公开(公告)号：US11954288B1

公开(公告)日：2024-04-09

申请号：US17406990

申请日：2021-08-19

Applicant: Apple Inc.

Inventor： Lichen Wang ,  Behrooz Shahsavari ,  Hojjat Seyed Mousavi ,  Nima Ferdosi ,  Baboo V. Gowreesunker

IPC: G06F3/041 ,  G06F3/044 ,  G06N3/044 ,  G06N3/08

CPC classification number: G06F3/04182 ,  G06F3/044 ,  G06N3/044 ,  G06N3/08 ,  G06F2203/04104

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.

公开(公告)号：US11599223B1

公开(公告)日：2023-03-07

申请号：US17249791

申请日：2021-03-12

Applicant: Apple Inc.

Inventor： Baboo V. Gowreesunker ,  Behrooz Shahsavari ,  Hojjat Seyed Mousavi ,  Nima Ferdosi ,  Lichen Wang ,  Nariman Farsad

IPC: G06F3/041 ,  G06F3/044 ,  G06N3/08

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.