The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Feb. 23, 2010
Filed:
Dec. 02, 2008
Charles J. Cohen, Ann Arbor, MI (US);
Glenn J. Beach, Grass Lake, MI (US);
Brook Cavell, Ann Arbor, MI (US);
Eugene Foulk, Ann Arbor, MI (US);
Charles J. Jacobus, Ann Arbor, MI (US);
Jay Obermark, Ann Arbor, MI (US);
George V. Paul, Belleville, MI (US);
Charles J. Cohen, Ann Arbor, MI (US);
Glenn J. Beach, Grass Lake, MI (US);
Brook Cavell, Ann Arbor, MI (US);
Eugene Foulk, Ann Arbor, MI (US);
Charles J. Jacobus, Ann Arbor, MI (US);
Jay Obermark, Ann Arbor, MI (US);
George V. Paul, Belleville, MI (US);
Cybernet Systems Corporation, Ann Arbor, MI (US);
Abstract
A gesture recognition interface for use in controlling self-service machines and other devices is disclosed. A gesture is defined as motions and kinematic poses generated by humans, animals, or machines. Specific body features are tracked, and static and motion gestures are interpreted. Motion gestures are defined as a family of parametrically delimited oscillatory motions, modeled as a linear-in-parameters dynamic system with added geometric constraints to allow for real-time recognition using a small amount of memory and processing time. A linear least squares method is preferably used to determine the parameters which represent each gesture. Feature position measure is used in conjunction with a bank of predictor bins seeded with the gesture parameters, and the system determines which bin best fits the observed motion. Recognizing static pose gestures is preferably performed by localizing the body/object from the rest of the image, describing that object, and identifying that description. The disclosure details methods for gesture recognition, as well as the overall architecture for using gesture recognition to control of devices, including self-service machines.