optical system that is mobile and user friendly.

Abstract: A controller is adapted to recognize an input from a user using an input interface, determine if a user gaze information indicates that the user is gazing at a device, and when the user gaze information indicates that the user is gazing at the device, route response information to the device.

Abstract: User gaze information, which may include a user line of sight, user point of focus, or an area that a user is not looking at, is determined from user body, head, eye and iris positioning. The user gaze information is used to select a context and interaction set for the user. The interaction sets may include grammars for a speech recognition system, movements for a gesture recognition system, physiological states for a user health parameter detection system, or other possible inputs. When a user focuses on a selected object or area, an interaction set associated with that object or area is activated and used to interpret user inputs. Interaction sets may also be selected based upon areas that a user is not viewing. Multiple devices can share gaze information so that a device does not require its own gaze detector.

Abstract: User gaze information, which may include a user line of sight, user point of focus, or an area that a user is not looking at, is determined from user body, head, eye and iris positioning. The user gaze information is used to select a context and interaction set for the user. The interaction sets may include grammars for a speech recognition system, movements for a gesture recognition system, physiological states for a user health parameter detection system, or other possible inputs. When a user focuses on a selected object or area, an interaction set associated with that object or area is activated and used to interpret user inputs. Interaction sets may also be selected based upon areas that a user is not viewing. Multiple devices can share gaze information so that a device does not require its own gaze detector.

Abstract: User gaze information, which may include a user line of sight, user point of focus, or an area that a user is not looking at, is determined from user body, head, eye and iris positioning. The user gaze information is used to select a context and interaction set for the user. The interaction sets may include grammars for a speech recognition system, movements for a gesture recognition system, physiological states for a user health parameter detection system, or other possible inputs. When a user focuses on a selected object or area, an interaction set associated with that object or area is activated and used to interpret user inputs. Interaction sets may also be selected based upon areas that a user is not viewing. Multiple devices can share gaze information so that a device does not require its own gaze detector.

Abstract: User gaze information, which may include a user line of sight, user point of focus, or an area that a user is not looking at, is determined from user body, head, eye and iris positioning. The user gaze information is used to select a context and interaction set for the user. The interaction sets may include grammars for a speech recognition system, movements for a gesture recognition system, physiological states for a user health parameter detection system, or other possible inputs. When a user focuses on a selected object or area, an interaction set associated with that object or area is activated and used to interpret user inputs. Interaction sets may also be selected based upon areas that a user is not viewing. Multiple devices can share gaze information so that a device does not require its own gaze detector.