Limitations of Emotion Recognition from Facial Expressions in e-Learning Context

Agnieszka Landowska, Grzegorz Brodny, Michal R. Wrobel

2017

Abstract

The paper concerns technology of automatic emotion recognition applied in e-learning environment. During a study of e-learning process the authors applied facial expressions observation via multiple video cameras. Preliminary analysis of the facial expressions using automatic emotion recognition tools revealed several unexpected results, including unavailability of recognition due to face coverage and significant inconsistency between the results obtained from two cameras. The paper presents the experiment on e-learning process and summarizes the observations that constitute limitations of emotion recognition from facial expressions applied in e-learning context. The paper might be of interest to researchers and practitioners who consider automatic emotion recognition as an option in monitoring e-learning processes.

Paper Citation

in Harvard Style

Landowska A., Brodny G. and Wrobel M. (2017). Limitations of Emotion Recognition from Facial Expressions in e-Learning Context . In Proceedings of the 9th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-240-0, pages 383-389. DOI: 10.5220/0006357903830389

in Bibtex Style

@conference{csedu17,
author={Agnieszka Landowska and Grzegorz Brodny and Michal R. Wrobel},
title={Limitations of Emotion Recognition from Facial Expressions in e-Learning Context},
booktitle={Proceedings of the 9th International Conference on Computer Supported Education - Volume 2: CSEDU,},
year={2017},
pages={383-389},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006357903830389},
isbn={978-989-758-240-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - Limitations of Emotion Recognition from Facial Expressions in e-Learning Context
SN - 978-989-758-240-0
AU - Landowska A.
AU - Brodny G.
AU - Wrobel M.
PY - 2017
SP - 383
EP - 389
DO - 10.5220/0006357903830389