US 11,899,881 B2 · Machine learning method and system for suppressing display induced noise in touch sensors using information from display circuitry

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.

Claims24

Dependent claims

A method comprising:

at an electronic device including a touch screen:
obtaining first touch data, sensed using one or more touch sensing electrodes of the touch screen, wherein the first touch data includes data representing noise;
inputting, to a machine learning algorithm that includes a gated recurrent unit having one or more channels, one or more vectors of image data associated with an image displayed at a same time the first touch data was obtained, the one or more vectors of image data equal in number to the one or more touch sensing electrodes arranged along a same dimension, wherein an input to each of the one or more channels of the gated recurrent unit is one of the one or more vectors of image data;
obtaining estimated noise by estimating, via the machine learning algorithm, the noise based on the image data;
and
removing the estimated noise from the first touch data to obtain second touch data.

3 more elements

An electronic device comprising:

a touch screen;
and
one or more processors storing instructions that, when executed, cause the electronic device to perform a method comprising:
obtaining first touch data, sensed using one or more touch sensing electrodes of the touch screen, wherein the first touch data includes data representing noise;
inputting, to a machine learning algorithm that includes a gated recurrent unit having one or more channels, one or more vectors of image data associated with an image displayed at a same time the first touch data was obtained, the one or more vectors of image data equal in number to the one or more touch sensing electrodes arranged along a same dimension, wherein an input to each of the one or more channels of the gated recurrent unit is one of the one or more vectors of image data;
obtaining estimated noise by estimating, via the machine learning algorithm, the noise based on the image data;
and
removing the estimated noise from the first touch data to obtain second touch data.

5 more elements

A non-transitory computer-readable medium comprising instructions that, when executed by one or more processors of an electronic device comprising a touch screen, cause the electronic device to perform a method comprising:

obtaining first touch data, sensed using one or more touch sensing electrodes of the touch screen, wherein the first touch data includes data representing noise;
inputting, to a machine learning algorithm that includes a gated recurrent unit having one or more channels, one or more vectors of image data associated with an image displayed at a same time the first touch data was obtained, the one or more vectors of image data equal in number to the one or more touch sensing electrodes arranged along a same dimension, wherein an input to each of the one or more channels of the gated recurrent unit is one of the one or more vectors of image data;
obtaining estimated noise by estimating, via the machine learning algorithm, the noise based on the image data;
and
removing the estimated noise from the first touch data to obtain second touch data.

2 more elements

Dependencies are inferred from the claim text.

Machine learning method and system for suppressing display induced noise in touch sensors using information from display circuitry

Life of this patent

Machine learning method and system for suppressing display induced noise in touch sensors using information from display circuitry

Life of this patent

Abstract

Claims24