Novel Spatio-Temporal Continuous Sign Language Recognition Using an Attentive Multi-Feature Network

Given video streams, we aim to correctly detect unsegmented signs related to continuous sign language recognition (CSLR). Despite the increase in proposed deep learning methods in this area, most of them mainly focus on using only an RGB feature, either the full-frame image or details of hands and f...

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Detalles Bibliográficos
Autores principales: Aditya, Wisnu, Shih, Timothy K., Thaipisutikul, Tipajin, Fitriajie, Arda Satata, Gochoo, Munkhjargal, Utaminingrum, Fitri, Lin, Chih-Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460873/
https://www.ncbi.nlm.nih.gov/pubmed/36080911
http://dx.doi.org/10.3390/s22176452

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460873/
https://www.ncbi.nlm.nih.gov/pubmed/36080911
http://dx.doi.org/10.3390/s22176452

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