Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
Development of a software module for recognizing the fingerspelling of the Russian Sign Language based on LSTM. / Grif, M. G.; Kondratenko, Y. K.
в: Journal of Physics: Conference Series, Том 2032, № 1, 012024, 18.10.2021.Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
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TY - JOUR
T1 - Development of a software module for recognizing the fingerspelling of the Russian Sign Language based on LSTM
AU - Grif, M. G.
AU - Kondratenko, Y. K.
N1 - Publisher Copyright: © 2021 Institute of Physics Publishing. All rights reserved.
PY - 2021/10/18
Y1 - 2021/10/18
N2 - Russian Sign Language is a natural language that serves as a means of communication for people with hearing impairments. Currently, it is necessary to provide communication paths between hearing and deaf people, which requires the solution of several specific problems, one of which is gesture recognition. The paper presents a system for recognizing isolated static and dynamic gestures of the dactyl alphabet of the Russian Sign Language. The system is based on machine learning methods and is an LSTM with Mediapipe Hands as feature extractor. The network showed an F-measure value of 91% on test data.
AB - Russian Sign Language is a natural language that serves as a means of communication for people with hearing impairments. Currently, it is necessary to provide communication paths between hearing and deaf people, which requires the solution of several specific problems, one of which is gesture recognition. The paper presents a system for recognizing isolated static and dynamic gestures of the dactyl alphabet of the Russian Sign Language. The system is based on machine learning methods and is an LSTM with Mediapipe Hands as feature extractor. The network showed an F-measure value of 91% on test data.
UR - http://www.scopus.com/inward/record.url?scp=85118462854&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/2032/1/012024
DO - 10.1088/1742-6596/2032/1/012024
M3 - Conference article
AN - SCOPUS:85118462854
VL - 2032
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 1
M1 - 012024
T2 - 2021 International Conference on IT in Business and Industry, ITBI 2021
Y2 - 12 May 2021 through 14 May 2021
ER -
ID: 92214260