Oblong Industries, Inc.

David Minnen

Paul Yarin

Systems and methods are described for detecting an event of a source device, and generating at least one data sequence comprising device event data specifying the event and state information of the event. The device event data and state information are type-specific data having a type corresponding to an application of the source device. A data capsule is formed to include the at least one data sequence. The data capsule has a data structure comprising an application-independent representation of the at least one data sequence. The systems and methods detect poses and motion of an object, translate the poses and motion into a control signal using a gesture notation, and control a computer application using the control signal. The systems and methods automatically detect a gesture of a body, translate the gesture to a gesture signal, and control a component coupled to a computer in response to the gesture signal.

Processing tracking and recognition data in gestural recognition systems

Embodiments described herein includes a system comprising a processor coupled to display devices, sensors, remote client devices, and computer applications. The computer applications orchestrate content of the remote client devices simultaneously across the display devices and the remote client devices, and allow simultaneous control of the display devices. The simultaneous control includes automatically detecting a gesture of at least one object from gesture data received via the sensors. The detecting comprises identifying the gesture using only the gesture data. The computer applications translate the gesture to a gesture signal, and control the display devices in response to the gesture signal.

Visual collaboration interface

Remote devices used in a markerless installation of a spatial operating environment incorporating gestural control

Systems and methods for initializing real-time, vision-based hand tracking systems are described. The systems and methods for initializing the vision-based hand tracking systems image a body and receive gesture data that is absolute three-space data of an instantaneous state of the body at a point in time and space, and at least one of determine an orientation of the body using an appendage of the body and track the body using at least one of the orientation and the gesture data.

Fast fingertip detection for initializing a vision-based hand tracker

Embodiments include vision-based interfaces performing hand or object tracking and shape recognition. The vision-based interface receives data from a sensor, and the data corresponds to an object detected by the sensor. The interface generates images from each frame of the data, and the images represent numerous resolutions. The interface detects blobs in the images and tracks the object by associating the blobs with tracks of the object. The interface detects a pose of the object by classifying each blob as corresponding to one of a number of object shapes. The interface controls a gestural interface in response to the pose and the tracks.

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Santa Monica, CA, United States of America

David Minnen