PROCESSING TRACKING AND RECOGNITION DATA IN GESTURAL RECOGNITION SYSTEMS

• US 20140240231A1
• Filed: 10/28/2013
• Published: 08/28/2014
• Est. Priority Date: 04/02/2009
• Status: Active Grant

• Current Assignee: Oblong Industries, Inc. (Oblong, Inc.)
• Original Assignee: Oblong Industries, Inc. (Oblong, Inc.)
• Inventors: MINNEN, David
• Granted Patent: US 10,642,364 B2
• Time in Patent Office: Days
• US Class Current: 345/158
• CPC Class Codes: G06F 3/005 Input arrangements through a video camera
• CPC Class Codes: G06F 3/011 Arrangements for interaction with the human body, e.g. for user immersion in virtual reality blind teaching G09B21/00
• CPC Class Codes: G06F 3/017 Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883
• CPC Class Codes: G06F 3/0325 using a plurality of light emitters or reflectors or a plurality of detectors forming a reference frame from which to derive the orientation of the object, e.g. by triangulation or on the basis of reference deformation in the picked up image
• CPC Class Codes: G06V 20/64 Three-dimensional objects
• CPC Class Codes: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
• CPC Class Codes: G06V 40/107 Static hand or arm
• CPC Class Codes: G06V 40/20 Movements or behaviour, e.g. gesture recognition recognition of facial expressions G06V40/16
• CPC Class Codes: H04N 7/15 Conference systems

Abstract

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.

Claims

1. A method comprising:

detecting poses and motion of an object;

translating the poses and motion into a control signal using a gesture notation; and

controlling a computer application using the control signal.

2. A method comprising:

automatically detecting a gesture of a body;

translating the gesture to a gesture signal; and

controlling a component coupled to a computer in response to the gesture signal.

3. A method comprising:

detecting an event of a source device;

generating at least one data sequence comprising device event data specifying the event and state information of the event, wherein the device event data and state information are type-specific data having a type corresponding to an application of the source device; and

forming a data capsule to include the at least one data sequence, the data capsule having a data structure comprising an application-independent representation of the at least one data sequence.