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.

Date of Patent:
Nov. 20, 2018

Filed:

Jul. 17, 2017
Applicant:

University of Central Florida Research Foundation, Inc., Orlando, FL (US);

Inventors:

Eugene M. Taranta, II, Casselberry, FL (US);

Mehran Maghoumi, Oviedo, FL (US);

Corey Pittman, Palm Bay, FL (US);

Joseph J. LaViola, Jr., Oviedo, FL (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/22 (2006.01); G06F 3/0488 (2013.01); G06F 17/16 (2006.01); G06F 17/18 (2006.01);
U.S. Cl.
CPC ...
G06K 9/222 (2013.01); G06F 3/04883 (2013.01); G06F 17/16 (2013.01); G06F 17/18 (2013.01);
Abstract

A method of generating synthetic data from time series data, such as from handwritten characters, words, sentences, mathematics, and sketches that are drawn with a stylus on an interactive display or with a finger on a touch device. This computationally efficient method is able to generate realistic variations of a given sample. In a handwriting or sketch recognition context, synthetic data is generated from real data in order to train recognizers and thus improve recognition accuracy when only a limited number of samples are available. Similarly, synthetic data can also be used to test and validate such recognizers. Also discussed is a dynamic time warping based approach for both segmented and continuous data that is designed to be a robust, go-to method for gesture recognition across a variety of modalities using only limited training samples.


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