2022
Maria Papatsimouli; Konstantinos Kollias; Lazaros Lazaridis; George S Maraslidis; Heracles Michailidis; Panagiotis Sarigiannidis; George Fragulis
Real Time Sign Language Translation Systems: A review study Conference
2022, ISBN: 978-1-6654-6717-9.
Abstract | BibTeX | Tags: Application Program Interfaces, Handicapped aids, IoT, Sign Language, Sign Language Recognition | Links:
@conference{inproceedingse,
title = {Real Time Sign Language Translation Systems: A review study},
author = {Maria Papatsimouli and Konstantinos Kollias and Lazaros Lazaridis and George S Maraslidis and Heracles Michailidis and Panagiotis Sarigiannidis and George Fragulis},
url = {https://www.researchgate.net/publication/362331604_Real_Time_Sign_Language_Translation_Systems_A_review_study},
doi = {10.1109/MOCAST54814.2022.9837666},
isbn = {978-1-6654-6717-9},
year = {2022},
date = {2022-06-08},
pages = {1-4},
abstract = {There are people who cannot communicate in the same way with others. Deaf and hard-of-hearing people use sign languages for their communication with other people. Sign languages are also used for the communication between deaf and non-deaf people, including different types of hand gestures and facial expressions for communication and emotional expression. Sign language recognition and gesture-based controls are applications that are used by gesture recognition technologies, and it is a fact that this technology has reduced the communication gap, while these systems are used for converting gestures to text or speech. The focus of our research is to analyze real-time sign language translators that are used for language translation. Sign Language Translation Systems that were developed from 2017 to
2021 are analysed in this paper.},
keywords = {Application Program Interfaces, Handicapped aids, IoT, Sign Language, Sign Language Recognition},
pubstate = {published},
tppubtype = {conference}
}
There are people who cannot communicate in the same way with others. Deaf and hard-of-hearing people use sign languages for their communication with other people. Sign languages are also used for the communication between deaf and non-deaf people, including different types of hand gestures and facial expressions for communication and emotional expression. Sign language recognition and gesture-based controls are applications that are used by gesture recognition technologies, and it is a fact that this technology has reduced the communication gap, while these systems are used for converting gestures to text or speech. The focus of our research is to analyze real-time sign language translators that are used for language translation. Sign Language Translation Systems that were developed from 2017 to
2021 are analysed in this paper.
2021 are analysed in this paper.
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