mlsanityData to 7 Oct 2026

Keystroke Dynamics as Part of Lifelogging

arXiv 2010.10144 ↗First posted 20 Oct 2020cs.MM cs.HCcited by 334

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Abstract (arXiv)

In this paper we present the case for including keystroke dynamics in lifelogging. We describe how we have used a simple keystroke logging application called Loggerman, to create a dataset of longitudinal keystroke timing data spanning a period of more than 6 months for 4 participants. We perform a detailed analysis of this data by examining the timing information associated with bigrams or pairs of adjacently-typed alphabetic characters. We show how there is very little day-on-day variation of the keystroke timing among the top-200 bigrams for some participants and for others there is a lot and this correlates with the amount of typing each would do on a daily basis. We explore how daily variations could correlate with sleep score from the previous night but find no significant relation-ship between the two. Finally we describe the public release of this data as well including as a series of pointers for future work including correlating keystroke dynamics with mood and fatigue during the day.

Key facts. Cited by 334 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Oct 2020.

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Citing papers per year: 2021: 45; 2022: 64; 2023: 70; 2024: 73; 2025: 59; 2026: 23.

334 papers.

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