Cargando…
Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model
A real-time Bangla Sign Language interpreter can enable more than 200 k hearing and speech-impaired people to the mainstream workforce in Bangladesh. Bangla Sign Language (BdSL) recognition and detection is a challenging topic in computer vision and deep learning research because sign language recog...
Autores principales: | Podder, Kanchon Kanti, Chowdhury, Muhammad E. H., Tahir, Anas M., Mahbub, Zaid Bin, Khandakar, Amith, Hossain, Md Shafayet, Kadir, Muhammad Abdul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780505/ https://www.ncbi.nlm.nih.gov/pubmed/35062533 http://dx.doi.org/10.3390/s22020574 |
Ejemplares similares
-
BDSL 49: A comprehensive dataset of Bangla sign language
por: Hasib, Ayman, et al.
Publicado: (2023) -
BdSLW-11: Dataset of Bangladeshi sign language words for recognizing 11 daily useful BdSL words
por: Islam, Md. Monirul, et al.
Publicado: (2022) -
Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model
por: Podder, Kanchon Kanti, et al.
Publicado: (2023) -
QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model
por: Rahman, Tawsifur, et al.
Publicado: (2022) -
MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals
por: Hossain, Md Shafayet, et al.
Publicado: (2023)