Ultrahaptics IP Two Limited

Leap Motion, Inc.

Salesforce Com, Inc.

Paul Durdik

David S Holz

Maxwell Andrew Sills

Isaac Cohen

Robert Samuel Gordon

Hua Yang

Keith Mertens

Michael Zagorsek

Avinash Dabir

Jonathan Marsden

Leonid Kontsevich

James Donald

Neeloy Roy

Daryl Josephson

Gabriel Archacki Hare

Alex Marcolina

Justin Schunick

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

Methods and systems for processing an input are disclosed that detect a portion of a hand and/or other detectable object in a region of space monitored by a 3D sensor. The method further includes determining a zone corresponding to the region of space in which the portion of the hand or other detectable object was detected. Also, the method can include determining from the zone a correct way to interpret inputs made by a position, shape or a motion of the portion of the hand or other detectable object.

Interacting with a machine using gestures in first and second user-specific virtual planes

The technology disclosed relates to enhancing the fields of view of one or more cameras of a gesture recognition system for augmenting the three-dimensional (3D) sensory space of the gesture recognition system. The augmented 3D sensory space allows for inclusion of previously uncaptured of regions and points for which gestures can be interpreted i.e. blind spots of the cameras of the gesture recognition system. Some examples of such blind spots include areas underneath the cameras and/or within 20-85 degrees of a tangential axis of the cameras. In particular, the technology disclosed uses a Fresnel prismatic element and/or a triangular prism element to redirect the optical axis of the cameras, giving the cameras fields of view that cover at least 45 to 80 degrees from tangential to the vertical axis of a display screen on which the cameras are mounted.

Enhanced field of view to augment three-dimensional (3D) sensory space for free-space gesture interpretation

During control of a user interface via free-space motions of a hand or other suitable control object, switching between control modes can be facilitated by tracking the control object's movements relative to, and its contact with a 'virtual touch plane or surface' (i.e., a plane, portion of a plane, and/or surface computationally defined in space, or corresponding to any physical surface).

Systems and methods of free-space gestural interaction

The technology disclosed relates to selecting among devices room to interact with. It also relates operating a smart phone with reduced power consumption. It further relates to gesturally interacting with devices that lack gestural responsiveness. The technology disclosed also relates to distinguishing control gestures from proximate non-control gestures in a pervasive three dimensional (3D) sensory space. The technology disclosed further relates to selecting among virtual interaction modalities to interact with.

Systems and methods of gestural interaction in a pervasive computing environment

The technology disclosed relates to determining positional information about an object of interest is provided. In particular, it includes, conducting scanning of a field of interest with an emission from a transmission area according to an ordered scan pattern. The emission can be received to form a signal based upon at least one salient property (e.g., intensity, amplitude, frequency, polarization, phase, or other detectable feature) of the emission varying with time at the object of interest. Synchronization information about the ordered scan pattern can be derived from a source, a second signal broadcast separately, social media share, others, or and/or combinations thereof). A correspondence between at least one characteristic of the signal and the synchronization information can be established. Positional information can be determined based at least in part upon the correspondence.

Determining positional information for an object in space

Machine responsiveness to dynamic user movements and gestures

Growing community of inventors

Foster City, CA, United States of America

Paul Durdik