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 …
sign language recognition (CSLR). Despite the increase in proposed deep learning …
DEAF-BSL: deep lEArning framework for British sign language recognition
K Kumar - Transactions on Asian and Low-Resource Language …, 2022 - dl.acm.org
The recent development of disability studies in academic bodies has expedited the
promotion of investigation on disability. With computer-aided tools, communication between …
promotion of investigation on disability. With computer-aided tools, communication between …
Classification of phonological parameters in sign languages
Signers compose sign language phonemes that enable communication by combining
phonological parameters such as handshape, orientation, location, movement, and non …
phonological parameters such as handshape, orientation, location, movement, and non …
[PDF][PDF] Sign Language Recognition Using Deep Learning
AVT Kumar, BM Sashank, CU Kiran - academia.edu
Speech impairment bought a communication gap between the 2 class of people and the
disabled still struggle at time to express what's inside their them, so to overcome this …
disabled still struggle at time to express what's inside their them, so to overcome this …