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AssigneeApple Inc.
InventorsBaboo V. Gowreesunker, Behrooz Shahsavari, Hojjat Seyed Mousavi, Nima Ferdosi, Lichen Wang, Nariman Farsad
Estimating the term…
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.
An electronic device, comprising:
A method, implemented by one or more processors executing software, comprising:
A non-transitory computer-readable medium comprising software instructions that, when executed by one or more processors of an electronic device comprising a touch screen, cause the electronic device to:
Dependencies are inferred from the claim text.