The iPhone app that can tell if you're depressed - just by tracking your typing

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Jacob Black
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The iPhone app that can tell if you're depressed - just by tracking your typing

Postby Jacob Black » 20 Jun 2017 09:42

BiAffect uses a DeepMood architecture that allows the app to analyze keystroke dynamics data in order to infer the user's mood state using state of the art recurrent neural network (RNN) algorithms.
The team, in collaboration with Kelly Ryan, clinical assistant professor of psychiatry at the University of Michigan, had recently completed a pilot study of 30 participants that showed altered keystroke dynamics correlated with depressive and manic episodes in people with bipolar disorder.

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During a manic episode, people with bipolar disorder exhibit some common behaviors, such as talking really, really fast, with diminished self-control and flight of ideas,' Leow said. 'It is thus natural that they also exhibit similar abnormalities in nonverbal communications that are typed on their phones.'
Spell-check requires the smartphone user to pause and determine whether to edit or accept suggestions made by auto-correct rather than to simply keep typing.
'People in the midst of a manic episode commonly have reduced impulse control, so it is not surprising that our pilot data supported that they tend to blow through the spell-check alerts,' Leow said.
During depressive episodes, typing a long message may become laborious and messages tend to be shorter, she continued.
'Unobtrusively monitoring health from an iPhone combines low-cost scalability with far-reaching impact to potentially improve the lives of millions of people,' said Nelson.

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ParkPrince
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Joined: 26 Jun 2017 14:23
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Re: The iPhone app that can tell if you're depressed - just by tracking your typing

Postby ParkPrince » 26 Jun 2017 14:55

Wow, that's amazing


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