Usefulness of Keystroke Dynamics Features in User Authentication and Emotion Recognition - Publikacja - MOST Wiedzy

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Usefulness of Keystroke Dynamics Features in User Authentication and Emotion Recognition

Abstrakt

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. (2018). Usefulness of Keystroke Dynamics Features in User Authentication and Emotion Recognition, 551, 42-52. https://doi.org/10.1007/978-3-319-62120-3_4

Informacje szczegółowe

Kategoria:
Publikacja monograficzna
Typ:
rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Opublikowano w:
Advances in Intelligent Systems and Computing nr 551, strony 42 - 52,
ISSN: 2194-5357
Tytuł wydania:
Human-Computer Systems Interaction. Backgrounds and Applications 4 strony 42 - 52
Język:
angielski
Rok wydania:
2018
Opis bibliograficzny:
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

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