@inproceedings{4d96154e24b44664bab1440a3a802d6d,
title = "Analysis of keystroke dynamics for fatigue recognition",
abstract = "The paper analyses the problem of fatigue recognition using keystroke dynamics data. Keystroke dynamics provides the time data of key typing events (press-press, press-release, release-press and release-release time). We propose using statistical features and k-Nearest Neighbour (KNN) classifier to discriminate between different consecutive key typing sessions. The presented approach allows to recognize the state of increased fatigue with an accuracy of 91\% (using key release-release data).",
keywords = "Fatigue recognition, Keystroke dynamics, Typing behaviour",
author = "Mindaugas Ulinskas and Marcin Wo{\'z}niak and Robertas Dama{\v s}evi{\v c}ius",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 17th International Conference on Computational Science and Its Applications, ICCSA 2017 ; Conference date: 03-07-2017 Through 06-07-2017",
year = "2017",
doi = "10.1007/978-3-319-62404-4\_18",
language = "English",
isbn = "9783319624037",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "235--247",
editor = "Rocha, \{Ana Maria A.C.\} and Elena Stankova and Sanjay Misra and Giuseppe Borruso and Alfredo Cuzzocrea and David Taniar and Osvaldo Gervasi and Beniamino Murgante and Torre, \{Carmelo M.\} and Apduhan, \{Bernady O.\}",
booktitle = "Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017",
address = "Germany",
}