Ultrahaptics IP Two Limited

Leap Motion, Inc.

Google Inc.

Wing Aviation LLC

X Development LLC

Maxwell Andrew Sills

David S Holz

Isaac Cohen

Gabriel Archacki Hare

Raffi A Bedikian

Paul Durdik

Robert Samuel Gordon

Hua Yang

Adrian Gasinski

Ian Wetherbee

Jonathan Marsden

Matias Perez

Keith Mertens

Ryan Julian

Aaron Smith

Hongyuan (Jimmy) He

Neeloy Roy

Daniel J Berlin

The technology disclosed can provide methods and systems for identifying users while capturing motion and/or determining the path of a portion of the user with one or more optical, acoustic or vibrational sensors. Implementations can enable use of security aware devices, e.g., automated teller machines (ATMs), cash registers and banking machines, other secure vending or service machines, security screening apparatus, secure terminals, airplanes, automobiles and so forth that comprise sensors and processors employing optical, audio or vibrational detection mechanisms suitable for providing gesture detection, personal identification, user recognition, authorization of control inputs, and other machine control and/or machine communications applications. A virtual experience can be provided to the user in some implementations by the addition of haptic, audio and/or other sensory information projectors.

Biometric aware object detection and tracking

The technology disclosed relates to automatically interpreting motion of a control object in a three dimensional (3D) sensor space by sensing a movement of the control object in the (3D) sensor space, interpreting movement of the control object, and presenting the interpreted movement as a path on a display. The path may be displayed once the speed of the movement exceeds a pre-determined threshold measured in cm per second. Once the path is displayed, the technology duplicates a display object that intersects the path on the display. In some implementations, the control object may be a device, a hand, or a portion of a hand (such as a finger).

Velocity field interaction for free space gesture interface and control

The technology disclosed relates to creating user-defined interaction spaces and modalities in a three dimensional (3D) sensor space in response to control gestures. It also relates to controlling virtual cameras in the 3D sensor space using control gestures and manipulating controls of the virtual cameras through the control gestures. In particular, it relates to defining one or more spatial attributes of the interaction spaces and modalities in response to one or more gesture parameters of the control gesture. It also particularly relates to defining one or more visual parameters of a virtual camera in response to one or more gesture parameters of the control gesture.

User-defined virtual interaction space and manipulation of virtual cameras with vectors

Embodiments of display control based on dynamic user interactions generally include capturing a plurality of temporally sequential images of the user, or a body part or other control object manipulated by the user, and computationally analyzing the images to recognize a gesture performed by the user. In some embodiments, the gesture is identified as an engagement gesture, and compared with reference gestures from a library of reference gestures. In some embodiments, a degree of completion of the recognized engagement gesture is determined, and the display contents are modified in accordance therewith. In some embodiments, a dominant gesture is computationally determined from among a plurality of user gestures, and an action displayed on the device is based on the dominant gesture.

Dynamic, free-space user interactions for machine control

The technology disclosed relates to manipulating a virtual object. In particular, it relates to detecting a hand in a three-dimensional (3D) sensory space and generating a predictive model of the hand, and using the predictive model to track motion of the hand. The predictive model includes positions of calculation points of fingers, thumb and palm of the hand. The technology disclosed relates to dynamically selecting at least one manipulation point proximate to a virtual object based on the motion tracked by the predictive model and positions of one or more of the calculation points, and manipulating the virtual object by interaction between at least some of the calculation points of the predictive model and the dynamically selected manipulation point.

Interactions with virtual objects for machine control

The technology disclosed relates to providing simplified manipulation of virtual objects by detected hand motions. In particular, it relates to a detecting hand motion and positions of the calculation points relative to a virtual object to be manipulated, dynamically selecting at least one manipulation point proximate to the virtual object based on the detected hand motion and positions of one or more of the calculation points, and manipulating the virtual object by interaction between the detected hand motion and positions of one or more of the calculation points and the dynamically selected manipulation point.

Virtual interactions for machine control

User-defined virtual interaction space and manipulation of virtual cameras in the interaction space

User-defined virtual interaction space and manipulation of virtual configuration

A method and system are provided for controlling a machine using gestures. The method includes sensing a variation of position of a control object using an imaging system, determining, from the variation, one or more primitives describing a characteristic of a control object moving in space, comparing the one or more primitives to one or more gesture templates in a library of gesture templates, selecting, based on a result of the comparing, one or more gesture templates corresponding to the one or more primitives, and providing at least one gesture template of the selected one or more gesture templates as an indication of a command to issue to a machine under control responsive to the variation.

Method and system for controlling a machine according to a characteristic of a control object

The technology disclosed relates to automatically interpreting a gesture of a control object in a three dimensional sensor space by sensing a movement of the control object in the three dimensional sensor space, sensing orientation of the control object, defining a control plane tangential to a surface of the control object and interpreting the gesture based on whether the movement of the control object is more normal to the control plane or more parallel to the control plane.

Growing community of inventors

Mountain View, CA, United States of America

Maxwell Andrew Sills