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.