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Hira Hameed

Dados Biográficos

ID9877035
NOMEHira Hameed
PRENOMESHira
SOBRENOMEHameed
ASSINATURAHAMEED H
AFILIAÇÕESUniversity of Glasgow
ORCID0000-0002-4199-4000
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2023
ANO MAIS RECENTE DE PUBLICAÇÃO2023
ÍNDICE H0
  • Recognizing British Sign Language Using Deep Learning

    Open Access•Hira Hameed, Muhammad Usman et al.•ARTICLE•IEEE Transactions on Computational…•2023

    Sign language is utilized by deaf-mute to communicate through hand movements, body postures, and facial emotions. The motions in sign language comprise a range of distinct hand and finger articulations that are occasionally synchronized with the head, face, and body. Automatic sign language recognition (SLR) is a highly challenging area and still remains in its infancy compared with speech recognition after almost three decades of research. Curre…

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  • Recognizing British Sign Language Using Deep Learning

    Open Access•Hira Hameed, Muhammad Usman et al.•ARTICLE•IEEE Transactions on Computational…•2023

    Sign language is utilized by deaf-mute to communicate through hand movements, body postures, and facial emotions. The motions in sign language comprise a range of distinct hand and finger articulations that are occasionally synchronized with the head, face, and body. Automatic sign language recognition (SLR) is a highly challenging area and still remains in its infancy compared with speech recognition after almost three decades of research. Curre…

Artificial Intelligence (1 obra) · Computer Science (1 obra) · Deep learning (1 obra) · Facial recognition system (1 obra) · Feature extraction (1 obra) · Gait Recognition and Analysis (1 obra) · Hand Gesture Recognition Systems (1 obra) · Hearing Impairment and Communication (1 obra) · Linguistics (1 obra) · Natural language processing (1 obra)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae