Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Oussama El Ghoul"'
Publikováno v:
IEEE Access, Vol 12, Pp 78624-78640 (2024)
Deaf and Hard of Hearing (DHH) individuals often encounter significant challenges in communication and accessing digital content, with Sign Language as their primary mode of communication. Traditional Sign Language interpretation services and existin
Externí odkaz:
https://doaj.org/article/eba68ef2eaf0424ab6d15640518daab1
Publikováno v:
Data in Brief, Vol 51, Iss , Pp 109770- (2023)
Nowadays, surface electromyography (sEMG) is evolving as a technology for hand gesture recognition. Detailed studies have revealed the capacity of EMG signals to access detailed information, particularly in the classification of hand gestures. Indeed
Externí odkaz:
https://doaj.org/article/fd5f58606312493885e8255b4e9db9ce
Publikováno v:
IEEE Access, Vol 11, Pp 112639-112649 (2023)
This paper proposes the first large-scale and annotated Qatari sign language dataset for continuous sign language processing. This dataset focuses on phrases and sentences commonly used in healthcare settings and contains 6300 records of 900 sentence
Externí odkaz:
https://doaj.org/article/b07841ec610e471694726eb9ac33b0f5
Publikováno v:
Sensors, Vol 23, Iss 19, p 8343 (2023)
The analysis and recognition of sign languages are currently active fields of research focused on sign recognition. Various approaches differ in terms of analysis methods and the devices used for sign acquisition. Traditional methods rely on video an
Externí odkaz:
https://doaj.org/article/b0153b2f274a4879bde74df1312adefc
Publikováno v:
Applied Sciences, Vol 12, Iss 17, p 8898 (2022)
Automatic Speech Recognition (ASR), also known as Speech-To-Text (STT) or computer speech recognition, has been an active field of research recently. This study aims to chart this field by performing a Systematic Literature Review (SLR) to give insig
Externí odkaz:
https://doaj.org/article/d2e6c13d328f43c28bef4eff268ec3f6
Publikováno v:
2022 IEEE Information Technologies & Smart Industrial Systems (ITSIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c505e866c2e46150549cca2bb36635d1
https://doi.org/10.1109/itsis56166.2022.10118359
https://doi.org/10.1109/itsis56166.2022.10118359
Autor:
Sammy Sedrati, Oussama El Ghoul
Publikováno v:
Nafath. 7
Sign language (SL) is a visual language with a syntactic system different from spoken language and is used by deaf and hearing-impaired individuals as primary mean of communication. The lack of translated information to sign language, especially in w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbfddf3d082dd30c57cb670d12224b48
https://doi.org/10.54455/mcn.20.04
https://doi.org/10.54455/mcn.20.04
Autor:
Achraf Othman, Oussama El Ghoul
Publikováno v:
Nafath. 7
As well as all spoken languages, Sign Languages SL have a structured grammar and syntax. Despite that it was visual, multi-dimensional and mainly based on gestures, SL follows specifics grammatical rules. Consequently, the automatic generation of sig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d918ff13e6c08e172abf46b455fe089
https://doi.org/10.54455/mcn.20.01
https://doi.org/10.54455/mcn.20.01
Autor:
Achraf Othman, Oussama El Ghoul
Publikováno v:
Nafath. 7
This paper describes an ongoing project on developing a new web-based tool for annotating Sign languages. This tool is used to annotate the First Qatari Sign Language dataset called Jumla Dataset: The Jumla Qatari Sign Language Corpus” with written
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43f3fd2a84b22ec2789f77029e9f422f
https://doi.org/10.54455/mcn.20.06
https://doi.org/10.54455/mcn.20.06
Autor:
Oussama El Ghoul, Achraf Othman
Publikováno v:
2022 IEEE Global Engineering Education Conference (EDUCON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64dc701ca15e44f5375bcd404dee878a
https://doi.org/10.1109/educon52537.2022.9766692
https://doi.org/10.1109/educon52537.2022.9766692