UIC-2016-003 & 2016-114 – BiAffect: An App for Detecting Behavior through Keystroke Dynamics and Machine Learning

There is evidence of a strong correlation between keystroke dynamics and neurophysiological function. BiAffect is a smartphone application that monitors non-verbal speech using keyboard dynamics, meta-data, and related mobile sensor information to infer a user’s neuropsychological state. The application can also make inferences concerning a user’s neurocognitive functions and mood. It could be used to help predict neurological changes such as those associated with bipolar disorder, Alzheimer’s disease, and ADHD. Hyunjin Kim hkim227@otm.uic.edu 312355-7843

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