health life sciences medicine
This is the keystroke dataset for the study titled 'High-accuracy detection of early Parkinson's Disease using multiple characteristics of finger movement while typing'. This research report is currently under review for publication by PLOS ONE. The dataset contains keystroke logs collected from over 200 subjects, with and without Parkinson's Disease (PD), as they typed normally on their own computer (without any supervision) over a period of weeks or months (having initially installed a custom keystroke recording app, Tappy). This dataset has been collected and analyzed in order to indicate that the routine interaction with computer keyboards can be used to detect changes in the characteristics of finger movement in the early stages of PD.
Not updated
Open Data Commons Attribution License v1.0
https://doi.org/10.13026/C2K08D
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Tappy Keystroke Data was accessed on DATE from https://registry.opendata.aws/tappy.
arn:aws:s3:::physionet-open/tappy/us-east-1aws s3 ls --no-sign-request s3://physionet-open/tappy/