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:
Dec. 18, 2018
Filed:
Jan. 09, 2017
Online detection and classification of dynamic gestures with recurrent convolutional neural networks
Applicant:
Nvidia Corporation, Santa Clara, CA (US);
Inventors:
Pavlo Molchanov, San Jose, CA (US);
Xiaodong Yang, San Jose, CA (US);
Shalini De Mello, San Francisco, CA (US);
Kihwan Kim, Sunnyvale, CA (US);
Stephen Walter Tyree, St. Louis, MO (US);
Jan Kautz, Lexington, MA (US);
Assignee:
NVIDIA CORPORATION, Santa Clara, CA (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00355 (2013.01); G06K 9/6251 (2013.01); G06K 9/6256 (2013.01); G06K 9/6277 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01);
Abstract
A method, computer readable medium, and system are disclosed for detecting and classifying hand gestures. The method includes the steps of receiving an unsegmented stream of data associated with a hand gesture, extracting spatio-temporal features from the unsegmented stream by a three-dimensional convolutional neural network (3DCNN), and producing a class label for the hand gesture based on the spatio-temporal features.