Continuous Sign Language Recognition and Its Translation into Intonation-Colored Speech
Author:
Affiliation:
1. Faculty of Information Technologies, L.N. Gumilyov Eurasian National University, Astana 010000, Kazakhstan
2. Department of Computer Science, Lublin University of Technology, 36B Nadbystrzycka Str., 20-618 Lublin, Poland
Abstract
Funder
Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Link
https://www.mdpi.com/1424-8220/23/14/6383/pdf
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3. Amin, M.S., Rizvi, S.T.H., and Hossain, M. (2022). A Comparative Review on Applications of Different Sensors for Sign Language Recognition. J. Imaging, 8.
4. Technological Solutions for Sign Language Recognition: A Scoping Review of Research Trends, Challenges, and Opportunities;Joksimoski;IEEE Access,2022
5. Sosa-Jimenez, C.O., Rios-Figueroa, H.V., Rechy-Ramirez, E.J., Marin-Hernandez, A., and Gonzalez-Cosio AL, S. (2017, January 8–10). Real-time Mexican Sign Language recognition. Proceedings of the 2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017, Ixtapa, Mexico.
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