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:
Aug. 23, 2022

Filed:

Dec. 10, 2020
Applicant:

Ubtech Robotics Corp Ltd, Shenzhen, CN;

Inventors:

Miaochen Guo, Shenzhen, CN;

Jingtao Zhang, Shenzhen, CN;

Shuping Hu, Shenzhen, CN;

Dong Wang, Shenzhen, CN;

Zaiwang Gu, Shenzhen, CN;

Jianxin Pang, Shenzhen, CN;

Youjun Xiong, Shenzhen, CN;

Assignee:

UBTECH ROBOTICS CORP LTD, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06V 40/20 (2022.01); G06T 7/73 (2017.01); H04N 1/60 (2006.01); G06T 5/00 (2006.01); G06T 7/90 (2017.01); G06T 7/64 (2017.01); G06V 10/22 (2022.01); G06V 10/56 (2022.01); G06V 20/40 (2022.01);
U.S. Cl.
CPC ...
G06V 40/28 (2022.01); G06K 9/6201 (2013.01); G06K 9/6217 (2013.01); G06T 5/002 (2013.01); G06T 7/64 (2017.01); G06T 7/73 (2017.01); G06T 7/90 (2017.01); G06V 10/22 (2022.01); G06V 10/56 (2022.01); G06V 20/41 (2022.01); G06V 20/46 (2022.01); H04N 1/6075 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20084 (2013.01);
Abstract

The present disclosure provides a gesture recognition method as well as a terminal device and a computer-readable storage medium using the same. The method includes: obtaining a video stream collected by an image recording device in real time; performing a hand recognition on the video stream to determine static gesture information of a recognized hand in each video frame of the video stream; encoding the static gesture information in the video frames of the video stream in sequence to obtain an encoded information sequence of the recognized hands; and performing a slide detection on the encoded information sequence using a preset sliding window to determine a dynamic gesture category of each recognized hand. In this manner, static gesture recognition and dynamic gesture recognition are effectively integrated in the same process. The dynamic gesture recognition is realized through the slide detection of the sliding window without complex network calculations.


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