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:
Mar. 07, 2023

Filed:

Mar. 12, 2021
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Baboo V. Gowreesunker, San Francisco, CA (US);

Behrooz Shahsavari, Hayward, CA (US);

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

Nima Ferdosi, San Jose, CA (US);

Lichen Wang, Sunnyvale, CA (US);

Nariman Farsad, Redwood City, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/041 (2006.01); G06F 3/044 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06F 3/04182 (2019.05); G06F 3/044 (2013.01); G06N 3/08 (2013.01); G06F 2203/04104 (2013.01);
Abstract

In some examples, touch data can include noise. Machine learning techniques, such as gated recurrent units and convolutional neural networks can be used to mitigate noise present in touch data. 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. The gated recurrent unit can remove noise caused by a first component of the electronic device and the convolutional neural network can remove noise caused by a second component of the electronic device, for example. Thus, together, the gated recurrent unit and the convolutional neural network can remove or substantially reduce the noise in the touch data.


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