Geodesic
Algorithms for determining the emotions of interest in students by facial expressions
Problemy fiziki, matematiki i tehniki, no. 2 (2021), pp. 98-104 Cet article a éte moissonné depuis la source Math-Net.Ru

Voir la notice de l'article

The developed algorithms for determining the emotions of interest in students by facial expressions using key points on the face image are presented. These algorithms allow organizing effective real-time control over the quality of the educational process in distance learning.
Keywords: algorithms, emotions, facial images, facial marks
Mots-clés : classifier. 
@article{PFMT_2021_2_a14,
     author = {S. V. Sadov and O. M. Demidenko and I. A. Yerafeyeu and V. S. Sadau},
     title = {Algorithms for determining the emotions of interest in students by facial expressions},
     journal = {Problemy fiziki, matematiki i tehniki},
     pages = {98--104},
     year = {2021},
     number = {2},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/PFMT_2021_2_a14/}
}
TY  - JOUR
AU  - S. V. Sadov
AU  - O. M. Demidenko
AU  - I. A. Yerafeyeu
AU  - V. S. Sadau
TI  - Algorithms for determining the emotions of interest in students by facial expressions
JO  - Problemy fiziki, matematiki i tehniki
PY  - 2021
SP  - 98
EP  - 104
IS  - 2
UR  - http://geodesic.mathdoc.fr/item/PFMT_2021_2_a14/
LA  - ru
ID  - PFMT_2021_2_a14
ER  - 
%0 Journal Article
%A S. V. Sadov
%A O. M. Demidenko
%A I. A. Yerafeyeu
%A V. S. Sadau
%T Algorithms for determining the emotions of interest in students by facial expressions
%J Problemy fiziki, matematiki i tehniki
%D 2021
%P 98-104
%N 2
%U http://geodesic.mathdoc.fr/item/PFMT_2021_2_a14/
%G ru
%F PFMT_2021_2_a14
S. V. Sadov; O. M. Demidenko; I. A. Yerafeyeu; V. S. Sadau. Algorithms for determining the emotions of interest in students by facial expressions. Problemy fiziki, matematiki i tehniki, no. 2 (2021), pp. 98-104. http://geodesic.mathdoc.fr/item/PFMT_2021_2_a14/

[1] R.V. Ginoyan, A.E. Khomutov, Fiziologiya emotsii, ucheb.-metod. posobie, Izd-vo Nizhegorodskogo gosuniversiteta, Nizhnii Novgorod, 2010, 66 pp.

[2] K.E. Izard, Psikhologiya emotsii, Piter, SPb., 2012, 464 pp.

[3] K.A. Renninger, R.H. Wozniak, “Effect of interest on attentional shift, recognition and recall in young children”, Developmental Psychology, 21:4 (1985), 624–632 | DOI

[4] Face recognition homepage, (Data dostupa: 04.05.2016) http://www.face-rec.org/databases

[5] Dlib C++ Library, (Data dostupa: 01.06.2021) http://dlib.net/

[6] Scikit-learn: machine learning in Python, (Data dostupa: 01.04.2021) https://scikit-learn.org/stable/index.html

[7] I. Rish, “An Empirical Study of the Naïve Bayes Classifier”, Work Empir Methods. – Artif Intell., IJCAI 2001