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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.:

US 10846521 B1

PDFFull Text
Date of Patent:
Nov. 24, 2020

Filed:

Aug. 30, 2018

Gesture recognition system and gesture recognition method thereof

Applicant:

Kaikutek Inc., Taipei, TW;

Inventors:

Tsung-Ming Tai, New Taipei, TW;

Yun-Jie Jhang, Taoyuan, TW;

Wen-Jyi Hwang, Taipei, TW;

Chun-Hsuan Kuo, San Diego, CA (US);

Assignee:

KaiKuTek Inc., Taipei, TW;

Attorneys:

Hershkovitz & Associates, PLLC

Abe Hershkovitz

Primary Examiner:

Timothy X Pham

Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G01S 13/89 (2006.01); G01S 7/41 (2006.01); G06K 9/20 (2006.01); G06K 9/46 (2006.01); G06F 3/01 (2006.01); G06F 9/50 (2006.01); G01S 13/58 (2006.01); G01S 13/50 (2006.01); G01S 7/35 (2006.01); G06N 20/00 (2019.01); G06N 3/08 (2006.01); H03B 21/02 (2006.01); G06T 7/20 (2017.01); G06F 17/18 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00335 (2013.01); G01S 7/414 (2013.01); G01S 7/417 (2013.01); G01S 13/584 (2013.01); G01S 13/89 (2013.01); G06F 3/017 (2013.01); G06F 9/5027 (2013.01); G06F 17/18 (2013.01); G06K 9/2018 (2013.01); G06K 9/4628 (2013.01); G06K 9/6215 (2013.01); G06K 9/6256 (2013.01); G06K 9/6259 (2013.01); G06K 9/6262 (2013.01); G06K 9/6267 (2013.01); G06K 9/6271 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 7/20 (2013.01); H03B 21/02 (2013.01); G01S 7/415 (2013.01); G01S 13/50 (2013.01); G01S 2007/356 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20056 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A gesture recognition system executes a gesture recognition method which includes the following steps: receiving a sensing signal; selecting one of the sensing frames from the sensing signal; generating a sensing map by applying 2D FFT to the selected sensing frame; selecting a cell having a largest amplitude in the sensing map; calculating the velocity of the cell and setting the velocity of the selected sensing frame to be the velocity of the cell; labeling the selected sensing frame as a valid sensing frame if the velocity of the selected sensing frame exceeds a threshold value, otherwise labeling the selected sensing frame as an invalid sensing frame; using all of the sensing maps of the valid sensing frames in the sensing signal as the input data for the neural network of the gesture recognition system and accordingly performing gesture recognition and gesture event classification.

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