Less is More: Univariate Modelling to Detect Early Parkinson's Disease from Keystroke Dynamics

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Milne, Antony; Farrahi, Katayoun and Nicolaou, Mihalis. 2018. 'Less is More: Univariate Modelling to Detect Early Parkinson's Disease from Keystroke Dynamics'. In: Discovery Science 2018, LNCS Proceedings. Limassol, Cyprus October 29-31, 2018. [Conference or Workshop Item]

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Abstract or Description

We analyse keystroke hold times from typing logs to detect early signs of Parkinson’s disease. We develop a feature that captures the dynamic variation between consecutive keystrokes and demonstrate that it can be be used in a univariate model to perform classification with AUC=0.85 from only a few hundred keystrokes. This is a substantial improvement on the current baseline. We argue that previously proposed methods are based on overcomplicated models—our simpler method is not only more elegant and transparent but also more effective.

Item Type:

Conference or Workshop Item (Paper)

Identification Number (DOI):

https://doi.org/10.1007/978-3-030-01771-2_28