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. 29, 2023

Filed:

Oct. 30, 2020
Applicant:

Goertek Inc., Shandong, CN;

Inventors:

Libing Zou, Shandong, CN;

Yifan Zhang, Shandong, CN;

Fuqiang Zhang, Shandong, CN;

Xueqiang Wang, Shandong, CN;

Assignee:

GOERTEK INC., Shandong, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/0487 (2013.01); G06V 10/82 (2022.01); G06V 40/16 (2022.01); G06V 40/18 (2022.01); G06F 3/01 (2006.01); G06F 3/0354 (2013.01); G06F 3/038 (2013.01); G06F 3/14 (2006.01);
U.S. Cl.
CPC ...
G06F 3/0487 (2013.01); G06F 3/012 (2013.01); G06F 3/013 (2013.01); G06F 3/038 (2013.01); G06F 3/03543 (2013.01); G06F 3/1423 (2013.01); G06V 10/82 (2022.01); G06V 40/161 (2022.01); G06V 40/18 (2022.01);
Abstract

A multi-screen display system and a mouse switching control method are disclosed. The mouse switching control method is applied to a multi-screen display system comprising a main display screen and at least one extended display screen, and comprises: obtaining user images collected by cameras installed on the main display screen and the extended display screen respectively; inputting the user images into a neural network model, and predicting a screen that a user is currently paying attention to using the neural network model to obtain a prediction result; and controlling to switch a mouse to the screen that a user is currently paying attention to according to the prediction result. The system and mouse switching control method are based on self-learning of visual attention, predict the current screen operated by the user, automatically switch the mouse to the corresponding screen position, and improve the user experience.


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