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:
Apr. 14, 2020

Filed:

Jun. 05, 2019
Applicant:

Nex Team, Inc., San Jose, CA (US);

Inventors:

Wang Fai Ng, Hong Kong, HK;

Wing Hung Chan, Hong Kong, HK;

Long Mak, Hong Kong, HK;

Keng Fai Lee, Cupertino, CA (US);

On Loy Sung, Hong Kong, HK;

Assignee:

NEX Team Inc., San Jose, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/01 (2006.01); G06K 9/00 (2006.01); G06F 3/0481 (2013.01); G06T 7/73 (2017.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06F 3/017 (2013.01); G06F 3/04812 (2013.01); G06F 3/04815 (2013.01); G06K 9/00355 (2013.01); G06N 3/08 (2013.01); G06T 7/73 (2017.01);
Abstract

Methods and systems for mobile device-based touchless control can include receiving an image of a user and applying a convolutional neural network to the image to determine a feature map. Further, a key-points map and an affinity-field map can be determined based on the feature map, and the pose of the user can be determined based on the maps. The methods and system further include identifying an activation gesture of the user and determining a validity of a bounding box associated with the pose of the user, and tracking the pose of the user and a portion of a body of the user for performing the touchless control. Further, the methods and systems include determining a mapping between the portion of the user's body and a cursor position associated with an application, and moving the cursor position to enable touchless user interaction. Embodiments use computer vision techniques to enable a resource-limited mobile device to conduct the aforementioned steps.


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