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Estimation of the User’s Emotional State by Keystroke Dynamics

by Rinky Solanki, Pragya Shukla
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 94 - Number 13
Year of Publication: 2014
Authors: Rinky Solanki, Pragya Shukla
10.5120/16403-6099

Rinky Solanki, Pragya Shukla . Estimation of the User’s Emotional State by Keystroke Dynamics. International Journal of Computer Applications. 94, 13 ( May 2014), 21-23. DOI=10.5120/16403-6099

@article{ 10.5120/16403-6099,
author = { Rinky Solanki, Pragya Shukla },
title = { Estimation of the User’s Emotional State by Keystroke Dynamics },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 94 },
number = { 13 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 21-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume94/number13/16403-6099/ },
doi = { 10.5120/16403-6099 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:17:33.458778+05:30
%A Rinky Solanki
%A Pragya Shukla
%T Estimation of the User’s Emotional State by Keystroke Dynamics
%J International Journal of Computer Applications
%@ 0975-8887
%V 94
%N 13
%P 21-23
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Emotions play a significant role in human computer interaction (HCI). Up to the present, different methods for emotion measurement have been developed like facial expression analysis, voice intonation analysis, thermal imaging etc. Our approach in this paper is to identify users' emotional state based on using standard keyboard. According to the proposed scenarios, emotional states investigated within this research include, but are not limited to, the following ones: confidence, sadness, happiness, tiredness, nervousness, anger.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Biometrics keystroke dynamics emotion recognition Human computer interaction

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