Methods and systems for predicting keystrokes using a unified neural network

A method of predicting keystrokes, the method comprising:

• receiving, by a device, a keystroke from a user;
• generating, by the device, a keystroke log, wherein the keystroke is stored in the keystroke log;
• training an unified neural network based on data stored in the keystroke log to enable the unified neural network to learn known features and unknown features;
• and
• predicting, by the unified neural network in the device, a predicted keystroke based on the known features and the unknown features.

A device for predicting keystrokes comprising:

• a memory storing computer-readable instructions;
• and
• a processor, the processor when executing the computer-readable instructions configured to:
• obtain aggregated data representing a cumulative impact of a plurality of factors affecting a typing behavior of a user, on receiving a keystroke from the user;
• extract a plurality of features from the aggregated data;
• determine a plurality of feature vectors from the plurality of features;
• and
• predict, by a unified neural network in the device, a predicted key, based on a probability of the user intending to press the predicted key determined from the plurality of feature vectors.