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:
Feb. 13, 2024

Filed:

Dec. 15, 2020
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Hojjat Seyed Mousavi, Santa Clara, CA (US);

Nima Ferdosi, San Jose, CA (US);

Baboo V. Gowreesunker, Mountain View, CA (US);

Behrooz Shahsavari, Hayward, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/041 (2006.01); G06N 3/08 (2023.01); G06F 18/25 (2023.01);
U.S. Cl.
CPC ...
G06F 3/0418 (2013.01); G06F 18/251 (2023.01); G06N 3/08 (2013.01);
Abstract

In some examples, touch data can include noise. The noise can be generated by a component of an electronic device that includes a touch screen. For example, one or more signals transmitted to the display circuitry of an electronic device can become capacitively coupled to the touch circuitry of the device and cause noise in the touch data. Machine learning techniques, such as gated recurrent units and/or convolutional neural networks can estimate and reduce or remove noise from touch data when provided data or information about the displayed image as input. In some examples, the algorithm includes one or more of a gated recurrent unit stage and a convolutional neural network stage. In some examples, a gated recurrent unit stage and a convolutional neural network stage can be arranged in series, such as by providing the output of the gated recurrent unit as input to the convolutional neural network.


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