Prediction of Students' Psychological States Based on Facial Expression Recognition Under the Influence of COVID-19

Huiling Liu, Peiyu Liu, Ran Lu, Shuqin Li

2022

Abstract

Affected by COVID-19, people have to face long-term and wide-ranging social group isolation. College students, as one of the important groups in society, have converted to online learning systems, which may lead to various psychological and emotional problems. Their mental health problems should be paid special attention to. In this article, we utilize facial expression recognition technology to predict students’ psychological problems during online learning, with the international Self-Rating Anxiety Scale (SAS) as an auxiliary prediction tool. Experimental results show that it is feasible to use facial expression recognition technology to predict students’ psychological problems. In the end, we gave intervention measures to students with different anxiety levels under the influence of the epidemic from a scientific perspective to help students adjust their mentality in time and return to normal study and life.

Paper Citation

in Harvard Style

Liu H., Liu P., Lu R. and Li S. (2022). Prediction of Students' Psychological States Based on Facial Expression Recognition Under the Influence of COVID-19. In Proceedings of the 2nd International Conference on New Media Development and Modernized Education - Volume 1: NMDME; ISBN 978-989-758-630-9, SciTePress, pages 235-243. DOI: 10.5220/0011909600003613

in Bibtex Style

@conference{nmdme22,
author={Huiling Liu and Peiyu Liu and Ran Lu and Shuqin Li},
title={Prediction of Students' Psychological States Based on Facial Expression Recognition Under the Influence of COVID-19},
booktitle={Proceedings of the 2nd International Conference on New Media Development and Modernized Education - Volume 1: NMDME},
year={2022},
pages={235-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011909600003613},
isbn={978-989-758-630-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on New Media Development and Modernized Education - Volume 1: NMDME
TI - Prediction of Students' Psychological States Based on Facial Expression Recognition Under the Influence of COVID-19
SN - 978-989-758-630-9
AU - Liu H.
AU - Liu P.
AU - Lu R.
AU - Li S.
PY - 2022
SP - 235
EP - 243
DO - 10.5220/0011909600003613
PB - SciTePress