@inbook{08e24554fa3246159b3ed9775ae4bdb7,
title = "Towards Ecological Tunisian Sign Language Recognition System",
abstract = "The Deaf and Hard of Hearing community relies heavily on sign language as a mode of communication since it connects them to the hearing world. The distance between these two communities is being closed, thanks in large part to the use of autonomous sign language recognition devices. This paper investigates innovative techniques to offer an autonomous and ecological Tunisian sign language recognition system (AETSLRS). This system is carefully constructed to function well in real-world circumstances based on efficient vision-based techniques that are proven compared to existing works. The potential advantages and difficulties of this work are examined in this study to pave the way for a more sustainable future.",
author = "Sana Fakhfakh and Jemaa, \{Yousra Ben\}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.",
year = "2024",
doi = "10.1007/978-3-031-57840-3\_33",
language = "English",
series = "Lecture Notes on Data Engineering and Communications Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "362--371",
booktitle = "Lecture Notes on Data Engineering and Communications Technologies",
address = "Germany",
}