A better mousetrap?
So Markov chains provide a good model for next-symbol probability, and touchscreens are amazingly shonky at working out what you really just typed. Is anyone using a Markov chain to interpret the raw data from the users fat, mashy finger and determine what they really meant to press? A second-order chain ought to be enough to pick out half a dozen likely candidate letters, most of which won't be in the area of the press.
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