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Re:Ctrl-labs’ armband lets you control computer cursors with... by yorwba on Sunday June 17, 2018 @08:20AM (#17332062)
When I read that section followed by "He chalked it up to the demo’s generalized machine learning model." I also got doubtful, but then the second demo seems to indicate that they can drastically improve the results by adapting the model to the user.

In machine learning terms, it seems that they can manage supervised learning (given a known task, they can figure out how signals correspond to movements) but not unsupervised learning (given a new user's signals, they can't decode them without knowing what the user is trying to do).

So I can imagine this working if new users first had to complete a short initialization sequence (maybe gamified in some way) but could then use it without errors more common than typos when using a keyboard.

Re:Ctrl-labs’ armband lets you control computer cursors with... by krona on Sunday June 17, 2018 @08:36AM (#17332095)
One would presume they have data collected from more than one individual to train their model.
Re:Ctrl-labs’ armband lets you control computer cursors with... by yorwba on Sunday June 17, 2018 @10:19AM (#17332460)
The situation could be similar to accents in speech recognition, where you need some form of speaker adaptation. You would obviously use data from more than one individual to train a model that adapts automatically, but that adaptation will still take a little time.