A review of emotion recognition methods based on keystroke dynamics and mouse movements

Agata Kołakowska

doi:10.1109/hsi.2013.6577879

A review of emotion recognition methods based on keystroke dynamics and mouse movements

Abstract

The paper describes the approach based on using standard input devices, such as keyboard and mouse, as sources of data for the recognition of users’ emotional states. A number of systems applying this idea have been presented focusing on three categories of research problems, i.e. collecting and labeling training data, extracting features and training classifiers of emotions. Moreover the advantages and examples of combining standard input devices with other sources of information on human emotions have been also described. Eventually some conclusions from the review have been drawn.

Citations

7 4

CrossRef
0

Web of Science
9 9

Scopus

Author (1)

Agata Kołakowska dr inż.

Cite as

Full text

full text is not available in portal

full content of the article see on external site open in new tab

Keywords

Details

Category:: Conference activity
Type:: materiały konferencyjne indeksowane w Web of Science
Title of issue:: The 6th International Conference on Human System Interaction (HSI), 2013 strony 548 - 555
Language:: English
Publication year:: 2013
Bibliographic description:: Kołakowska A..: A review of emotion recognition methods based on keystroke dynamics and mouse movements, W: The 6th International Conference on Human System Interaction (HSI), 2013, 2013, IEEE,.
DOI:: Digital Object Identifier (open in new tab) 10.1109/hsi.2013.6577879
Verified by:: Gdańsk University of Technology