Usefulness of Keystroke Dynamics Features in User Authentication and Emotion Recognition

Agata Kołakowska

doi:10.1007/978-3-319-62120-3_4

Usefulness of Keystroke Dynamics Features in User Authentication and Emotion Recognition

Abstract

The study presented in the article focuses on keystroke dynamics analysis applied to recognize emotional states and to authenticate users. An overview of some studies and applications in these areas is presented. Then, an experiment is described, i.e. the way of collecting data, extracting features, training classifiers and finding out the most appropriate feature subsets. The results show that it is difficult to indicate a universal sets of features for the defined tasks and the best idea is to individually adapt models to users.

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Agata Kołakowska dr inż.

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Category:: Monographic publication
Type:: rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Published in:: Advances in Intelligent Systems and Computing no. 551, pages 42 - 52,
ISSN: 2194-5357
Title of issue:: Human-Computer Systems Interaction. Backgrounds and Applications 4 strony 42 - 52
Language:: English
Publication year:: 2018
Bibliographic description:: Kołakowska A.: Usefulness of Keystroke Dynamics Features in User Authentication and Emotion Recognition// Human-Computer Systems Interaction. Backgrounds and Applications 4/ ed. Hippe Z., Kulikowski J., Mroczek T. : Springer, 2018, s.42-52
DOI:: Digital Object Identifier (open in new tab) 10.1007/978-3-319-62120-3_4
Verified by:: Gdańsk University of Technology