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Articles by keyword emotion recognition
Detection of anthropometric face points based on deep learning methods to recognize emotions

O.V. Melnik – Dr. Sc. (Eng.), Professor, Department “Information-Measuring and Biomedical Engineering”,  Ryazan State Radio Engineering University n.a. acad. V.F. Utkin

E-mail: omela111@yandex.ru

V.A. Sablina – Ph.D. (Eng.), Associate Professor, Department “Electronic Computing Machines”,  Ryazan State Radio Engineering University n.a. acad. V.F. Utkin

E-mail: flyingvictory@mail.ru

A.V. Savin – Post-graduate Student, Department “Electronic Computing Machines”, 

Ryazan State Radio Engineering University n.a. acad. V.F. Utkin

E-mail: savin.alex@mail.ru

A.B. Borschev – Undergraduate, Department “Electronic Computing Machines”, 

Ryazan State Radio Engineering University n.a. acad. V.F. Utkin

Development of neural network algorithm for emotion recognition on facial image

O.A. Stepanova – Post-graduate Student, Infocommunication and Radiophysics Department, 

P.G. Demidov Yaroslavl State University E-mail: olga1stepanova@yandex.ru

L.I. Ivanovsky – Post-graduate Student, Computer Network Department, 

P.G. Demidov Yaroslavl State University E-mail: leonel-unknown@yandex.ru

V.V. Khryashchev – Ph.D. (Eng.), Infocommunication and Radiophysics Department,  P.G. Demidov Yaroslavl State University

E-mail: vhr@yandex.ru

A.L. Priorov – Dr.Sc. (Eng.), Infocommunication and Radiophysics Department, 

P.G. Demidov Yaroslavl State University

E-mail: andcat@yandex.ru

An application of the FHOOF feature descriptor for micro-facial movement detection

O.V. Melnik1, V.A. Sablina2, A.D. Chernenko3

1–3 Ryazan State Radio Engineering University named after V.F. Utkina (Ryazan, Russia)

A software package for the investigation of spatio-temporal feature descriptors

O.V. Melnik1, V.A. Sablina2, A.D. Chernenko3

1–3 FSBEI HE Ryazan State Radio Engineering University named after V.F. Utkin (Ryazan, Russia)

1 omela111@yandex.ru, 2 sablina.v.a@evm.rsreu.ru, 3 anuta201294@yandex.ru

Machine learning model for musical emotion classification in recommender systems

D.V. Plaksin1, T.E. Badokina2, E.V. Shchennikova3

1–3 Federal State Budgetary Educational Institution of Higher Education “National Research Mordovia State University” (Saransk, Russia)
1dmitriy.plaksin1@yandex.ru; 2badokinate@math.mrsu.ru; 3schennikova8000@yandex.ru

An investigation of the possibilities of the facial expressions datasets creation using listening to music

O.V. Melnik1, V.A. Sablina2, N.V. Yakovlev3

1–3 FSBEI HE “Ryazan State Radio Engineering University named after V.F. Utkin” (Ryazan, Russia)

1 omela111@yandex.ru, 2 sablina.v.a@evm.rsreu.ru, 3 nikgutendorf@gmail.com